Hands-On Machine Learning with IBM Watson is a complete guide to help you become well versed with machine learning on the IBM Cloud using Python. Hands-On Machine Learning with IBM Watson starts with supervised and unsupervised machine learning concepts. (Limited-time offer)
Table of Contents
- Section 1: Introduction and Foundation
- Introduction to IBM Cloud
- Feature Extraction – A Bag of Tricks
- Supervised Machine Learning Models for Your Data
- Implementing Unsupervised Algorithms
- Section 2: Tools and Ingredients for Machine Learning in IBM Cloud
- Machine Learning Workouts on IBM Cloud
- Using Spark with IBM Watson Studio
- Deep Learning Using TensorFlow on the IBM Cloud
- Section 3: Real-Life Complete Case Studies
- Creating a Facial Expression Platform on IBM Cloud
- The Automated Classification of Lithofacies Formation Using ML
- Building a Cloud-Based Multibiometric Identity Authentication Platform
Download Free PDF / Read Online
Author(s): James D. Miller
Publisher: Packt Publishing
Published: March 2019
Format(s): Online
File size: –
Number of pages: 288
Download / View Link(s): This offer has ended.
Free as of 06/24/2023.
Publisher: Packt Publishing
Published: March 2019
Format(s): Online
File size: –
Number of pages: 288
Download / View Link(s): This offer has ended.
Free as of 06/24/2023.