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Cloudera Shines Educational Spotlight on Data and AI with Children’s Book for 8- to 12-year-olds

Cloudera, Inc., the enterprise data cloud company, announced “A Fresh Squeeze on Data,” a downloadable children’s book that explains simple ways to problem solve with data in a manner that kids can understand. The book was created in partnership with education company ReadyAI, with the goal of making data and AI more interesting and accessible to 8- to 12-year-olds.

Book Review: Mathematics for Machine Learning

“Mathematics for Machine Learning” by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong, published by Cambridge University Press, is an excellent way to learn the math behind the models. This review shall highlight all the ways this book is special among the competition. Of all the books I’ve reviewed thus far, this is my favorite. Read on to learn why.

Video Highlights: FeatureTerminatoR Package for R

FeatureTerminatoR is an R package to remove unimportant variables from statistical and machine learning models automatically. The motivation for this package is simple, while there are many packages that do similar things, few of them perform automated removal of the features from your models. The author provides the video presentation below to help get you familiar with how the package works.

Global Data Science Competition Gathered Brilliant Minds to Solve Social Problems

For over two months, 50 teams representing 34 nationalities competed for a spot in the top ten of the World Data League (WDL) – a quest to find long-lasting solutions for social-oriented problems using data.

Book Review: Machine Learning for Kids

I greatly enjoyed reading and reviewing this delightful new book, Machine Learning for Kids: A Project-based Introduction to Artificial Intelligence, by Dale Lane, which was developed to introduce machine learning technology to children. It is well-written and includes everything needed to jump-start a kid’s life in data science. The book is just the thing to motivate a young person to extend their innate curiosity to data centric experimentation.

New Research Suggests Young Digital Natives Lack the Data Literacy Employers Crave — But Is It All a Big Misunderstanding?

Exasol, a leading high performance analytics database company, launched the findings of its new study into the attitudes and understanding that young people currently in higher education or just entering the world of work have towards data. The study of 3,000 16- to 21-year-olds (coined D/NATIVES by Exasol because of their everyday digital skills) finds that despite over half of respondents believing that their ability to understand data will be as vital to their future as their ability to read and write — only 43% actually consider themselves to be data literate.

ACM Issues Computing Competencies for Undergraduate Data Science Curricula

Recognizing the explosive growth of data science as a field, as well as the demand for data science training at the undergraduate level, a Data Science Task Force convened by the Association for Computing Machinery’s Education Board recently released “Computing Competencies for Undergraduate Data Science Curricula.” The ACM report seeks to define what the computing/computational contributions are to this new field, as well as to provide guidance on computing-specific competencies in data science for departments offering such programs of study at the undergraduate level.

Mistakes to Avoid When Starting a Career in Data Science

In this contributed article, IT and digital marketing specialist Natasha Lane, highlights how the shortage of data science talent is dramatic, but there are still a few mistakes you can make getting your foot in the door. These are the types of mistakes that can slow down your initial career progress, so the article covers them to help you make sure you’ll avoid the pitfalls.

How Third-party Data Can Enable Better Business Insights

Join this virtual event with Stephen Orban, author of Ahead in the Cloud and General Manager of AWS Data Exchange. He will lead a panel discussion with AWS customers to discuss the innovative techniques being used in data pipelines, with data analysis, and for data visualization. You will hear about real-world initiatives and breakthroughs being enabled by third-party data.

Academia and Industry Meet to Reimagine the AI Graduate

In this contributed article, Alan Mc Glinchey, VP of Emerging Growth Companies at IDA Ireland, discusses how higher institutions are building out their course rosters as the AI talent gap spans new markets. In this area, Ireland has an innovative approach that has yielded a ready supply of AI talent in recent years.