Your Complete Guide to Building Intelligent Apps Using Python Second Edition
4.3 out of 5
Language | : | English |
File size | : | 19800 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 620 pages |
Mass Market Paperback | : | 432 pages |
Lexile measure | : | 1210L |
Item Weight | : | 1.19 pounds |
Dimensions | : | 6.14 x 0.63 x 9.21 inches |
Hardcover | : | 258 pages |
In today's world, artificial intelligence (AI) is becoming increasingly important. AI-powered apps are used in a wide variety of industries, from healthcare to finance to manufacturing. And as AI continues to develop, it's only going to become more prevalent in our lives.
If you're interested in building AI-powered apps, Python is a great language to use. Python is a powerful and versatile language that is well-suited for a wide variety of tasks, including data analysis, machine learning, and computer vision. And with the release of Python 3.6, Python now includes a number of new features that make it even easier to build AI-powered apps.
This book will teach you everything you need to know about building intelligent apps using Python. You'll learn how to use Python's machine learning libraries to build predictive models, how to use natural language processing to understand text data, and how to use computer vision to analyze images. With this knowledge, you'll be able to build apps that can automate tasks, make decisions, and even learn from experience.
What's new in the second edition?
The second edition of this book has been extensively updated to reflect the latest developments in AI and Python. Here are some of the key changes:
* New chapters on deep learning and reinforcement learning * Updated and expanded coverage of machine learning, natural language processing, and computer vision * New examples and case studies * A new appendix on deploying AI models
Who is this book for?
This book is for anyone who wants to learn how to build intelligent apps using Python. Whether you're a beginner or an experienced programmer, this book will teach you everything you need to know.
What you'll learn
By the end of this book, you'll be able to:
* Build predictive models using Python's machine learning libraries * Use natural language processing to understand text data * Use computer vision to analyze images * Deploy AI models to the cloud * Build AI-powered apps that can automate tasks, make decisions, and learn from experience
Table of contents
to AI 2. Machine learning with Python 3. Natural language processing with Python 4. Computer vision with Python 5. Deploying AI models 6. Building AI-powered apps
AI is a rapidly growing field, and it's only going to become more important in the years to come. This book will give you the skills you need to build intelligent apps that can help you solve real-world problems.
Appendix
A. Deploying AI models to the cloud B. Resources for learning more about AI
4.3 out of 5
Language | : | English |
File size | : | 19800 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 620 pages |
Mass Market Paperback | : | 432 pages |
Lexile measure | : | 1210L |
Item Weight | : | 1.19 pounds |
Dimensions | : | 6.14 x 0.63 x 9.21 inches |
Hardcover | : | 258 pages |
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4.3 out of 5
Language | : | English |
File size | : | 19800 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 620 pages |
Mass Market Paperback | : | 432 pages |
Lexile measure | : | 1210L |
Item Weight | : | 1.19 pounds |
Dimensions | : | 6.14 x 0.63 x 9.21 inches |
Hardcover | : | 258 pages |