In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.
Podcast Highlights: Data Crunch
March 8, 2020 by
Today’s feature podcast series comes from Data Crunch Corporation. The Data Crunch podcast is for those data science, AI, machine learning and deep learning enthusiasts out there who want to know more about the technology’s impact on the world and how it is being utilized in every part of society, from medicine to finance.
TOP 10 insideAI News Articles for February 2020
March 6, 2020 by
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideAI News. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.
“Above the Trend Line” – Your Industry Rumor Central for 3/3/2020
March 3, 2020 by
Above the Trend Line: your industry rumor central is a recurring feature of insideAI News. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
Livestream: Global Women in Data Science (WiDS) Conference
March 2, 2020 by
insideAI News, a Global Women in Data Science (WiDS) Conference media collaborator, is pleased to present the WiDS Stanford livestream. The Global WiDS Conference aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. This annual one-day technical conference features outstanding women doing outstanding work.
Podcast Highlights: O’Reilly Data Show
March 1, 2020 by
Today’s feature podcast series comes from venerable O’Reilly Media that brings us compelling books (with different animals on the cover) on data science, programming, AI, machine learning, etc. The O’Reilly Data Show explores the opportunities and methodologies propelling data science, big data, and AI.
Interview: Mike Hudy, Ph.D., Chief Science Officer at Modern Hire
February 26, 2020 by
I recently caught up with Mike Hudy, Ph.D., Chief Science Officer at Modern Hire, to discuss the use of AI in the hiring process. Hint: it includes a robust and specific code of ethics, implementation with a specific problem in mind, and lots of transparency.
insideAI News Latest News – 2/24/2020
February 24, 2020 by
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.
Podcast Highlights: Towards Data Science
February 23, 2020 by
Today’s feature podcast series comes from one my favorite data science blogs, Towards Data Science, which has consistently high-quality content to expand your knowledge of the field. Use the link to browse the 21 podcast series. Enjoy!
Book Review: Python Machine Learning – Third Edition by Sebastian Raschka, Vahid Mirjalili
February 19, 2020 by
I had been looking for a good book to recommend to my “Introduction to Data Science” classes at UCLA as a text to use once my class completes … sort of the next step after learning the basics. That’s why I was looking forward to reviewing the new 3rd edition of the widely acclaimed title “Python Machine Learning” by Sebastian Raschka, Vahid Mirjalili. The book is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a useful resource you’ll keep coming back to as you fill up your data science toolbox.
