Hands-On Machine Learning with IBM Watson

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

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