By Prateek Joshi
Construct real-world synthetic Intelligence purposes with Python to intelligently have interaction with the realm round you approximately This e-book Step into the fantastic global of clever apps utilizing this finished advisor input the area of synthetic Intelligence, discover it, and create your individual functions paintings via uncomplicated but insightful examples that would get you up and working with synthetic Intelligence very quickly Who This booklet Is For This ebook is for Python builders who are looking to construct real-world synthetic Intelligence purposes. This e-book is pleasant to Python newbies, yet being accustomed to Python will be helpful to mess around with the code. it's going to even be beneficial for skilled Python programmers who're trying to use synthetic Intelligence innovations of their current expertise stacks. What you are going to examine observe various type and regression options comprehend the idea that of clustering and the way to exploit it to immediately phase information See how one can construct an clever recommender process comprehend common sense programming and the way to take advantage of it construct automated speech reputation platforms comprehend the fundamentals of heuristic seek and genetic programming improve video games utilizing synthetic Intelligence find out how reinforcement studying works notice the way to construct clever purposes founded on photos, textual content, and time sequence info See find out how to use deep studying algorithms and construct functions in keeping with it intimately man made Intelligence is turning into more and more suitable within the sleek global the place every little thing is pushed via know-how and knowledge. it really is used largely throughout many fields comparable to se's, snapshot reputation, robotics, finance, and so forth. we are going to discover quite a few real-world situations during this booklet and you’ll find out about quite a few algorithms that may be used to construct man made Intelligence functions. through the process this publication, you'll find out the way to make educated judgements approximately what
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Extra resources for Artificial Intelligence with Python
Chapter 6 , Logic Programming , covers the building blocks of logic programming. We will see various applications, including expression matching, parsing family trees, and solving puzzles. Chapter 7 , Heuristic Search Techniques , shows heuristic search techniques that are used to search the solution space. We will learn about various applications such as simulated annealing, region coloring, and maze solving. Chapter 8 , Genetic Algorithms , covers evolutionary algorithms and genetic programming.
In this book, we will explore various real-world scenarios. We will understand what algorithms to use in a given context and write functional code using this exciting book. We will start by talking about various realms of artificial intelligence. We’ll then move on to discuss more complex algorithms, such as Extremely Random Forests, Hidden Markov Models, Genetic Algorithms, Artificial Neural Networks, and Convolutional Neural Networks, and so on. This book is for Python programmers looking to use artificial intelligence algorithms to create real-world applications.
You will learn how to apply these algorithms to collaborative filtering and movie recommendations. Chapter 6 , Logic Programming , covers the building blocks of logic programming. We will see various applications, including expression matching, parsing family trees, and solving puzzles. Chapter 7 , Heuristic Search Techniques , shows heuristic search techniques that are used to search the solution space. We will learn about various applications such as simulated annealing, region coloring, and maze solving.
Artificial Intelligence with Python by Prateek Joshi