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.
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.
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 […]
Watch a free webinar by Mark Meloon, an experienced Data Scientist who has first hand experience with the difficulties landing that first gig as a Data Scientist.
He has helped a lot of others navigate and position themselves to get in the door and start their lucrative careers. It worth listening to what he has to say. His advice is proven to work. He’s given talks a major bootcamps (e.g. Metis, Galvanize) and have made a name for himself advising “aspiring” data scientist.
In this free training will show you his proven step-by-step system for landing the job of your dreams, even if you don’t have prior experience or a Ph.D.!
Domino Data Labs recently made the Gartner 2017 Magic Quadrant for Data Science Platforms. Here, Domino’s Chief Data Scientist, Eduardo Arino de la Rubia, does a great job making the very complex easily understandable. Learn more about the platform…
This book has been written in layman’s terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, they stick to intuitive explanations and visuals.
“This list of 500+ was started in 2012, updated in 2014 and also very recently according to the author. It was compiled by 101.datascience.community, and broken down by degree (master / bachelor / certificate / doctorate) and location (online / on-site.)” – Source Data Science Central Read More
At the Machine Learning Meetup in NYC, Dan Melamed gave a machine learning talk titled: “How To Learn From What Your Users Might Not See”. This talk will focus on contextual bandits and their applications.
In this tutorial, Dan will show how to learn from such data in a principled, efficient, and unbiased manner. The techniques that he will describe were largely responsible for a click-thru rate gain of over 25% on MSN.com. Watch Video