Packt+ | Advance your knowledge in tech

0

All Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Hands-On Machine Learning on Google Cloud Platform

You're reading from Hands-On Machine Learning on Google Cloud Platform Implementing smart and efficient analytics using Cloud ML Engine

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788393485

Length 500 pages

Edition 1st Edition

Tools

Google Cloud Platform

Concepts

Machine Learning

Authors (3):

Perrier

Giuseppe Ciaburro

V Kishore Ayyadevara

View More author details

Table of Contents (22) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Introducing the Google Cloud Platform FREE CHAPTER

2. Google Compute Engine

3. Google Cloud Storage

4. Querying Your Data with BigQuery

5. Transforming Your Data

6. Essential Machine Learning

7. Google Machine Learning APIs

8. Creating ML Applications with Firebase

9. Neural Networks with TensorFlow and Keras

10. Evaluating Results with TensorBoard

11. Optimizing the Model through Hyperparameter Tuning

12. Preventing Overfitting with Regularization

13. Beyond Feedforward Networks – CNN and RNN

14. Time Series with LSTMs

15. Reinforcement Learning

16. Generative Neural Networks

17. Chatbots

Index

Chapter 6. Essential Machine Learning

So far, in previous chapters, we went through the various ETL processes available in GCP. In this chapter, we will start our journey of machine learning and deep learning through the following topics:

Applications of machine learning
Supervised and unsupervised machine learning
Overview of major machine learning techniques
Data splitting
Measuring the accuracy of a model
The difference between machine learning and deep learning
Applications of deep learning

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $15.99/month. Cancel anytime

Authors (3)

Perrier

Perrier

Alexis Perrier is a data science consultant with experience in signal processing and stochastic algorithms. He holds a master's in mathematics from Universit Pierre et Marie Curie Paris VI and a PhD in signal processing from Tlcom ParisTech. He is actively involved in the DC data science community. He is also an avid book lover and proud owner of a real chalk blackboard, where he regularly shares his fascination of mathematical equations with his kids.

See other products by Perrier

Giuseppe Ciaburro

Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).

See other products by Giuseppe Ciaburro

V Kishore Ayyadevara

V Kishore Ayyadevara

Kishore Ayyadevara is an entrepreneur and a hands-on leader working at the intersection of technology, data, and AI to identify and solve business problems. With over a decade of experience in leadership roles, Kishore has established and grown successful applied data science teams at American Express and Amazon, as well as a top health insurance company. In his current role, he is building a start-up focused on making AI more accessible to healthcare organizations. Outside of work, Kishore has shared his knowledge through his five books on ML/AI, is an inventor with 12 patents, and has been a speaker at multiple AI conferences.

See other products by V Kishore Ayyadevara

Other recommended products

Related to this chapter

Keras 2.x Projects

Keras 2.x Projects

Keras is a deep learning library that enables the fast, efficient training of deep learning models. The book begins with setting up the environment, training various types of models in the domain of deep learning and reinforcement learning. The projects are exciting and are real-world market demanding projects which take you from simple to complex level.

Dec 2018 13h 8m

Keras Reinforcement Learning Projects

Keras Reinforcement Learning Projects

Keras Reinforcement Learning Projects book teaches you essential concept, techniques and, models of reinforcement learning using best real-world demonstrations. You will explore popular algorithms such as Markov decision process, Monte Carlo, Q-learning making you equipped with complex statistics in various projects with the help of Keras

Sep 2018 9h 36m

Google Cloud Platform Cookbook

Google Cloud Platform Cookbook

Google Cloud Platform is a cloud computing service that offers hosting on the same supporting technology internally used by Google for its end users. This book follows a recipe-based approach, giving you hands-on experience to make the most out of Google Cloud services.

Apr 2018 9h 20m

Regression Analysis with R

Regression Analysis with R

Regression analysis is a statistical process which enables prediction of relationships between variables. This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. Each chapter starts with explaining the theoretical concepts and once the reader gets comfortable with the theory, we move to the practical examples to support the understanding. By the end of this book you will know all the concepts and pain-points related to regression analysis, and you will be able to implement your learning in your projects.

Jan 2018 14h 4m

Learning Google BigQuery

Learning Google BigQuery

Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data. You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third party tools for reporting and visualization purposes such as R and Tableau.

Dec 2017 8h 48m

MATLAB for Machine Learning

MATLAB for Machine Learning

MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will build a foundation for machine learning using MATLAB for beginners. It will also help you learn regression, clustering, classification, predictive analytics, artificial neural networks, and more with MATLAB.

Aug 2017 12h 44m

Hands-On Reinforcement Learning with R

Hands-On Reinforcement Learning with R

Reinforcement Learning is an exciting part of machine learning. It has uses in technology from autonomous cars to game playing, and creates algorithms that can adapt to environmental changes. This book helps to understand how to implement RL with R, and explores interesting practical examples, such as using tabular Q-learning to control robots.

Dec 2019 12h 4m

Google Cloud Platform for Architects

Google Cloud Platform for Architects

The Google Cloud Platform is fast emerging as a leading public cloud provider. The GCP, as it is popularly known, is backed by Google's awe-inspiring engineering expertise and infrastructure and is able to draw upon the goodwill and respect that Google has come to enjoy. The GCP is one of a handful of public cloud providers to offer the full range of cloud computing services, ranging from IaaS (Infrastructure-as-a-Service) to PaaS (Platform-as-a-Service). There is another reason the GCP is fast gaining popularity; genre-defining technologies such as TensorFlow and Kubernetes originated at Google before being open-sourced, and the GCP is a natural choice of cloud on which to run them. If you are a cloud professional today, time spent on mastering the GCP is likely to be an excellent investment.

Jun 2018 12h 24m

Python Machine Learning Cookbook

Python Machine Learning Cookbook

With this book, you will learn how to perform various machine learning tasks in different environments. You'll use a wide variety of machine learning algorithms using Python to solve real-world problems. By the end of the book, you will learn to implement most used machine learning algorithms using complex datasets and optimized techniques.

Mar 2019 21h 24m

Neural Networks with Keras Cookbook

Neural Networks with Keras Cookbook

This book presents solutions to the majority of the challenges you will face while training neural networks to solve deep learning problems. It covers the trending deep learning architectures used in industry and tackles a variety of use cases in computer vision, text processing, audio analysis, recommender systems, and game bots

Feb 2019 18h 56m

Hands-On Artificial Intelligence on Google Cloud Platform

Hands-On Artificial Intelligence on Google Cloud Platform

This book focuses on the use of powerful AI tools offered by Google Cloud Platform to develop and design intelligent applications on the cloud. You will start with topics that set the foundation for using GCP with various powerful libraries, and then move on to building end to end AI applications using them.

Mar 2020 11h 40m

Google Cloud Platform Administration

Google Cloud Platform Administration

With Google Cloud Platform, you can build, test and deploy applications on Google's highly reliable and scalable infrastructure. This book will help you explore a list of different developer tools available to manage and interact with the GCP platform.

Sep 2018 7h 40m

Personalised recommendations for you

Based on your interests and search pattern

Mathematics of Machine Learning

Mathematics of Machine Learning

Deepen your theoretical knowledge and enhance your ability to solve complex machine learning problems with structured guidance. Gain the confidence to engage with advanced ML literature and tailor algorithms to meet your project requirements.

May 2025 24h 20m

Generative AI with Python and PyTorch

Generative AI with Python and PyTorch

Learn how to create images and text using VAEs, GANs, LSTMs, and transformers. Implement applications in natural language processing and computer vision through practical tutorials.

Mar 2025 15h 0m

Practical Generative AI with ChatGPT

Practical Generative AI with ChatGPT

This book helps you unlock ChatGPT's potential to make your working life better. From prompt engineering to creating custom GPTs, you'll enhance your productivity, creativity, and efficiency with practical insights and advanced techniques.

Apr 2025 12h 52m

Generative AI with LangChain

Generative AI with LangChain

Gain a solid foundation in LangChain, agentic AI, and LangGraph, and learn to build production-ready systems with multi-agent architectures, advanced RAG pipelines, Tree of Thought reasoning, agent handoffs, and fine-grained error handling.

May 2025 15h 52m

Architecting Power BI Solutions in Microsoft Fabric

Architecting Power BI Solutions in Microsoft Fabric

Power BI provides several options to solve common data problems, and designing the correct solution for each scenario can be a daunting task. This book makes it easier by guiding you through designing optimal solutions using Power BI.

Apr 2025 14h 16m

Microsoft Identity and Access Administrator SC-300 Exam Guide

Microsoft Identity and Access Administrator SC-300 Exam Guide

This comprehensive guide covers key topics such as Microsoft Entra ID implementation, authentication and access management, external user management, and hybrid identity solutions, providing practical insights and techniques for SC-300 exam success.

Mar 2025 19h 48m

LLM Design Patterns

LLM Design Patterns

This book helps you gain practical skills to develop and deploy LLMs. You'll learn data prep, training, pruning, quantization, and evaluation, as well as explore RAG, advanced prompting, and optimization to build robust, scalable language models.

May 2025 17h 48m

Tableau Cookbook for Experienced Professionals

Tableau Cookbook for Experienced Professionals

Advance your Tableau knowledge beyond the basics, streamline dashboard performance, tackle advanced geospatial challenges, and unlock API potential while fortifying your corporate data infrastructure with proven best practices.

Apr 2025 12h 24m

Time Series Analysis with Spark

Time Series Analysis with Spark

This book offers a complete guide to time series analysis with Apache Spark and Databricks, covering essential concepts and advanced techniques including Generative AI to equip readers with skills for real-world challenges across industries.

Mar 2025 9h 56m

Hands-On Artificial Intelligence for IoT

Hands-On Artificial Intelligence for IoT

Transform IoT systems with the power of artificial intelligence using this hands-on guide. Dive into practical techniques and expert insights to innovate and optimize your IoT devices, making them smarter and more efficient.

May 2025 15h 44m