Artificial Intelligence with Python

A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

Prateek Joshi 지음

Packt(GCO Science) 2017년 01월 27일 출간

작품소개

책소개

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!

목차

▶TABLE of CONTENTS
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

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출판사 서평

▶Editorial Review
Artificial intelligence is becoming increasingly relevant in the modern world where everything is driven by data and automation. It is used extensively across many fields suchas image recognition, robotics, search engines, and self-driving cars. 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. This book is friendly to Python beginners, but familiarity with Python programming would certainly be helpful so you can play around with the code. It is also useful to experienced Python programmers who are looking to implement artificial intelligence techniques.
You will learn how to make informed decisions about the type of algorithms you need to use and how to implement those algorithms to get the best possible results. If you want to build versatile applications that can make sense of images, text, speech, or some other form of data, this book on artificial intelligence will definitely come to your rescue!

작가정보

저자(글) Prateek Joshi

？ Prateek JoshiPrateek 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 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.