Hands-on Machine Learning with TensorFlow

Category: Tutorial

Tag: Database/SQL


Posted on 2018-06-15, by nokia241186.

Description




Hands-on Machine Learning with TensorFlow
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 412 MB
Genre: eLearning | Language: English



With this course you'll learn to take your data analysis and Python programming skills to the next level via Machine Learning using TensorFlow. This course focuses on key Machine Learning techniques and algorithms and you'll apply them practically using TensorFlow models in a hands-on approach. Each section covers a specific Machine Learning task and you will implement it on your system with TensorFlow models. For example, you will learn Logistic Regression and will then implement it with TensorFlow for your analysis tasks. You'll implement techniques such as Classification and Clustering effectively using TensorFlow. Similarly, this course takes you through different ML tasks/algorithms and teaches you to implement them in your applications/systems.

All the code and supporting files for this course are available on:
https://github.com/PacktPublishing/Hands-on-Machine-Learning-with-TensorFlow



DOWNLOAD
(Buy premium account for maximum speed and resuming ability)








Sponsored High Speed Downloads
9789 dl's @ 2240 KB/s
Download Now [Full Version]
9596 dl's @ 3195 KB/s
Download Link 1 - Fast Download
9513 dl's @ 3510 KB/s
Download Mirror - Direct Download



Search More...
Hands-on Machine Learning with TensorFlow

Search free ebooks in ebookee.com!


Related Archive Books

Archive Books related to "Hands-on Machine Learning with TensorFlow":



Links
Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.


Related Books


Comments

No comments for "Hands-on Machine Learning with TensorFlow".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top