Search icon Close icon
Search icon
0
Cart icon
Close icon
You have no products in your basket yet
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Automated Machine Learning

You're reading from  Automated Machine Learning

Product type Book
Published in Feb 2021
Publisher Packt
ISBN-13 9781800567689
Pages 312 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Adnan Masood Adnan Masood
Profile icon Adnan Masood
LinkedIn
Adnan Masood, PhD is an artificial intelligence and machine learning researcher, visiting scholar at Stanford AI Lab, software engineer, Microsoft MVP (Most Valuable Professional), and Microsoft's regional director for artificial intelligence. As chief architect of AI and machine learning at UST Global, he collaborates with Stanford AI Lab and MIT CSAIL, and leads a team of data scientists and engineers building artificial intelligence solutions to produce business value and insights that affect a range of businesses, products, and initiatives.
See other products by Adnan Masood

Table of Contents (15) Chapters

Preface Section 1: Introduction to Automated Machine Learning
Chapter 1: A Lap around Automated Machine Learning Chapter 2: Automated Machine Learning, Algorithms, and Techniques Chapter 3: Automated Machine Learning with Open Source Tools and Libraries Section 2: AutoML with Cloud Platforms
Chapter 4: Getting Started with Azure Machine Learning Chapter 5: Automated Machine Learning with Microsoft Azure Chapter 6: Machine Learning with AWS Chapter 7: Doing Automated Machine Learning with Amazon SageMaker Autopilot Chapter 8: Machine Learning with Google Cloud Platform Chapter 9: Automated Machine Learning with GCP Section 3: Applied Automated Machine Learning
Chapter 10: AutoML in the Enterprise Other Books You May Enjoy

ML in the AWS landscape

Gartner is among a few major advisory companies that regularly review the landscape of technology and provide a comprehensive overview of their findings in their Magic Quadrant reports. In its latest release, the Magic Quadrant contains Anaconda and Altair as niche players, Microsoft, DataRobot, KNIME, Google, H2O.ai, RapidMiner, and Domino as visionaries, IBM as a challenger, and Alteryx, SAS, Databricks, MathWorks, TIBCO, and Dataiku as leaders in the data science and ML space.

It is surprising for us to not see AWS mentioned here. There are six companies in the leadership quadrant due to their consistent record of data science and AI solution deliveries, and seven are classified as visionaries. However, AWS not making it to the visionaries and/or the leaders quadrant is attributed to the announcement delay. The AWS flagship AI products SageMaker Studio and SageMaker Autopilot were announced after the deadline for Gartner submission; hence they didn&apos...

lock icon The rest of the chapter is locked
arrow left Previous Chapter
Chapter 1 of 15
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 (1)

Profile icon Adnan Masood
LinkedIn
Adnan Masood, PhD is an artificial intelligence and machine learning researcher, visiting scholar at Stanford AI Lab, software engineer, Microsoft MVP (Most Valuable Professional), and Microsoft's regional director for artificial intelligence. As chief architect of AI and machine learning at UST Global, he collaborates with Stanford AI Lab and MIT CSAIL, and leads a team of data scientists and engineers building artificial intelligence solutions to produce business value and insights that affect a range of businesses, products, and initiatives.
See other products by Adnan Masood

Other recommended products

Related to this chapter
Left arrow icon
Automated Machine Learning with AutoKeras
Automated Machine Learning with AutoKeras
AutoKeras is a very simple and popular open source AutoML framework that provides easy access to deep learning models. This book will help you to explore the basics of automated machine learning using practical examples, enabling you to create and use your own models in your company or project.
May 2021 6 hours 28 minutes
Amazon SageMaker Best Practices
Amazon SageMaker Best Practices
Going beyond the basics, Amazon SageMaker Best Practices provides end-to-end coverage of the service capabilities that the platform offers for building and automating machine learning workloads to address data science challenges. With this book, you'll discover tips to train, deploy, and monitor your machine learning solutions efficiently.
Sep 2021 11 hours 36 minutes
Machine Learning Engineering with MLflow
Machine Learning Engineering with MLflow
Machine Learning Engineering with MLflow is a step-by-step guide that will have you up and running, and productive in no time with MLflow using the most effective machine learning engineering approach. You will also learn how to scale MLflow in big data environments and for high computing demands.
Aug 2021 8 hours 16 minutes
Automated Machine Learning with Microsoft Azure
Automated Machine Learning with Microsoft Azure
A practical, step-by-step guide to using Microsoft's AutoML technology on the Azure Machine Learning service for developers and data scientists working with the Python programming language
Apr 2021 11 hours 20 minutes
Learn Amazon SageMaker
Learn Amazon SageMaker
This book will teach you how to move quickly from business questions to machine learning models in production. Using real-world examples implemented with Python and Jupyter notebooks, you’ll learn about many the features and APIs of Amazon SageMaker on a wide spectrum of use cases: tabular data, computer vision, and natural language processing.
Aug 2020 16 hours 20 minutes
Machine Learning with BigQuery ML
Machine Learning with BigQuery ML
This book helps you accelerate machine learning model development with BigQuery ML. Throughout the book, you'll use various ML models to learn about BigQuery ML features and discover how to apply them to different business scenarios. This book will help you to extend existing SQL capabilities to leverage the full potential of machine learning.
Jun 2021 11 hours 28 minutes
Hands-On Automated Machine Learning
Hands-On Automated Machine Learning
This book helps machine learning professionals in developing AutoML systems that can be utilized to build ML solutions. This book covers the necessary foundations and shows the most practical ways possible to get to speed with regards to creating AutoML modules.
Apr 2018 9 hours 24 minutes
Machine Learning Automation with TPOT
Machine Learning Automation with TPOT
If you are a developer looking to build machine learning models without spending months and years learning machine learning prerequisites, look no further than AutoML. This practical and concise guide will show you how to build automated models for regression and classification, both with traditional algorithms and neural networks.
May 2021 9 hours 0 minutes
Mastering Azure Machine Learning
Mastering Azure Machine Learning
This book will help you learn how to build a scalable end-to-end machine learning pipeline in Azure from experimentation and training to optimization and deployment. By the end of this book, you will learn to build complex distributed systems and scalable cloud infrastructure using powerful machine learning algorithms to compute insights.
Apr 2020 14 hours 32 minutes
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 11 hours 40 minutes
Learn TensorFlow Enterprise
Learn TensorFlow Enterprise
This book is a comprehensive introduction for those who are new to scalable and optimized TensorFlow for production. You will learn how to deliver enterprise-grade support for your existing and newly built AI applications. You will address the various needs of AI-enabled organizations to manage and scale machine learning workloads in production.
Nov 2020 10 hours 28 minutes
Hands-On Machine Learning with Azure
Hands-On Machine Learning with Azure
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 ML processes as an enterprise-ready methodology. By the end of this book, you will implement machine learning and artificial intelligence concepts in your model to solve real-world problems.
Oct 2018 11 hours 20 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