Solve design, planning, and control problems using modern machine learning and AI techniques.
Read on to find out more.
From Graph-Powered Machine Learning by Alessandro Negro
This article discusses managing data in graph-powered machine learning projects.
By Graph-Powered Machine Learning Alessandro Negro
This article discusses creating a bigraph for a user-item dataset.
Brian Goetz is one of the leading figures in the Java world. As Java Language Architect at Oracle, he helps steer the direction of the language’s evolution and its supporting libraries. He has led the language through several important modernizations, including Project Lambda. Brian has a long career in software engineering and is the author of the best-selling book “Java Concurrency in Practice.” (Addison-Wesley, 2006)
From Classic Computer Science Problems in Java by David Kopec
From Deep Learning for Search by Tommaso Teofili
This article discusses how neural networks can help generate text that a human might write in order to provide more sensitive suggestions and enhance autocomplete functionality.
From Fusion in Action by Guy Sperry
From Deep Learning for Search by Tommaso Teofili
If you’ve ever worked on designing, implementing or configuring a search engine, you’ve faced the problem of having a solution that adapts to your data; deep learning helps provide solutions to these problems which are accurately based on the data, not on fixed rules or algorithms.
From Relevant Search by Doug Turnbull and John Berryman
This article discusses debugging query matching in search engines.
