Responsible AI is reaching new heights these days. Companies have started exploring Explainable AI as a means to explain the results better to senior leadership and increase their trust in AI Algorithms. This workshop presentation, conducted by Supreet Kaur, Assistant Vice President at Morgan Stanley, will entail an overview of this area, importance of it in today’s era, and some of the practical techniques that you can use to implement it.
Why a Data-driven Culture is Important to the Success of your SaaS Business
January 21, 2023 by Leave a Comment
In this contributed article, Joseph “OG” Meyers, discusses one of the best ways SaaS businesses can create advantage is by fostering a data-driven culture. Doing so lays the groundwork for employees at all levels to make sound business decisions that lead to success. To elaborate, here’s an explanation of what a data-driven culture means and why it’s so important to the success of a SaaS business.
Data Science: U-M Partners with Google to Offer Job-ready Tech Skills Program
October 14, 2022 by 1 Comment
A new flexible online training program on data science will prepare job-seekers in Michigan and beyond to quickly enter one of the fastest-growing labor markets and advance their careers. The University of Michigan’s Center for Academic Innovation created the program, “Data Analytics in the Public Sector with R,” for data science and other professionals interested in how public data sets can drive decisions and policymaking in the public sector. The course complements current Google career certificates, flexible online “Grow with Google” job-training programs for high-demand fields.
Cloudera Shines Educational Spotlight on Data and AI with Children’s Book for 8- to 12-year-olds
September 30, 2021 by Leave a Comment
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
August 4, 2021 by Leave a Comment
“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
August 1, 2021 by Leave a Comment
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
July 23, 2021 by Leave a Comment
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
April 20, 2021 by Leave a Comment
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?
March 28, 2021 by Leave a Comment
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
March 21, 2021 by Leave a Comment
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.
