Search icon Close icon
Search icon
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Hands-On Machine Learning with Azure

You're reading from  Hands-On Machine Learning with Azure

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781789131956
Pages 340 pages
Edition 1st Edition
Languages
Concepts
Authors (5):
Thomas K Abraham Thomas K Abraham
Profile icon Thomas K Abraham
LinkedIn
Dr. Thomas K Abraham is a cloud solution architect (advanced analytics and AI) at Microsoft in the South Central Region of the USA. Since January 2016, he's been assisting organizations in leveraging technologies such as SQL, Spark, Hadoop, NoSQL, BI, and AI on Azure. Prior to that, Thomas spent 10 years in Ecolab, where he designed algorithms for IoT devices and built solutions for anomaly detection. In the oil and gas division, he designed and built customer-facing analytics solutions for multiple super majors. His work was focused on preventing equipment failure by modeling corrosion, scale, and other stresses. He has a PhD in Chemical Engineering from The Ohio State University in 2005. His thesis focused on the use of nonlinear optimization with reaction models.
See other products by Thomas K Abraham
Parashar Shah Parashar Shah
Profile icon Parashar Shah
LinkedIn
Parashar Shah is a Senior Program Manager in the Azure Machine Learning platform team.Currently, he works on making Azure Machine Learning services the best place to do e2e machine learning for building custom AI solutions using big data. Previously at Microsoft, he has been a Data Scientist and a Data Solutions Architect in various Cloud and AI teams. Prior to joining Microsoft, Parashar worked at Nokia Networks as a Solutions Architect & Product Manager building customer experience analytics solutions for global telcos. He also co-founded a carpooling startup, which helped employees carpool safely. He has 10+ years of global work experience. He is an alum of Indian Institute of Management, Bangalore and Gujarat University.
See other products by Parashar Shah
Jen Stirrup Jen Stirrup
Profile icon Jen Stirrup
LinkedIn
Jen Stirrup is a data strategist and technologist, a Microsoft Most Valuable Professional (MVP), and a Microsoft Regional Director, a tech community advocate, a public speaker and blogger, a published author, and a keynote speaker. Jen is the founder of a boutique consultancy based in the UK, Data Relish, which focuses on delivering successful business intelligence and artificial intelligence solutions that add real value to customers worldwide. She has featured on the BBC as a guest expert on topics relating to data.
See other products by Jen Stirrup
Lauri Lehman Lauri Lehman
Profile icon Lauri Lehman
LinkedIn
Lauri Lehman is a data scientist who is focused on machine learning tools in Azure. He helps customers to design and implement machine learning solutions in the cloud. He works for the software consultancy company, Zure, based in Helsinki, Finland. For the past 4 years, Lauri has specialized in data and machine learning in Azure. He has worked on many machine learning projects, developing solutions for demand estimation, text analytics, and image recognition, for example. Lauri has previously worked as an academic researcher in theoretical physics, after obtaining his PhD on topological quantum walks. He still likes to follow the progress of modern physics and is eagerly a waiting the era of quantum machine learning!
See other products by Lauri Lehman
Anindita Basak Anindita Basak
Profile icon Anindita Basak
LinkedIn
Anindita Basak is a cloud architect with almost 15+ years of experience, the last 12 years of which she has been extensively working on Azure. She has delivered various real-time implementations on Azure data analytics, and cloud-native and real-time event-driven architecture for Fortune 500 enterprises, ranging from banking, financial services, and insurance (BFSI)to retail sectors. She is also a cloud and DataOps trainer and consultant, and author of cloud AI and DevOps books.
See other products by Anindita Basak
View More author details

Table of Contents (14) Chapters

Preface 1. AI Cloud Foundations 2. Data Science Process 3. Cognitive Services 4. Bot Framework 5. Azure Machine Learning Studio 6. Scalable Computing for Data Science 7. Machine Learning Server 8. HDInsight 9. Machine Learning with Spark 10. Building Deep Learning Solutions 11. Integration with Other Azure Services 12. End-to-End Machine Learning 13. Other Books You May Enjoy

Preface

This book will teach you how advanced machine learning can be performed in the cloud in a very cheap way. You will learn more about Azure Machine Learning processes as an enterprise-ready methodology. This book lets you explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms that can be deployed as web services. It will help you to discover the different benefits of leveraging the cloud for machine learning and AI, deploy virtual machines in AI development scenarios, and how to apply R, Python, SQL Server, and Spark in Azure.

By the end of this book, you will be able to implement machine learning and AI concepts in your model to solve real-world problems.

lock icon The rest of the chapter is locked
Chapter 1 of 14
Next Chapter arrow right
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.
Sign up now
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 (5)

Left arrow icon
Profile icon Thomas K Abraham
LinkedIn
Dr. Thomas K Abraham is a cloud solution architect (advanced analytics and AI) at Microsoft in the South Central Region of the USA. Since January 2016, he's been assisting organizations in leveraging technologies such as SQL, Spark, Hadoop, NoSQL, BI, and AI on Azure. Prior to that, Thomas spent 10 years in Ecolab, where he designed algorithms for IoT devices and built solutions for anomaly detection. In the oil and gas division, he designed and built customer-facing analytics solutions for multiple super majors. His work was focused on preventing equipment failure by modeling corrosion, scale, and other stresses. He has a PhD in Chemical Engineering from The Ohio State University in 2005. His thesis focused on the use of nonlinear optimization with reaction models.
Read more
See other products by Thomas K Abraham
Profile icon Parashar Shah
LinkedIn
Parashar Shah is a Senior Program Manager in the Azure Machine Learning platform team.Currently, he works on making Azure Machine Learning services the best place to do e2e machine learning for building custom AI solutions using big data. Previously at Microsoft, he has been a Data Scientist and a Data Solutions Architect in various Cloud and AI teams. Prior to joining Microsoft, Parashar worked at Nokia Networks as a Solutions Architect & Product Manager building customer experience analytics solutions for global telcos. He also co-founded a carpooling startup, which helped employees carpool safely. He has 10+ years of global work experience. He is an alum of Indian Institute of Management, Bangalore and Gujarat University.
Read more
See other products by Parashar Shah
Profile icon Jen Stirrup
LinkedIn
Jen Stirrup is a data strategist and technologist, a Microsoft Most Valuable Professional (MVP), and a Microsoft Regional Director, a tech community advocate, a public speaker and blogger, a published author, and a keynote speaker. Jen is the founder of a boutique consultancy based in the UK, Data Relish, which focuses on delivering successful business intelligence and artificial intelligence solutions that add real value to customers worldwide. She has featured on the BBC as a guest expert on topics relating to data.
See other products by Jen Stirrup
Profile icon Lauri Lehman
LinkedIn
Lauri Lehman is a data scientist who is focused on machine learning tools in Azure. He helps customers to design and implement machine learning solutions in the cloud. He works for the software consultancy company, Zure, based in Helsinki, Finland. For the past 4 years, Lauri has specialized in data and machine learning in Azure. He has worked on many machine learning projects, developing solutions for demand estimation, text analytics, and image recognition, for example. Lauri has previously worked as an academic researcher in theoretical physics, after obtaining his PhD on topological quantum walks. He still likes to follow the progress of modern physics and is eagerly a waiting the era of quantum machine learning!
Read more
See other products by Lauri Lehman
Profile icon Anindita Basak
LinkedIn
Anindita Basak is a cloud architect with almost 15+ years of experience, the last 12 years of which she has been extensively working on Azure. She has delivered various real-time implementations on Azure data analytics, and cloud-native and real-time event-driven architecture for Fortune 500 enterprises, ranging from banking, financial services, and insurance (BFSI)to retail sectors. She is also a cloud and DataOps trainer and consultant, and author of cloud AI and DevOps books.
See other products by Anindita Basak
Right arrow icon

Other recommended products

Related to this chapter
Left arrow icon
Learning Microsoft Cognitive Services
Learning Microsoft Cognitive Services
This book will introduce you to the APIs released as part of Cognitive Services platform and show you how to leverage their capabilities. More importantly, you'll see how the power of these APIs can be combined to build real-world apps that have cognitive capabilities.
Sep 2018 10 hours 24 minutes
Hands-On Data Warehousing with Azure Data Factory
Hands-On Data Warehousing with Azure Data Factory
Azure Data Factory (ADF) is a Microsoft Azure PaaS solution which supports data movement between many on premises and cloud data sources. This book covers custom tailored tutorials to help you develop , maintain and troubleshoot data movement processes and environments using Azure Data Factory V2 and SQL Server Integration Services 2017
May 2018 9 hours 28 minutes
Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide
Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide
Cognitive Toolkit is one of the most popular and recently open sourced deep learning toolkit by Microsoft. Cognitive Toolkit is used to train fast and effective deep learning models. This book will be a quick introduction to using Cognitive Toolkit and will teach you how to train and validate different types of neural networks.
Mar 2019 6 hours 56 minutes
SQL Server 2017 Machine Learning Services with R
SQL Server 2017 Machine Learning Services with R
With integrated R Services within SQL Server 2017, developers and data scientists can now benefit from the integrated, effective, efficient and more streamlined analytics environment. In this book, you will understand how to leverage the capabilities of R Services in SQL Server 2017. This short yet effective guide will help you get familiar with SQL Server 2017 R Services, and will show how to implement efficient data science models using it.
Feb 2018 11 hours 16 minutes
Advanced Analytics with R and Tableau
Advanced Analytics with R and Tableau
R is the go-to tool for statistics and data mining while Tableau offers an interface to filter data, plug and play with rich visualizations to describe insights from your data. When combined these two tools makes it easier to harness interesting patterns and communicate stories. This book covers various analytical techniques like prediction, classification, clustering and best practices to visualize it using interactive dashboard with drop-downs, sliders, and other visual cues of Tableau. Get to know how R can be used in conjunction with Tableau and implement powerful machine learning techniques making big data analytics accessible and presentable through Tableau workbooks.
Aug 2017 5 hours 56 minutes
Azure Data Factory Cookbook
Azure Data Factory Cookbook
With the help of well-structured and practical recipes, this book will teach you how to integrate data from the cloud and on-premise. You’ll learn how to transform, clean, and consolidate data into a single data platform and get to grips with using ADF as the main ETL and orchestration tool for your data warehouse or data platform project.
Dec 2020 12 hours 44 minutes
Automated Machine Learning
Automated Machine Learning
This guide will help you to explore automated machine learning (AutoML), a rapidly growing subfield of machine learning. You’ll learn how you can use AutoML to fully automate the machine learning process even if you’re not an expert, and in turn increase your productivity drastically.
Feb 2021 10 hours 24 minutes
Cloud Analytics with Microsoft Azure
Cloud Analytics with Microsoft Azure
Cloud Analytics with Microsoft Azure is an end-to-end guide to processing and analyzing big data using a range of Microsoft Azure features. This book covers everything you need to build your own data warehouse and learn numerous techniques to gain useful insights by analyzing big data.
Nov 2019 8 hours 4 minutes
Stream Analytics with Microsoft Azure
Stream Analytics with Microsoft Azure
This book is your guide to understanding the basics of how Azure Stream Analytics works, and build your own analytics solution using its capabilities. By the end of this book, you will be well-versed in using Azure Stream Analytics to develop an efficient analytics solution which can work with any type of data.
Dec 2017 10 hours 44 minutes
Limitless Analytics with Azure Synapse
Limitless Analytics with Azure Synapse
This book helps you understand the basic concepts and techniques of using Azure Synapse step-by-step. You'll gradually gain the skills you need to work with data and develop analytics solutions using the Azure analytics platform even with no prior knowledge of Azure.
Jun 2021 13 hours 4 minutes
Architecting Microsoft Azure Solutions - Exam Guide 70-535
Architecting Microsoft Azure Solutions - Exam Guide 70-535
This study guide includes all the topics that are still relevant from the previous 70-534 exam, updated with the latest features like Artificial Intelligence, IoT, and architecture styles. This guide will help Azure Architects, Developers or anyone interested in designing and implementing effective Cloud architecture strategies.
Apr 2018 13 hours 56 minutes
Serverless Integration Design Patterns with Azure
Serverless Integration Design Patterns with Azure
Whether you work for a small start-up or for a large enterprise, this book can help you understand Microsoft Cloud Integration technologies to Integrate application and business processes. By using this book, readers will be able to learn various Architecture design principles while connecting Enterprise application with Azure components.
Feb 2019 16 hours 28 minutes
Right arrow icon

Personalised recommendations for you

Based on your interests and search pattern
Left arrow icon
Et al.
Et al.
Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.
Aug 2023 7 hours 40 minutes
Generative AI with LangChain
Generative AI with LangChain
This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.
Dec 2023 12 hours 0 minutes
Generative AI with LangChain
Generative AI with LangChain
This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.
Dec 2023 12 hours 0 minutes
Generative AI with LangChain
Generative AI with LangChain
This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.
Dec 2023 12 hours 0 minutes
Generative AI with LangChain
Generative AI with LangChain
This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.
Dec 2023 12 hours 0 minutes
Mastering Tableau 2023
Mastering Tableau 2023
This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.
Aug 2023 22 hours 48 minutes
Building AI Applications with ChatGPT APIs
Building AI Applications with ChatGPT APIs
This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.
Sep 2023 8 hours 36 minutes
Building AI Applications with ChatGPT APIs
Building AI Applications with ChatGPT APIs
This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.
Sep 2023 8 hours 36 minutes
Data Engineering with AWS
Data Engineering with AWS
Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.
Oct 2023 21 hours 12 minutes
Modern Data Architecture on AWS
Modern Data Architecture on AWS
Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.
Aug 2023 14 hours 0 minutes
Practical Guide to Applied Conformal Prediction in Python
Practical Guide to Applied Conformal Prediction in Python
Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.
Dec 2023 8 hours 0 minutes
TinyML Cookbook
TinyML Cookbook
With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.
Nov 2023 22 hours 8 minutes
Right arrow icon