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Artificial Intelligence with Python - Second Edition

You're reading from  Artificial Intelligence with Python - Second Edition

Product type Book
Published in Jan 2020
Publisher Packt
ISBN-13 9781839219535
Pages 618 pages
Edition 2nd Edition
Languages
Author (1):
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi

Table of Contents (26) Chapters

Preface 1. Introduction to Artificial Intelligence 2. Fundamental Use Cases for Artificial Intelligence 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

Summary

In this chapter, initially we laid a foundation of the core and basic concepts around big data. We then learned about many different technologies related to big data. We learned about the "grand daddy" of them all when it comes to big data technologies – Hadoop. We also learned about perhaps the currently most popular big data tool in the market today, which is Spark.

Finally, we learned about another technology that is commonly used in big data implementations, and that is NoSQL databases. NoSQL database engines power many of the biggest workloads in Fortune 500 companies as well as serving millions of pages in the most common websites that exist today.

For all the amazing and exciting applications that exist for machine learning today, it is our firm belief that we are only scratching the surface of what is possible. It is our sincere hope that you feel you have a better grasp of the concepts involved in doing machine learning, but more importantly...

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