Book
Artificial Intelligence with Python
Completely updated and revised edition of the bestselling guide to artificial intelligence, updated to Python 3.8, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, machine learning data pipelines, chatbots, Big Data, and more.
Offered by
Difficulty Level
Intermediate
Completion Time
20h36m
Language
English
About Book
Who Is This Book For?
The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.
Artificial Intelligence with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 20h36m total length
Introduction to Artificial Intelligence
Fundamental Use Cases for Artificial Intelligence
Machine Learning Pipelines
Feature Selection and Feature Engineering
Classification and Regression Using Supervised Learning
Predictive Analytics with Ensemble Learning
Detecting Patterns with Unsupervised Learning
Building Recommender Systems
Logic Programming
Heuristic Search Techniques
Genetic Algorithms and Genetic Programming
Artificial Intelligence on the Cloud
Building Games with Artificial Intelligence
Building a Speech Recognizer
Natural Language Processing
Chatbots
Sequential Data and Time Series Analysis
Image Recognition
Neural Networks
Deep Learning with Convolutional Neural Networks
Recurrent Neural Networks and Other Deep Learning Models
Creating Intelligent Agents with Reinforcement Learning
Artificial Intelligence and Big Data
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