What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Using Machine Learning to Detect Exoplanets in Outer Space

In this chapter, we shall learn how to detect exoplanets in outer space using ensemble methods that are based on decision trees.

Decision trees are a family of non-parametric supervised learning methods. In a decision tree algorithm, the data is divided into two partitions by using a simple rule. The rule is applied again and again to further partition the data, thus forming a tree of decisions.

Ensemble methods combine the learning from multiple learning algorithms to improve predictions and reduce errors. These ensembles are differentiated on the basis of what kind of learners they use and how they structure those learns in the ensemble.

The two most popular ensemble methods based on decision trees are known as gradient boosted trees and random forests.

The following topics will be covered in this chapter:

What...

Key benefits

Use machine learning and deep learning principles to build real-world projects

Get to grips with TensorFlow's impressive range of module offerings

Implement projects on GANs, reinforcement learning, and capsule network

Description

TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits—simplicity, efficiency, and flexibility—of using TensorFlow in various real-world projects. With the help of this book, you’ll not only learn how to build advanced projects using different datasets but also be able to tackle common challenges using a range of libraries from the TensorFlow ecosystem. To start with, you’ll get to grips with using TensorFlow for machine learning projects; you’ll explore a wide range of projects using TensorForest and TensorBoard for detecting exoplanets, TensorFlow.js for sentiment analysis, and TensorFlow Lite for digit classification. As you make your way through the book, you’ll build projects in various real-world domains, incorporating natural language processing (NLP), the Gaussian process, autoencoders, recommender systems, and Bayesian neural networks, along with trending areas such as Generative Adversarial Networks (GANs), capsule networks, and reinforcement learning. You’ll learn how to use the TensorFlow on Spark API and GPU-accelerated computing with TensorFlow to detect objects, followed by how to train and develop a recurrent neural network (RNN) model to generate book scripts. By the end of this book, you’ll have gained the required expertise to build full-fledged machine learning projects at work.

Who is this book for?

TensorFlow Machine Learning Projects is for you if you are a data analyst, data scientist, machine learning professional, or deep learning enthusiast with basic knowledge of TensorFlow. This book is also for you if you want to build end-to-end projects in the machine learning domain using supervised, unsupervised, and reinforcement learning techniques

What you will learn

Understand the TensorFlow ecosystem using various datasets and techniques

Create recommendation systems for quality product recommendations

Build projects using CNNs, NLP, and Bayesian neural networks

Play Pac-Man using deep reinforcement learning

Deploy scalable TensorFlow-based machine learning systems

Generate your own book script using RNNs

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

Artificial Intelligence and Machine Learning Fundamentals

€24.99

€29.99

€29.99

Total € 84.97

Filter reviews by

All

Amazon verified reviews

P11snehap Dec 27, 2018

A must read for anyone looking to get their hands dirty with Tensorflow. This book is practical, succinct and easy to understand. I definitely recommend this to all the M/L enthusiasts who are keen to jump into application oriented learning!

Amazon Verified review

Amazon Customer Dec 28, 2018

Concepts are explained in a very clear and intuitive manner. Book is easy to follow and very hands on. I highly recommend this book to anyone looking to use TensorFlow for ML applications.

Ajay Pathak Feb 08, 2019

There are lots of talk about Tensorflow and I was looking for a book which can explain the concepts and framework in a simplified way. As an AI/ML learner, I found this book is very helpful and able to adapt the Tensorflow for my current project in a faster way. This is an excellent book for the one who wants to learn Tensorflow even without any background.

Divya Jan 23, 2019

Loved the projects oriented approach of this book. Google tutorials only teach about Tensorflow functions but this book really helped me to build practical projects using Tensorflow without steep learning curve. Most of the chapters follow step by step approach on building the project.Another thing I liked is that this book doesn't get into all the mathematical details which is great if your motive is to quickly get going with using Tensorflow in applied settings.

AnirbaN Jul 27, 2019

Excellant

TensorFlow Machine Learning Projects: Build 13 real-world projects with advanced numerical computations using the Python ecosystem

What do you get with Print?

TensorFlow Machine Learning Projects

Using Machine Learning to Detect Exoplanets in Outer Space

What is a decision tree?

Why do we need ensembles?

Decision tree-based ensemble methods

Random forests

Decision tree-based ensembles in TensorFlow

TensorForest Estimator

Detecting exoplanets in outer space

Building a TFBT model for exoplanet detection

Summary

What is a decision tree?

Why do we need ensembles?

Page 1 of 10

Key benefits

Description

Who is this book for?

What you will learn

Product Details

What do you get with Print?

Product Details

Frequently bought together

Table of Contents

Recommendations for you

Customer reviews

Filter reviews by

People who bought this also bought

About the authors

FAQs

TensorFlow Machine Learning Projects: Build 13 real-world projects with advanced numerical computations using the Python ecosystem

What do you get with Print?

Contact Details

Shipping Address

Billing Address

Key benefits

Description

Who is this book for?

What you will learn

Product Details

What do you get with Print?

Contact Details

Shipping Address

Billing Address

Product Details

Packt Subscriptions

Frequently bought together

Table of Contents

Recommendations for you

Customer reviews

Filter reviews by

People who bought this also bought

About the authors

FAQs