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Artificial Intelligence with Python

You're reading from   Artificial Intelligence with Python Your complete guide to building intelligent apps using Python 3.x

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781839219535
Length 618 pages
Edition 2nd Edition
Languages
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Authors (2):
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Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
Alberto Artasanchez Alberto Artasanchez
Author Profile Icon Alberto Artasanchez
Alberto Artasanchez
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Toc

Table of Contents (26) Chapters Close

Preface 1. Introduction to Artificial Intelligence 2. Fundamental Use Cases for Artificial Intelligence FREE CHAPTER 3. Machine Learning Pipelines 4. Feature Selection and Feature Engineering 5. Classification and Regression Using Supervised Learning 6. Predictive Analytics with Ensemble Learning 7. Detecting Patterns with Unsupervised Learning 8. Building Recommender Systems 9. Logic Programming 10. Heuristic Search Techniques 11. Genetic Algorithms and Genetic Programming 12. Artificial Intelligence on the Cloud 13. Building Games with Artificial Intelligence 14. Building a Speech Recognizer 15. Natural Language Processing 16. Chatbots 17. Sequential Data and Time Series Analysis 18. Image Recognition 19. Neural Networks 20. Deep Learning with Convolutional Neural Networks 21. Recurrent Neural Networks and Other Deep Learning Models 22. Creating Intelligent Agents with Reinforcement Learning 23. Artificial Intelligence and Big Data 24. Other Books You May Enjoy
25. Index

Why are companies migrating to the cloud?

It is hard turning anywhere these days without being hit with the term "the cloud." Our present-day society has hit a tipping point where businesses big and small are seeing that the benefits of moving their workloads to the cloud outweigh the costs and risks. As an example, the US Department of Defense, as of 2019, is in the process of selecting a cloud provider and awarding a 10-year $10 billion-dollar contract. Moving your systems to the cloud has many advantages, but one of the main reasons companies move to the cloud is its elastic capabilities.

When deploying a new project in an on-premises environment, we always start with capacity planning. Capacity planning is the exercise that enterprises go through to determine how much hardware they will need for a new system to run efficiently. Depending on the size of the project, the cost of this hardware can run into the millions. For that reason, it could take months...

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