Hands-On Machine Learning with IBM Watson
A practical guide on Machine learning with IBM cloud to act as a solid yet concise reference for the readers. You will learn about the role of data representation and feature extraction in machine learning. This book will help you learn how to use the IBM Cloud and Watson Machine learning service to develop real-world machine learning solutions.
Offered by
Difficulty Level
Intermediate
Completion Time
9h36m
Language
English
About Book
Who Is This Book For?
This beginner-level book is for data scientists and machine learning engineers who want to get started with IBM Cloud and its machine learning services using practical examples. Basic knowledge of Python and some understanding of machine learning will be useful.
Hands-On Machine Learning with IBM Watson
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h36m total length
Introduction to IBM Cloud
Feature Extraction – A Bag of Tricks
Supervised Machine Learning Models for Your Data
Implementing Unsupervised Algorithms
Machine Learning Workouts on IBM Cloud
Using SPARK with IBM Watson Studio
Deep Learning Using TensorFlow on the IBM Cloud
Creating a Facial Expression Platform on the IBM Cloud
Automated Classification of Lithofacies Formation Using Machine Learning
Building a Cloud-Based Multi-Biometric Identity Authentication Platform
Related Resources
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