[unable to retrieve full-text content]We examine the implications of trends in hiring market, including the growth of quantitative Initiatives, blurring of the lines between Predictive Analytics and Data Science Professionals, and more .
Original Post: 4 Major Trends Influencing the 2017 Predictive Analytics Hiring Market
[unable to retrieve full-text content]In this article, I will explore natural stupidity in more detail and show how our current technology (driven by narrow artificial intelligence) is making us collectively dumber.
Original Post: Natural Stupidity is more Dangerous than Artificial Intelligence
[unable to retrieve full-text content]At the Deep Learning Summit in Montreal last week, we saw Yoshua Bengio, Yann LeCun and Geoffrey Hinton come together to share their most cutting edge research progressions as well as discussing the landscape of AI and the deep learning ecosystem in Canada.
Original Post: RE•WORK Deep Learning Summit Montreal Panel of Pioneers Interview: Yoshua Bengio, Yann LeCun, Geoffrey Hinton
[unable to retrieve full-text content]Social media and machine learning concepts are transforming self-service data prep into a collaborative data marketplace.
Original Post: Social Media and Machine Learning Transform Self-service Data Prep
[unable to retrieve full-text content]Read up on what you missed from the RE•WORK Deep Learning Summit Montreal, held October 10 & 11, including talks from Aaron Courville, Ira Kemelmacher-Shlizerman, Roland Memisevic, and Raquel Urtasun.
Original Post: Key Trends and Takeaways from RE•WORK Deep Learning Summit Montreal – Part 1: Computer Vision
[unable to retrieve full-text content]After completing the 3 most popular MOOCS in deep learning from Fast.ai, deeplearning.ai/Coursera (which is not completely released) and Udacity, I believe a post about what you can expect from these 3 courses will be useful for future Deep learning enthusiasts.
Original Post: An Overview of 3 Popular Courses on Deep Learning
[unable to retrieve full-text content]There’s been a lot of hype about Data Science… and probably just as much confusion about it. Marketing scientist Kevin Gray asks Jennifer Priestley, Associate Dean of The Graduate College and Professor of Statistics and Data Science at Kennesaw State University, what Data Science really is, what makes a good Data Scientist, and how to become one.
Original Post: Want to Become a Data Scientist? Read This Interview First
[unable to retrieve full-text content]Strata is a conference I very much enjoyed attending. This year, I observed a few common themes that ran across much of the conference content: Data Science Collaboration, Data Ethics, and Platform Optimization.
Original Post: Strata Data Conference, NYC – Key Trends and Highlights
[unable to retrieve full-text content]The relevance of a full stack developer will not be enough in the changing scenario of things. In the next two years, full stack will not be full stack without AI skills.
Original Post: How I started with learning AI in the last 2 months
[unable to retrieve full-text content]I want to recommend several credible sources of accurate information. Most of the writing on this list is intended to be accessible to anyone—even if you aren’t a programmer or don’t work in tech.
Original Post: Credible Sources of Accurate Information About AI