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Hands-On Machine Learning with IBM Watson

You're reading from   Hands-On Machine Learning with IBM Watson Leverage IBM Watson to implement machine learning techniques and algorithms using Python

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789611854
Length 288 pages
Edition 1st Edition
Languages
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Introduction and Foundation FREE CHAPTER
2. Introduction to IBM Cloud 3. Feature Extraction - A Bag of Tricks 4. Supervised Machine Learning Models for Your Data 5. Implementing Unsupervised Algorithms 6. Section 2: Tools and Ingredients for Machine Learning in IBM Cloud
7. Machine Learning Workouts on IBM Cloud 8. Using Spark with IBM Watson Studio 9. Deep Learning Using TensorFlow on the IBM Cloud 10. Section 3: Real-Life Complete Case Studies
11. Creating a Facial Expression Platform on IBM Cloud 12. The Automated Classification of Lithofacies Formation Using ML 13. Building a Cloud-Based Multibiometric Identity Authentication Platform 14. Another Book You May Enjoy

Model selection

Machine learning has become more and more ordinary, and understanding which machine learning algorithm (or model type) to use, based upon your data and objectives, is important, and if you are relatively new to the process, it can be daunting.
Fitting a model to training data is one thing, but how do you know that the model (technique) or algorithm you select will generalize well to all your data and create the best prediction? Too much training or overfitting doesn't solve this problem; in fact, in this situation, it is typical for the model to perform poorly with totally new data.

Once again, the IBM Cloud platform provides robust and practical tools to assist you with this process.

The cloud offers a machine learning service (IBM Watson Machine Learning). The service offers the ability to manage your developed machine learning models using a continuous...

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