Machine learning end to end guide for java developers

9.99  ·  4,036 ratings  ·  826 reviews
Posted on by
machine learning end to end guide for java developers

Krishna Choppella ( of Mastering Java Machine Learning)

File Name: machine learning end to end guide for java developers.zip
Size: 89512 Kb
Published 17.03.2019

Derek Ferguson — Machine learning in Java from nothing to production in one hour

Veuillez activer JavaScript avant de continuer :. Internet Explorer. Non disponible en magasin.
Krishna Choppella

Princeton University Library Catalog

We use cookies to give you the best experience on our website. By using our services, you agree to our use of cookies. Learn more. Institutions Store Log in Sign up. Don't have an account?

Please choose whether or not you want other users to be able to see on your profile that this library is a favorite of yours. Finding libraries that hold this item You may have already requested this item. Please select Ok if you would like to proceed with this request anyway. WorldCat is the world's largest library catalog, helping you find library materials online. Don't have an account? Your Web browser is not enabled for JavaScript.

Here at Walmart. Your email address will never be sold or distributed to a third party for any reason. Due to the high volume of feedback, we are unable to respond to individual comments. Sorry, but we can't respond to individual comments. Recent searches Clear All.

About This Item

Develop, Implement and Tuneup your Machine Learning applications using the power of Java programming. This course is the right resource for anyone with some knowledge of Java programming who wants to get started with Data Science and Machine learning as quickly as possible. If you want to gain meaningful insights from big data and develop intelligent applications using Java, this course is also a must-have. Machine Learning is one of the core area of Artificial Intelligence where computers are trained to self-learn, grow, change, and develop on their own without being explicitly programmed. In this course, we cover how Java is employed to build powerful machine learning models to address the problems being faced in the world of Data Science. The course demonstrates complex data extraction and statistical analysis techniques supported by Java, applying various machine learning methods, exploring machine learning sub-domains, and exploring real-world use cases such as recommendation systems, fraud detection, natural language processing, and more, using Java programming. The course begins with an introduction to data science and basic data science tasks such as data collection, data cleaning, data analysis, and data visualization.

3 thoughts on “Krishna Choppella ( of Mastering Java Machine Learning)

  1. Editorial Reviews. About the Author. Richard M. Reese has worked in both industry and Machine Learning: End-to-End guide for Java developers: Data Analysis, Machine Learning, and Neural Networks simplified - Kindle edition by Richard.

Leave a Reply