Python: 2 books in 1: Python For Beginners + Python Programming . Master the machine language Data Science Analysis and Artificial intelligence. Exercises included! by Marc Matthes

Python: 2 books in 1: Python For Beginners + Python Programming . Master the machine language Data Science Analysis and Artificial intelligence. Exercises included! by Marc Matthes

Author:Marc Matthes [Matthes, Marc]
Language: eng
Format: azw3, pdf
Published: 2019-09-13T16:00:00+00:00


Python Programming

The Crash Course for Python – Learn the Secrets of Machine Learning, Data Science Analysis and Artificial intelligence. Introduction to Deep Learning for beginners

Table of Contents

Introduction

Chapter 1: What is Deep Learning and Artificial Intelligence

Chapter 2: A Look at Machine Learning

Chapter 3: An Introduction to Python

Chapter 4: The Scikit-Learn Library

Chapter 5: Creating a Neural Network with Scikit-Learn

Chapter 6: The TensorFlow Library

Chapter 7: K-Nearest Neighbors and K-Means Clustering

Chapter 8: Decision Trees and Random Forests in Machine Learning

Chapter 9: The Linear Classifier and What This Means

Chapter 10: Are Recurrent Neural Networks Different From Neural Networks

Chapter 11: What Else Can I Do with Python Programming and Machine Learning?

Conclusion



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