Hands-on Machine Learning with TensorFlow [Video]

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Hands-on Machine Learning with TensorFlow [Video]

Kaiser Hamid Rabbi

Wednesday, May 30, 2018

Transcend your machine learning experience by leveraging it with the cutting edge library - TensorFlow

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Video Details

ISBN 13 9781789136999

Course Length 2 hours 59 minutes

Getting Started with TensorFlow

The Course Overview

Installing TensorFlow Environment

TensorFlow Basic Syntax

TensorFlow Graphs

Variables and Placeholders

Apply Regression Techniques in TensorFlow

What is Machine Learning?

Regression from Scratch for 1 Million Data Points – Part 1

Regression from Scratch for 1 Million Data Points – Part 2

Housing Price Prediction Model with Estimator API

Implementing Classification Techniques Using TensorFlow

Performing Classification Techniques on Pima Indians Diabetes Dataset – Part 1

Performing Classification Techniques on Pima Indians Diabetes Dataset – Part 2

Performing Classification Techniques on Pima Indians Diabetes Dataset – Part 3

Predicting Class of Income on Census Data – Part 1

Predicting Class of Income on Census Data – Part 2

Predicting Class of Income on Census Data – Part 3

Implement Clustering Techniques in TensorFlow

Introduction to K-Means Clustering

Apply K-Means Clustering on the Blob Dataset Part - 1

Apply K-Means Clustering on the Blob Dataset Part - 2

Create Your Own Artificial Neural Network

What is Deep Learning?

Part 1 - Data Preprocessing

Part 2 - Let's Create the ANN

Part 3 - Making Predictions and Evaluating Models

Build Convolutional Neural Network Using Image Dataset

What Is a Convolutional Neural Network?

Part 1 - Import MNIST Data from TensorFlow

Part 2 - Create Placeholders and Layers

Part 3 - Optimize and Run Sessions

Video Description

With this course you'll learn to take your data analysis and Python programming skills to the next level via Machine Learning using TensorFlow. This course focuses on key Machine Learning techniques and algorithms and you'll apply them practically using TensorFlow models in a hands-on approach. Each section covers a specific Machine Learning task and you will implement it on your system with TensorFlow models. For example, you will learn Logistic Regression and will then implement it with TensorFlow for your analysis tasks. You'll implement techniques such as Classification and Clustering effectively using TensorFlow. Similarly, this course takes you through different ML tasks/algorithms and teaches you to implement them in your applications/systems.

All the code and supporting files for this course are available on:
https://github.com/PacktPublishing/Hands-on-Machine-Learning-with-TensorFlow

All the code and supporting files for this course are available on:
https://github.com/PacktPublishing/Hands-on-Machine-Learning-with-Tensorflow

Style and Approach

This hands-on course covers important aspects of Machine Learning with TensorFlow using practical examples. Throughout the course, you'll learn how different algorithms work and follow step-by-step instructions to implement them using different example projects.

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What You Will Learn

Leverage the power of TensorFlow and machine learning
Use TensorFlow for regression machine learning problems
Solve classification machine learning tasks with TensorFlow
Solve clustering machine learning problems with TensorFlow
Use TensorFlow to build an artificial neural network from scratch
Build a convolutional neural network for an image dataset in TensorFlow

Authors

Kaiser Hamid Rabbi

Kaiser Hamid Rabbi is a Data Scientist who is super-passionate about Artificial Intelligence, Machine Learning, and data science. Over the last four years, he has entirely devoted himself to learning more about big data science technologies such as Python, Machine Learning, Deep Learning, Artificial Intelligence, data mining, data analysis, recommender systems, and so on. Kaiser also has a huge interest in Lygometry (things we know we do not know!) and always tries to understand Domain Knowledge from the projects he works on as far as possible.

LinkedIn - https://www.linkedin.com/in/kaiserhamidrabbi/

Getting Started with TensorFlow

The Course Overview

Installing TensorFlow Environment

TensorFlow Basic Syntax

TensorFlow Graphs

Variables and Placeholders

Apply Regression Techniques in TensorFlow

What is Machine Learning?

Regression from Scratch for 1 Million Data Points – Part 1

Regression from Scratch for 1 Million Data Points – Part 2

Housing Price Prediction Model with Estimator API

Implementing Classification Techniques Using TensorFlow