This new report from DataRobot explains the importance of multichannel, multi-touch attribution to accurately measure the success of your marketing efforts — and how automated machine learning offers the shortest path to success.
Interested in learning the concepts behind XGBoost, rather than just using it as a black box? Or, are you looking for a concise introduction to XGBoost? Then, this article is for you. Includes a Python implementation and links to other basic Python and R codes as well.
Recommendation engines are effective because they expose users to content they may not have otherwise found. For a step-by-step guide on building an effective recommendation engine from the ground up, check out our latest guidebook.
Take part in a survey for a global Data Science salary report, which examines the average pay of Data Scientists across the world, reasons for leaving current employers, ideal locations to live and work in, the most common and desirable areas of research/projects and more. Only 5 mins to complete.
New Voices in AI podcast features conversations with top thinkers in the field, including Yoshua Bengio, Oren Etzioni, Jeff Dean, Daphne Koller, and Nick Bostrom. I am very honored to be in such company (on episode 11).
In this eBook, you will learn how NVIDIA DGX Systems offer the fastest path to AI and deep learning, how to spend more time focused on experimentation and less time wrestling with IT, and using DGX Systems include access to NVIDIA-optimized deep learning frameworks.
The KDD Impact Program is looking to fund projects that have potential for a significant impact on society, expand outreach of data science, and strengthen the community, with grants of $10k-$100k for each project. Submission deadline is Dec 1, 2017.
R-Brain is a next generation platform for data science built on top of Jupyterlab with Docker, which supports not only R, but also Python, SQL, has integrated intellisense, debugging, packaging, and publishing capabilities.