Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x and TensorFlow 2

✍ Scribed by Alberto Artasanchez; Prateek Joshi

Publisher: Packt
Year: 2020
Tongue: English
Leaves: 588
Edition: 2
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x and TensorFlow 2. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications.

This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data.

Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.

Mon image

📜 SIMILAR VOLUMES

Artificial Intelligence with Python: You

📁 Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x and TensorFlow 2

✍ Alberto Artasanchez; Prateek Joshi 📂 Library 📅 2020 🏛 Packt Publishing 🌐 English

Artificial intelligence with Python: Bui

📁 Artificial intelligence with Python: Build real-world Artifical Intelligence applications with Python to intelligently interact with the world around you

✍ Joshi, Prateek 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

Python: Advanced Guide to Artificial Int

📁 Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python

✍ Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani 📂 Library 🏛 Packt Publishing 🌐 English

Get up to speed with machine learning techniques and create smart solutions for different problems<h4>Key Features</h4><ul><li>Master supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation </li><li

Python Beginners Guide to Artificial Int

📁 Python Beginners Guide to Artificial Intelligence

✍ Denis Rothman, Matthew Lamons, Rahul Kumar, Abhishek Nagaraja, Amir Ziai, Ankit 📂 Library 📅 2018 🏛 Packt Publishing 🌐 English

This Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. You will be introduced to various machine learning and deep learning algorithms from scratch, and show you how to apply them to practical indus

Python: Advanced Guide to Artificial Int

📁 Python: Advanced Guide to Artificial Intelligence

✍ Bonaccorso, Giuseppe;Fandango, Armando;Shanmugamani, Rajalingappaa 📂 Library 📅 2018;2019 🏛 Packt Publishing 🌐 English

Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems Key Features Master supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similar

Artificial Intelligence with Python

📁 Artificial Intelligence with Python

✍ Prateek Joshi 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book - Step into the amazing world of intelligent apps using this comprehensive guide - Enter the world of Artificial Intelligence, explore it, and create your own applica