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Review: Bo Burnhams Inside is a successful depiction of a lonely mind – Los Angeles Times

So 2020 happened stuck inside for a year. Many grew and became aware of the person they were. Becoming friends with themselves while others did the quite opposite becoming distanced and acquainted with themselves.

In Bo Burnhams Inside we reaped the fruits of his mind where we find the bare bones of what it means to be a person and how it is ever-changing. Burnham manages to make even the seemingly meaningless topics delve into something bigger. He sings about facetime-ing with your mom, a white womans Instagram, and even the internet as a whole from a carnival barker tone.

This connects to technology, and how being indoors connects you to the outside world but makes you lonelier than ever. Theres also overstimulations lessening of the human experience.

Using music, humor, and intelligence as the forefront but behind all of the knee-slapping content, you are left vulnerable. Theres almost an inability to write about such a raw experience.

Not only were we blessed with Inside but also got a taste of the creative process with clips of setting up the camera and adjusting the lighting only getting more and more impressive. It was visually gorgeous.

Netflix describes Inside as a comedy special that does it a disservice; the only funny thing about it was the irony of how one could convey such an accurate message in a total un #deep manner that Bo has joked so much about.

Bos previous specials make happy and what. culminated in a final number diving deep into the introspection and mental instability that he seems to have perfected for longer, clearer, and less fearful exploitation for much of the second half of Inside.

Inside provides a place of comfort while simultaneously giving you a panic attack whilst watching. The meticulous details such as choosing the correct genre of song that goes with the lyrics.

Emotionally devastating what a privilege it was. It is frightening that a piece of art like this would go unnoticed especially with the lack of featuring and pushing by Netflix. W

hat is remarkable about Bo Burnhams work in Inside is that it presents as a greatest hits album of an artist of 20 years all while feeling current and progressive in the same breath. To make the audience feel comfortable and familiar while challenging in new forms and modalities is worth taking note of; and highly commendable.

So 2020 happened and because of it, we got to see Bo Burnham live up to his potential and create a deranged masterpiece that every artist couldve hoped to create in a time like this.

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AI in Europe: Who’s leading the way and where is it heading? – Siliconrepublic.com

Ireland may be the big adopter of AI in the EU, but a new report from Forrester suggests Europe is still slightly behind other regions.

Artificial intelligence is often slated as the technology that will transform the way we live and do business. But some have embraced it more than others.

Among EU countries, Ireland has the highest share of businesses using AI applications.

Thats according to European Commission data from 2020, which found that 23pc of enterprises in Ireland used any of these four AI applications: analysing big data internally using machine learning; analysing big data using natural language processing, generation or speech recognition; using a chatbot or virtual agent; or using service robots.

Overall, 7pc of enterprises in the EU with at least 10 people employed used at least one of these AI applications in 2020.

Behind Ireland, the countries with the widest uptake of AI tech were Malta (19pc), Finland (12pc) and Denmark (11pc). At the other end of the scale were Cyprus (3pc), Hungary (3pc), Slovenia (3pc) and Latvia (2pc).

A recent report from research and advisory company Forrester said theres a widespread perception that data privacy regulations, ethical concerns and reluctance to adopt cutting-edge tech have resulted in European companies being less advanced in terms of AI adoption that companies in other regions.

A 2020 survey it conducted with responses from data decision-makers in France, Germany and the UK confirmed that there is a lag, but the gap may not be as wide as many perceive it to be.

However, compared with people from other parts of the world, European respondents were less bullish overall about the benefits of AI, according to Forrester.

While 31pc of North American decision-makers surveyed said the benefits of AI were increased automation and improved operational effectiveness, only 28pc of European respondents said the same.

One-third of those in North America said it could also increase revenue growth and improve customer experiences, but only 27pc of those in Europe agreed.

Forrester added that while Europe produces AI excellence, it has trouble scaling start-ups.

Large European companies including Airbus, Bosch, Rolls-Royce and Siemens have been innovating with AI, and Europe has been the birthplace of start-ups such as DeepMind and Featurespace.

However, many start-ups have been acquired by companies outside of the region (with Google snapping up UK-based DeepMind, for example) or have migrated their headquarters to the US.

But the EU is keen to give AI a boost. The European Commission aims to reach an annual investment of 20bn over the course of this decade to help Europe become a global leader in this area of tech. At the same time, it is focusing on making AI ethical and human-centred.

Much like how it took the baton on data protection laws, the European Commission is hoping to set new oversight standards in a bid to create trustworthy AI.

Earlier this year, it outlined a new set of proposals that would classify different AI applications depending on their risks and implement varying degrees of restrictions.

So while other regions may be slightly ahead of Europe when it comes to AI uptake, Forresters report said that European companies are not lagging far behind and the bloc is certainly leading the way in terms of its focus on ethics and trustworthy AI.

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Alma Allens biomorphic sculptures have minds of their own – Wallpaper*

Alma Allens biomorphic sculptures have minds of their own

In a bold takeover of Kasmins gallery and sculpture garden in New York, American artist Alma Allen introduces his latest series of curious creatures in bronze

If you didnt know they were rendered in static bronze, you might be mistaken for thinking that Alma Allens sculptures were alive. Imbued with organic, surreal and creature-like characteristics, they appear to be growing or evolving;blink and you might find them somewhere else.

Allens biomorphic sculptures can currently be found both indoors and outdoors at Kasmin, New York. In the gallerys 514 West 28th Street location, Allen is presenting more than 20 small-scale bronzes. Hyper-polished almost to the point of liquidity, these works are both lifeforms in their own right and proposals for future large-scale works. Atop Kasmins elevated and newly rewilded urban garden, the artists monumental outdoor sculptures can be experienced by all those who walk the adjacent New York High Line.

Allens deep affinity with the natural world stems from a childhood spent in Utah, where proximity to the desert allowed him the chance to roam, whittle wood, and hand-carve stones that he stumbled upon. The sculptures are often in the act of doing something: they are going away, or leaving, or interacting with something invisible, Allen has previously said. Even though they seem static as objects, they are not static in my mind. In my mind, they are part of a much larger universe. They are interacting with each other as well, with works I made 20 years ago.

Allen begins his process by instinctively hand-sculpting intimately scaled model clay or wax forms. Its a gradual emergence as the artist works and reworks until each has a life of its own. The artist casts and finishes the sculptures at his own foundry, on site at his studio in the hills of Tepoztln, Mexico.

Installation view of Alma Allens exhibition at Kasmin gallerys514 West 28th Street location. Photography:Diego Flores

The forms and shapes of Allens work are only half the story; a great deal exists on the surface. The artists expressive and tactile finishes involve welding smaller pieces together, brazing, polishing, and developing chemical patinas until surfaces almost resemble paintings, or even rippling landscapes.

Kasmin is in the process ofimagining new ways to bring Allens sculpture to the public. The gallery ispartnering with Membit, an augmented reality platform to create anart anywhereexperience.Through this, users are able to introduce a 3D image of one of Allens sculptures into their own environments, whether athome, a local wilderness, or in a public space.

Here, small-scale meets monumental, exhibiting the versatility and ambition of Allens work. Whether occupying the clean white walls of the gallery or reaching for the skyline in Kasmins urban garden, Allens sculptures feel very much at home.

Photography:Diego Flores

Photography:Diego Flores

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AI In Healthcare Market Rapid Growth USD 120 Bn by 2028| IBM Corporation, NVIDIA Corporation, Nuance Communications, Microsoft, Intel Corporation,…

The AI In Healthcare Market is expected to expand USD 120 billion at a CAGR of +41% from 2021 to 2028.

Artificial intelligence in healthcare is an overarching term used to describe the use of machine-learning algorithms and software, or artificial intelligence (AI), to mimic human cognition in the analysis, presentation, and comprehension of complex medical and health care data.

AI analyzes data throughout a healthcare system to mine, automate and predict processes. It has been used to predict ICU transfers, improve clinical workflows and even pinpoint a patients risk of hospital-acquired infections.

Across the healthcare industry, artificial intelligence is changing the way clinical providers make decisions. More than ever, its playing a key role in clinical decision support as it delivers data to providers to aid in diagnosing, treatment planning and population health management.

The future of AI in health care could include tasks that range from simple to complex everything from answering the phone to medical record review, population health trending and analytics, therapeutic drug and device design, reading radiology images, making clinical diagnoses and treatment plans.

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The AI In Healthcare Market report gives the 360 degree perspective on the fundamentals of market, definitions, groupings, applications and industry chain review, industry arrangements and plans, item details, forms, cost structures and afterward on. At that point it examine the worlds primary district and economic situations, including the product value, benefit, limit, creation, limit usage, request and development pace of industry.

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Highlights of the report:

The report covers the major driving factors influencing the revenue scale of the AI In Healthcare Market and details about the surging demand in this area. The report then highlights the latest trends and challenges that leading industry contenders could face. The significant applications and potential business areas are also added to this report. AI In Healthcare market research is provided for international markets as well as development trends, competitive landscape analysis and development status of key regions. Development policies and plans are discussed as well as manufacturing processes and analysis of cost structures. This report also shows import/export consumption, supply and demand, costs, prices, revenues and gross margins.

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The report provides major statistics of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market. AI In Healthcare is explained in detail in various regions and various segments of the industry.

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Tuition Scholarship in Spatio-Temporal Data Mining for Mineral Exploration – News – The University of Sydney

1. Background

a. This Scholarship has been established to provide financial assistance to a PhD student where the focus of their research is on spatio-temporal data mining for mineral exploration.

2. Eligibility

a. The Scholarship is offered subject to the applicant with an unconditional offer of admission for full-time studies in a PhD within the School of Geosciences, University of Sydney

b. Applicants must be willing to conduct research into spatio-temporal data mining for mineral exploration.

c. Applicants must be an international student.

d. Applicants must also hold at least one of the following:I. an Honours degree (First Class or Second Class Upper) or equivalent in a relevant discipline, orII. Masters degree with a substantial research component.

e. Applicant must have a background in geological resources and geological engineering, with emphasis on mineral exploration and machine learning

f. Applicants must hold a primary scholarship that provides a stipend form the University of Sydney.

3. Selection Criteria

a. The successful applicant will be awarded the Scholarship on the basis of:

I. academic merit,II. area of study and/or research proposal andIII. curriculum vitae.

b. The successful applicant will be awarded the Scholarship on the nomination of the relevant research supervisor(s), or their nominated delegate(s).

4. Value

a. Academic course fees and the Student Services Amenities fee (SSAF) are also provided for a successful international applicant, for 12 research periods, subject to satisfactory academic performance.

b. The recipient may apply for an extension of the academic course fees and SSAF for up to 2 research periods.

c. Periods of study already undertaken towards the degree prior to the commencement of the Scholarship will be deducted from the maximum duration of the Scholarship excluding the potential extension period.

d. The Scholarship is for commencement in the relevant research period in which it is offered and cannot be deferred or transferred to another area of research without prior approval.

e. No other amount is payable.

f. The Scholarship will be offered subject to the availability of funding.

5. Eligibility for Progression

a. Progression is subject to attending and passing the annual progress evaluation.

6. Leave Arrangements

a. Not applicable.

7. Research Overseas

a. The same conditions as indicated in the terms and conditions of the primary stipend scholarship.

8. Suspension

a. The same conditions as indicated in the terms and conditions of the primary stipend scholarship.

9. Changes in Enrolment

a. The same conditions as indicated in the terms and conditions of the primary stipend scholarship.

10. Termination

a. The Scholarship will be terminated:

I. on resignation or withdrawal of the recipient from their research degree,II. upon submission of the thesis or at the end of the award,III. if the recipient ceases to be a full-time student and prior approval has not been obtained to hold the Scholarship on a part-time basis,IV. upon the recipient having completed the maximum candidature for their degree as per the University of Sydney (Higher Degree by Research) Rule 2011 Policy,V. if the recipient receives an alternative primary tuition fee scholarship. In such circumstances this Scholarship will be terminated in favour of the alternative tuition fee scholarship where it is of higher value,VI. if the recipient does not resume study at the end of a period of approved leave, orVII. if the recipient ceases to meet the eligibility requirements specified for this Scholarship, (other than during a period in which the Scholarship has been suspended or during a period of approved leave).

b. The Scholarship may also be terminated by the University before this time if, in the opinion of the University:

I. the course of study is not being carried out with competence and diligence or in accordance with the terms of this offer,II. the student fails to maintain satisfactory progress, orIII. the student has committed misconduct or other inappropriate conduct.

c. The Scholarship will be suspended throughout the duration of any enquiry/appeal process.

d. Once the Scholarship has been terminated, it will not be reinstated unless due to University error.

11. Misconduct

a. Where during the Scholarship a student engages in misconduct, or other inappropriate conduct (either during the Scholarship or in connection with the students application and eligibility for the Scholarship), which in the opinion of the University warrants recovery of funds provided, the University may require the student to repay payments made in connection with the Scholarship. Examples of such conduct include and without limitation; academic dishonesty, research misconduct within the meaning of the Research Code of Conduct (for example, plagiarism in proposing, carrying out or reporting the results of research, or failure to declare or manage a serious conflict of interests), breach of the Code of Conduct for Students and misrepresentation in the application materials or other documentation associated with the Scholarship.

b. The University may require such repayment at any time during or after the Scholarship period. In addition, by accepting this Scholarship, the student consents to all aspects of any investigation into misconduct in connection with this Scholarship being disclosed by the University to the funding body and/or any relevant professional body.

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Lifesciences Data Mining and Visualization Market: North America to Account for Largest Revenues Forecast 2017 to 2026 The Manomet Current – The…

The research report presents a comprehensive assessment of the market and contains thoughtful insights, facts, historical data and statistically supported and industry-validated market data. It also contains projections using a suitable set of assumptions and methodologies. The research report provides analysis and information according to market segments such as geographies, application and industry

To remain ahead of your competitors, request for a sample https://www.factmr.com/connectus/sample?flag=S&rep_id=459

The global healthcare data mining & visualizationmarket has been slated to reflect a spectacular rise between the forecast period 2017 and 2026. The market has been estimated to surpass US$ 6,000 Mn in revenues by 2026-end.

Companies Leveraging Lifesciences Data Visualization to Make Improvements in their Facilities

With the business of lifesciences witnessing continuous evolution, optimizing effectiveness of decisions related to capital investment is gaining paramount importance within the industries. The decisions apropos to facility function & location are indispensable, mainly because proximity to services plays pivotal role. Lifescience data visualization has therefore been gaining huge momentum along with its provision of the application-specific data and infographics.

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Lifescience data visualization facilitates better understanding of complex datas graphical representation, which has led companies to capitalize on the technology with an aim to make improvements in their facilities. A popular trend witnessed in the market is increasing importance of sharing lifescience data visualization in a bid to enable discerning of results in a format that is easy to understand.

Data mining is intensively & extensively being utilized by several lifesciences organizations, and is gaining immense popularity in the industry, although the degree of essentiality has been moderate. The data mining applications significantly benefit the lifesciences companies, for example, these organizations can make correct decisions associated with customer relationship management, thereby enabling physicians in identifying best practices as well as effective treatment options. Patients are provided with affordable & improved healthcare services.

Huge amount of highly complex data created by transactions apropos to the lifesciences industry entails challenges such as processing and analyzing the voluminous data by using traditional methods. However, with the help of methodology and technology of data mining, the process of transforming this complex data into a useful intelligence is facilitated.

Key Future Projections of Lifescience Data Mining and Visualization Market for Forecast Period 2017-2026

Key players identified by Fact.MRs report include Tableau Software, SAS Institute Inc., SAP SE, Microsoft Corporation, TIBCO Software Inc., Oracle Corporation, IBM Corporation, Dundas Data Visualization Inc., Information Builders, Pentaho Corporation, MicroStrategy Inc., and InetSoft Technology Corporation.

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Graduate certificate in advanced analytics meets a critical need in higher ed – ASU Now

June 16, 2021

Education policy in the U.S. runs on data. Yet the amount and breadth of data available can outpace the ability of policymakers and administrators to digest it. This is particularly true in higher education administration, saysRebecca T. Barber.

Barber developed the program and teaches the coursework for thegraduate certificate in Advanced Analytics in Higher Educationin Arizona State University's Mary Lou Fulton Teachers College. The 15-credit online program prepares professionals to conduct advanced analytics to support data-driven decision-making in higher and postsecondary education. Advanced data analytics is a powerful tool for higher education professionals. Download Full Image

Barber explained why she created the program and why its even more valuable today than when theMary Lou Fulton Teachers Collegelaunched the program in 2016.

Question: Who was this certificate designed for?

Answer:The program teaches advanced analytical techniques up through basic data mining for administrators at all levels of higher education.

Leaders in higher ed are asking for data on which to make decisions, but there is more to providing that data than meets the eye. The best analysts understand both the data and the business processes they are analyzing. But often we bring in technical experts who dont know the business, or we have business experts without the technological background to perform a rigorous, actionable analysis. This certificate bridges that gap. It uses higher education examples and powerful tools to teach a subject-matter expert how to gather, cleanse, analyze and report on data to improve operations in every aspect of higher ed, including identifying the most promising prospects for enrollment, keeping students on track to graduation and even maximizing donations from alumni. The power of data is getting it into the hands of the front-line analysts and helping them make the most of it.

Q: How will this certificate program make those administrators better at their jobs?

A:The certificate provides four things, each of them applicable beginning with the first course:

Rebecca T. Barber

Q: Is this certificate unique?

A:Yes. While there are other programs that address pieces of this material, they all had what I saw as a major flaw: Theyre industry-specific. Business analytics programs use business examples that tend to be unfamiliar to educators, and they have high program fees, putting them out of reach for higher ed employees. Engineering programs focus on math and programming, often with high entry requirements for prior math courses. Institutional research degrees and certificates tend to focus on assessment, measurement and qualitative data important areas, but not helpful for someone working in enrollment or philanthropy. These programs rarely talk about predictive analytics, and when they do it is often covered as one small segment of a larger class.

In contrast to these programs, MOOCs massive open online courses may offer some of the technical topics for a lower cost, but they often do so in a disjointed way. And on average, under 4% of students who start a MOOC finish it, suggesting that the camaraderie and accountability of a course make a difference.

Q: Before this program was offered, how did people get the skills it provides?

A:People often put those skills together in an ad hoc way: a MOOC or two, maybe a book, some technical training from a vendor, or just learning as you go was the only way to develop the skill set. They learned the underlying analytical thinking skills by osmosis. There were nowhere near the number of skilled analysts in higher education needed to support all of the data requests.

Q: Is there an increased need for personnel with the skills this certificate program provides?

A: The pandemic has drawn attention to areas in which institutions are unable to get access to the data they need to pivot quickly. The data may exist but not be available, or it might be in a data warehouse but not in a form that actually answers the questions that have come up.

But even before the pandemic, the reality of the last decade has been that higher education has been pushed to do more and more with less and less. Analysis is at the heart of accomplishing the goal of doing more. Most of the easy work has been done, but there are many improvement opportunities available within higher ed that require a better understanding of whats already happening. Data is key to directing limited resources time, personnel, money to where they can most benefit an institution and its students.

TheAdvanced Analytics in Higher Education certificateprogram offers multiple start dates throughout the year.View application deadlines.

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Data Mining and Modeling Market Analysis, Growth Opportunities and Outlook 2021-2026| SAS, IBM, Symbrium, Coheris, Expert System, Apteco The Courier…

The Data Mining and Modeling Market Report aims to provide an overview of the industry through detailed market segmentation. The report offers thorough information about the overview and scope of the market along with its drivers, restraints and trends. This report is designed to include both qualitative and quantitative aspects of the industry in each region and country participating in the study.

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https://www.reportsintellect.com/sample-request/2003615

Key players in Global Data Mining and Modeling Market include:

SAS, IBM, Symbrium, Coheris, Expert System, Apteco, Megaputer Intelligence, Mozenda, GMDH, Optymyze, RapidMiner, Salford Systems, Lexalytics, Semantic Web Company, Saturam

This report segments the Global Data Mining and Modeling Market on the basis of Types are:Cloud-basedOn-premises

On the basis of Application, the Global Data Mining and Modeling Market are segmented into:Large EnterprisesSmall and Medium-sized Enterprises (SMEs)

This study specially analyses the impact of Covid-19 outbreak on the Data Mining and Modeling, covering the supply chain analysis, impact assessment to the Data Mining and Modeling market size growth rate in several scenarios, and the measures to be undertaken by Data Mining and Modeling companies in response to the COVID-19 epidemic.

This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.

Americas, United States, Canada, Mexico, Brazil, APAC, China, Japan, Korea, Southeast Asia, India, Australia, Europe, Germany, France, UK, Italy, Russia, Middle East & Africa, Egypt, South Africa, Israel, Turkey, GCC Countries

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The scope of this research report extends from the basic outline of the Data Mining and Modeling Market to tricky structures, classifications and applications. This research report also provides a clear picture of the global market by presenting data through effective information graphics. It also provides a detailed list of factors that affect market growth.

A detailed study of the competitive landscape of the Global Data Mining and Modeling Market has been given along with the insights of the companies, financial status, trending developments, mergers & acquisitions and SWOT analysis. This research will give a clear and precise idea about the overall market to the readers to take beneficial decisions.

Data Mining and Modeling Report provides future growth drivers and competitive landscape. This will be beneficial for buyers of the market report to gain a clear view of the important growth and subsequent market strategy. The granular information in the market will help monitor future profitability and make important decisions for growth.

Objective of Studies:

-To provide detailed analysis of the market structure along with forecast of the various segments and sub-segments of the global Data Mining and Modeling market.

-To provide insights about factors affecting the market growth.To analyse the Data Mining and Modeling Service market based on various factors-price analysis, supply chain analysis, Porte five force analysis etc.

-To provide historical and forecast revenue of the market segments and sub-segments with respect to four main geographies and their countries- North America, Europe, Asia, Latin America and Rest of the World.

-To provide country level analysis of the market with respect to the current market size and future prospective.

-To provide country level analysis of the market for segment by application, product type and sub-segments.

-To provide strategic profiling of key players in the market, comprehensively analyzing their core competencies, and drawing a competitive landscape for the market.

-To track and analyse competitive developments such as joint ventures, strategic alliances, mergers and acquisitions, new product developments, and research and developments in the global Data Mining and Modeling market.

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Data Mining and Modeling Market Analysis, Growth Opportunities and Outlook 2021-2026| SAS, IBM, Symbrium, Coheris, Expert System, Apteco The Courier...

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The 12 Best Python Certifications Online to Consider in 2021 – Solutions Review

The editors at Solutions Review have compiled this list of the best Python certifications online so you can grow your skills for work.

Python is an object-oriented programming language comparable to Perl, Ruby, Scheme and Java. It utilizes an elegant syntax that makes the programs you write easier to read, and it is ideal for prototype development and other ad-hoc tasks.Pythoncomes with a large standard library that supports many common programming tasks as well, including connecting to web servers, searching text with expressions, and reading and modifying files. The language can be extended by adding new modules as well.

With this in mind, weve compiled this list of the best Python certifications from leading online professional education platforms and notable universities. The certifications listed offer students the training they need to develop new skills and advance their careers. This is not an exhaustive list, but one that features the best Python certifications online from trusted institutions. We made sure to include certificate descriptions and Solutions Reviews personal take on each.

Platform: edX

Description: Learn how to differentiate between linear data structures like linkedlists, arrays, arraylists, stacks, and queues, and select the correct structure for a given situation. Analyze data structure performance with the course visualization tool.

Platform: Experfy

Description: Experfys Machine Learning Certification program was molded by industry experts to arm you with the skills that you need to succeed in this ever-evolving job market. You will learn popular machine learning algorithms such as Supervised Learning: Decision Trees, Nave Bayes Classification, Ordinary Least Squares Regression, Logistic Regression, Support Vector Machines; Unsupervised Learning: Clustering Algorithms, Principal Component Analysis, Singular Value Decomposition along with Python code examples tackling real-life use cases from different industries.

Platform: Experfy

Description: Learn about the technologies that are changing the world to learn the skills that are most in-demand. Courses include Introduction to Artificial Intelligence, Machine Learning Fundamentals, Deep Learning Applications, Introduction to Python, Tableau for Data Visualization, Why Big Data is so important today, Internet of Things, and Blockchain Technology Fundamentals.

Platform: Simplilearn

Description: Ensure career success with this artificial intelligence course, in collaboration with IBM. Featuring exclusive IBM hackathons, masterclasses and ask-me-anything sessions, this AI certification training helps you master key concepts including data science with Python, machine learning, deep learning, and natural language processing Moreover, get job-ready AI training with live sessions, practical labs, and projects.

Platform: Simplilearn

Description: This Big Data Engineer Masters Certification program in collaboration with IBM provides online training on the best big data courses to impart skills required for a successful career in data engineering. Master the big data and Hadoop frameworks, leverage the functionality of AWS services, and use the database management tool MongoDB to store data.

Platform: Simplilearn

Description: This globally recognized Business Analyst Certification course is designed to train you on all three aspects of business analysis planning and monitoring, requirements elicitation, and requirements management and communication. Become job-ready by learning the latest tools, working on real-world projects, and attending Master Classes from IBM experts.

Platform: Simplilearn

Description: This Data Analyst Masters Program in collaboration with IBM will make you an expert in data analysis. In this Data Analyst certification course, youll learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.

Platform: Simplilearn

Description: This Data Science course, in collaboration with IBM, features exclusive IBM hackathons, masterclass, and ask-me-anything sessions for the best training experience. This data scientist certification training provides hands-on exposure to key technologies including R, Python, machine learning, Tableau, Hadoop, and Spark via live interaction with practitioners, practical labs, and industry projects.

Platform: Udacity

Description: Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation). Formal prerequisites include basic knowledge of algebra, and basic programming in any language.

Platform: Udacity

Description: Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use Python, SQL, Command Line, and Git. There are no prerequisites for this program, aside from basic computer skills.

Platform: Udacity

Description: Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation). Formal prerequisites include basic knowledge of algebra and basic programming in any language.

Platform: Udacity

Description: A graduate of this program will be able to design and build databases for software applications, create and deploy database-backed web APIs, and secure and manage user authentication and access control for an application backend. Students will also learn how to deploy a Flask-based web application to the cloud using Docker and Kubernetes.

Platform: Udacity

Description: Learn the basics of programming through HTML, CSS, and Python. Explore possible programming paths with our final project selection. Get confident in your ability to think and problem-solve like a programmer. Be primed and ready for our career-ready programs after mastering these projects.

Platform: Udacity

Description: The Intermediate Python Nanodegree program equips you to leverage the capabilities of Python and streamline the functionality of applications that perform complex tasks, such as classifying files, data mining a webpage, etc. By the end of the program, youll have a portfolio that demonstrates your ability to apply practicioner-level Python skills on the job.

Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.

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The 12 Best Python Certifications Online to Consider in 2021 - Solutions Review

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Palantir CEO has a simple reason company’s stock draws Reddit crowd: ‘We respect the intelligence and the rigor of what is typically called individual…

Alex Karp, chief executive of Palantir, on Wednesday said the company respects the retail crowd, which has been mostly bullish on its stock, just as much as it appreciates institutional investors.

Speaking at a Barrons Investing in Tech virtual conference, Karp speculated that Palantirs bold claims, as well as its plain-spoken statements as a company and about its mission, have helped to engender the confidence of individual investors.

We speak [in] clear English about what we are going to dobecause of that we respect the intelligenceand the rigor of what is typically called individual investors, Karp said.

Palantir went public back on Sept. 30 via a direct listing and rapidly became a popular trade among individual investors. The data-mining and software solutions firm, which is viewed as secretive by some, is particularly popular on venues like Robinhood Markets and Reddit.

Shares of Palantir Technologies PLTR, +1.21% were up 1.6% on Wednesday and have climbed 24% in the past 30 days but only 5.3% in the year to date, FactSet data show.

By comparison, the Dow Jones Industrial Average DJIA, -0.56% is down 0.3% over the past 30 days but up nearly 12% in the year to date. The S&P 500 index SPX, -0.31% is up 1.6% in the month and up nearly 13% so far in 2021, while the Nasdaq Composite Index COMP, -0.05% is up 4.7% in the 30-day period and up more than 9% thus far in the year.

An outspoken executive, Karp also said that Wall Street analysts tend to poorly understand the company, often in an effort to label it.

Analysts tend to butcherthat quite frankly by breakingus up into the Frankenstein monster that they might otherwise see in an enterprise monster, he said.

Palantir recently reported a fiscal first-quarter net loss of $123 million, or 7 cents a share, compared with a loss of $54 million, or 10 cents a share, a year earlier.Palantirs revenue for the quarter rose to $341 million from $229 million a year prior, while analysts tracked by FactSet were projecting $332 million. The company added 11 new commercial customers in the latest quarter.

Roughly half of Palantirs revenues are derived from government contracts.

Karp said that companies need to be more focused on software, which he said is moving from a luxuryproductto the thing thatwill determinewhether you survive as an industry. or as a government.

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Palantir CEO has a simple reason company's stock draws Reddit crowd: 'We respect the intelligence and the rigor of what is typically called individual...

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