Machine Learning Using Tensorflow Cookbook: A Comprehensive Guide for Practitioners

Machine learning is rapidly changing the world, and Tensorflow is one of the most popular open-source platforms for building and deploying machine learning models. This comprehensive cookbook provides practical recipes and code snippets to guide you through every step of the machine learning process, from data preparation to model deployment. Whether you're a beginner or an experienced practitioner, this cookbook will empower you to build and deploy powerful machine learning models using Tensorflow.

Machine Learning Using TensorFlow Cookbook: Create powerful machine learning algorithms with TensorFlow

by Alexia Audevart

4.6 out of 5

Language	:	English
File size	:	5672 KB
Text-to-Speech	:	Enabled
Enhanced typesetting	:	Enabled
Print length	:	416 pages
Screen Reader	:	Supported
Hardcover	:	16 pages
Reading age	:	4 - 8 years
Grade level	:	Preschool - 2
Item Weight	:	0.096 ounces
Dimensions	:	6 x 0.06 x 7 inches

FREE

Table of Contents

• Chapter 1: to Machine Learning and Tensorflow
• Chapter 2: Data Preparation and Preprocessing
• Chapter 3: Building and Training Machine Learning Models
• Chapter 4: Model Evaluation and Tuning
• Chapter 5: Model Deployment and Serving

Chapter 1: to Machine Learning and Tensorflow

This chapter provides a brief overview of machine learning and Tensorflow. It covers the following topics:

• What is machine learning?
• Why use Tensorflow for machine learning?
• Installing and setting up Tensorflow

Chapter 2: Data Preparation and Preprocessing

This chapter covers the essential steps of data preparation and preprocessing for machine learning. It covers the following topics:

• Data collection and exploration
• Data cleaning and transformation
• Feature engineering
• Data normalization and standardization

Chapter 3: Building and Training Machine Learning Models

This chapter provides a step-by-step guide to building and training machine learning models using Tensorflow. It covers the following topics:

• Choosing the right machine learning algorithm
• Building a machine learning model in Tensorflow
• Training a machine learning model
• Evaluating a machine learning model

Chapter 4: Model Evaluation and Tuning

This chapter covers the importance of model evaluation and tuning. It covers the following topics:

• Why model evaluation is important
• Common model evaluation metrics
• Model tuning techniques

Chapter 5: Model Deployment and Serving

This chapter provides a guide to deploying and serving machine learning models. It covers the following topics:

• Choosing a deployment platform
• Deploying a machine learning model
• Serving a machine learning model

This cookbook provides a comprehensive guide to machine learning using Tensorflow. It covers all the essential steps of the machine learning process, from data preparation to model deployment. Whether you're a beginner or an experienced practitioner, this cookbook will empower you to build and deploy powerful machine learning models using Tensorflow.

To learn more about machine learning using Tensorflow, I recommend the following resources:

• Tensorflow website
• Tensorflow in Practice Coursera specialization
• Udacity Machine Learning Nanodegree

Machine Learning Using TensorFlow Cookbook: Create powerful machine learning algorithms with TensorFlow

by Alexia Audevart

4.6 out of 5

Language	:	English
File size	:	5672 KB
Text-to-Speech	:	Enabled
Enhanced typesetting	:	Enabled
Print length	:	416 pages
Screen Reader	:	Supported
Hardcover	:	16 pages
Reading age	:	4 - 8 years
Grade level	:	Preschool - 2
Item Weight	:	0.096 ounces
Dimensions	:	6 x 0.06 x 7 inches

FREE