Download this report from Databricks to understand how enterprises are adopting AI technology, the primary challenges holding enterprises back from seeing success with AI, and the benefits of a taking a unified approach to data and AI.
This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more.
Get free ebook, DATAx Guide to Data Visualization in 2019, the definitive foundation to help you prepare for the future of data visualization, AI and machine learning.
In this eBook from Figure Eight and AWS you'll learn what active learning is and how it works, the areas in which active learning can be particularly effective, and how active learning iteratively improves your model.
A range of interesting posts from the /r/MachineLearning Reddit group for the month of August, including: Everybody Dance Now; Stanford class Machine Learning cheat sheets; Academic Torrents; Getting Alexa to respond to sign language using TensorFlow; PyCharm IDE.
A new whitepaper from Anaconda examines the economic impact of AI, how some companies and industries are leveraging AI to generate business value today, and how Anaconda Enterprise serves as an AI enablement platform for organizations seeking to harness the power of AI at scale.
Learn why cluster computing makes Spark the ideal processing engine for complex aggregations, the different types of aggregations that you can do with Spark, and more.
Introducing Octoparse - a sleek, powerful and easy-to-use software that makes web scraping from any websites achievable for most people, including non-coders.
This book covers both classical and modern models in deep learning. The book is intended to be a textbook for universities, and it covers the theoretical and algorithmic aspects of deep learning.
Download this immediately useful book chapter, and learn how to create derived variables, which allow the statistical and Data Science modeling to incorporate human insights.
Read this report to understand the top nine Predictive Analytics and Machine Learning solution providers in the market, and Forrester's 24-criteria evaluation of their strengths and weaknesses.
Math for Machine Learning
Neural Networks and Deep Learning: A Textbook
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