You're reading from Artificial Intelligence By Example Acquire advanced AI, machine learning, and deep learning design skills

Product type Paperback

Published in Feb 2020

Publisher Packt

ISBN-13 9781839211539

Length 578 pages

Edition 2nd Edition

Languages

Python

Tools

TensorFlow

Concepts

Artificial Intelligence

Author (1):

Denis Rothman

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Table of Contents (23) Chapters

Preface

1. Getting Started with Next-Generation Artificial Intelligence through Reinforcement Learning

2. Building a Reward Matrix – Designing Your Datasets FREE CHAPTER

3. Machine Intelligence – Evaluation Functions and Numerical Convergence

4. Optimizing Your Solutions with K-Means Clustering

5. How to Use Decision Trees to Enhance K-Means Clustering

6. Innovating AI with Google Translate

7. Optimizing Blockchains with Naive Bayes

8. Solving the XOR Problem with a Feedforward Neural Network

9. Abstract Image Classification with Convolutional Neural Networks (CNNs)

10. Conceptual Representation Learning

11. Combining Reinforcement Learning and Deep Learning

12. AI and the Internet of Things (IoT)

13. Visualizing Networks with TensorFlow 2.x and TensorBoard

14. Preparing the Input of Chatbots with Restricted Boltzmann Machines (RBMs) and Principal Component Analysis (PCA)

15. Setting Up a Cognitive NLP UI/CUI Chatbot

16. Improving the Emotional Intelligence Deficiencies of Chatbots

17. Genetic Algorithms in Hybrid Neural Networks

18. Neuromorphic Computing

19. Quantum Computing

20. Answers to the Questions

21. Other Books You May Enjoy

22. Index

Summary

The reliable sequence of blocks in a blockchain has opened the door to endless machine learning algorithms. Naive Bayes appears to be a practical way to start optimizing the blocks of a blockchain. It calculates correlations and makes predictions by learning the independent features of a dataset, irrespective of whether the relationship is conditional or not.

This freestyle prediction approach fits the open-minded spirit of blockchains that are being propagated by the millions today with limitless resources.

IBM Hyperledger takes blockchain's "Frontierland" development to another level with the Linux Foundation project. IBM also offers a cloud platform and services.

IBM, Microsoft, Amazon, and Google provide cloud platforms with an arsenal of disruptive machine learning algorithms. This provides a smooth approach to your market or department, along with the ability to set up a blockchain prototype online in a short space of time. With this...