Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you
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Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you’ll learn about various algorithms that can be used to build Artificial Intelligence applications.

During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that’s based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide!

What You Will Learn

  • Realize different classification and regression techniques
  • Understand the concept of clustering and how to use it to automatically segment data
  • See how to build an intelligent recommender system
  • Understand logic programming and how to use it
  • Build automatic speech recognition systems
  • Understand the basics of heuristic search and genetic programming
  • Develop games using Artificial Intelligence
  • Learn how reinforcement learning works
  • Discover how to build intelligent applications centered on images, text, and time series data
  • See how to use deep learning algorithms and build applications based on it

Prateek Joshi

Prateek Joshi is an artificial intelligence researcher, published author of five books, and TEDx speaker. He is the founder of Pluto AI, a venture-funded Silicon Valley startup building an analytics platform for smart water management powered by deep learning. His work in this field has led to patents, tech demos, and research papers at major IEEE conferences. He has been an invited speaker at technology and entrepreneurship conferences including TEDx, AT&T Foundry, Silicon Valley Deep Learning, and Open Silicon Valley. Prateek has also been featured as a guest author in prominent tech magazines.

His tech blog (www.prateekjoshi.com) has received more than 1.2 million page views from 200 over countries and has over 6,600+ followers. He frequently writes on topics such as artificial intelligence, Python programming, and abstract mathematics. He is an avid coder and has won many hackathons utilizing a wide variety of technologies. He graduated from University of Southern California with a master’s degree specializing in artificial intelligence. He has worked at companies such as Nvidia and Microsoft Research. You can learn more about him on his personal website at www.prateekj.com.

  1. INTRODUCTION TO ARTIFICIAL INTELLIGENCE
  2. CLASSIFICATION AND REGRESSION USING SUPERVISED LEARNING
  3. PREDICTIVE ANALYTICS WITH ENSEMBLE LEARNING
  4. DETECTING PATTERNS WITH UNSUPERVISED LEARNING
  5. BUILDING RECOMMENDER SYSTEMS
  6. LOGIC PROGRAMMING
  7. HEURISTIC SEARCH TECHNIQUES
  8. GENETIC ALGORITHMS
  9. BUILDING GAMES WITH ARTIFICIAL INTELLIGENCE
  10. NATURAL LANGUAGE PROCESSING
  11. PROBABILISTIC REASONING FOR SEQUENTIAL DATA
  12. BUILDING A SPEECH RECOGNIZER
  13. OBJECT DETECTION AND TRACKING
  14. ARTIFICIAL NEURAL NETWORKS
  15. REINFORCEMENT LEARNING
  16. DEEP LEARNING WITH CONVOLUTIONAL NEURAL NETWORKS