Fast track your job hunt through Data Science career fairs. The article discusses the top ways for students to get hired. Topics include the following: Gaining Internships, understanding the hiring process, getting exposure to trends and organizations, getting feedback, direct exposure to hiring managers, and deciding what industry you wish to pursue.
As businesses continually seek to increase productivity, efficiency, and profit, leaders are looking to Artificial Intelligence and Machine Learning. The article discusses how Machine Learning for businesses will trend in 2019.
Check out the following interview with Terrence Sejnowski, a computational neuroscientist at the Salk Institute for Biological Studies. In his newly released book, “The Deep Learning Revolution” He argues that the hype about killer AI or robots making us obsolete ignores exciting possibilities happening in the fields of computer science and neuroscience, and what can happen when artificial intelligence meets human intelligence.
Learn how to get your data right through successful machine learning. Presented by Michelangelo D’Agostino, Head of Data Science at ShopRunner, and Kenneth Dallmeyer, Data Engineer at ShopRunner.
In this article + interview from MastersInDataScience, learn information on “How to Become a Data Scientist” and read an interview with Lisa Qian, Data Scientist at Airbnb about what she does on the job.
In this interview with Data Scientist Mark Meloon, we turn the tables and I provide advice to “aspiring” Data Scientists on how to land that first job. It’s broker down into 10 Parts (by question.). Enjoy!
Since joining RavenPack in 2008, Peter Hafez, Chief Data Scientist, has been a pioneer in the field of applied news analytics, bringing alternative data insights to the world’s top banks and hedge funds. Here he answers our questions on the prospects for the alt data market and RavenPack’s latest innovations. What do you think are […]
With $9 billion invested annually in R&D, and an approximate 10 year / $2.5 billion cost for each new product to enter the market, Novartis Chief Digital Officer Bertrand Bodson discusses the significance of Data Science for his company in the following article by Elizabeth Dougherty
When Bertrand Bodson decided to join Novartis, his friends were surprised. You like a fast pace, they said, and pharma is slow. You like to be on the leading edge of digital and pharma is…not.
In the following article, William Schmarzo discusses the responsibilities, capabilities, expectations and competencies of the Data Engineer, Data Scientist and Business Stakeholder.
So what is the difference? “Data Science vs Machine Learning” “A simple distinction between Data Science vs Machine Learning for project managers and team leads.” by Charles Martin, PhD Data Science & Machine Learning Expert (YouTube Channel) OTHER: Artificial Intelligence Vs. Machine Learning Vs Data Science Vs Deep Learning My Quora Answer to: What […]