Math for Machine Learning This ebook explains the math involved and introduces you directly to the foundational topics in machine learning.
on Sep 28, 2018 in
Book, ebook, Machine Learning, Mathematics, Richard Han
Struggling with AI? You’re not alone – Read the report 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.
on Sep 27, 2018 in
AI, Databricks, Report
Principles of Database Management: The Practical Guide to Storing, Managing and Analyzing Big and Small Data This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more.
on Sep 26, 2018 in
Bart Baesens, Book, Database Management
ebook: DATAx Guide to Data Visualization 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.
on Sep 25, 2018 in
Data Visualization, DATAx, ebook, IE Group, New York City
Deep Learning: The Impact of NVIDIA DGX Station Read this IDC report & see how a deep learning workstation may solve IT problems of many researchers, developers, and creative professionals.
on Sep 25, 2018 in
Deep Learning, IDC, NVIDIA
How to Put Active Learning to Work for Your Enterprise 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.
on Sep 17, 2018 in
Active Learning, AWS, ebook, Figure Eight, Machine Learning
Top /r/MachineLearning posts, August 2018: Everybody Dance Now; Stanford class Machine Learning cheat sheets; Academic Torrents for sharing enormous datasets 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.
on Sep 15, 2018 in
Alexa, Cheat Sheet, Deep Learning, Machine Learning, PyCharm, Reddit, Supervised Learning, TensorFlow, Tips, Unsupervised Learning
Whitepaper: Why Your Business Needs an AI Platform 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.
on Sep 14, 2018 in
AI, Anaconda, Platform, White Paper
ebook: Aggregating Data with Apache Spark™ 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.
on Sep 12, 2018 in
Apache Spark, Data Preparation, Databricks, ebook
What is Web Scraping and Why You Should Learn It? Introducing Octoparse - a sleek, powerful and easy-to-use software that makes web scraping from any websites achievable for most people, including non-coders.
on Sep 10, 2018 in
Glassdoor, Industry, LinkedIn, Octoparse, Web Scraping
Neural Networks and Deep Learning: A Textbook 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.
on Sep 7, 2018 in
Book, Charu Aggarwal, Deep Learning, Neural Networks
Data Mining Book – Chapter Download. 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.
on Sep 7, 2018 in
Data Mining, Derived Variables, Feature Engineering, JMP, Michael Berry
The Forrester Wave™: Notebook-Based Predictive Analytics And Machine Learning Solutions, Q3 2018 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.
on Sep 5, 2018 in
Domino, Forrester, Machine Learning, Predictive Analytics