Machine Learning Yearning
Technical Strategy for AI Engineers, In the Era of Deep Learning
| eBook | Free |
| Rating |  |
| Author | Andrew Ng |
| Publisher | Self-publishing |
| Published | 2018 |
| Pages | 118 |
| Language | English |
| Format | Paper book / ebook (PDF) |
AI is transforming numerous industries. Machine Learning Yearning, a free ebook from Andrew Ng, teaches you how to structure Machine Learning projects.
This book is focused not on teaching you ML algorithms, but on how to make ML algorithms work. After reading Machine Learning Yearning, you will be able to: Prioritize the most promising directions for an AI project; Diagnose errors in a machine learning system; Build ML in complex settings, such as mismatched training/ test sets; Set up an ML project to compare to and/or surpass human - level performance; Know when and how to apply end-to-end learning, transfer learning, and multi-task learning.
- Andrew Ng
Similar Books
by Nick Pentreath
Apache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data storage. It is one of the few frameworks for parallel computing that combines speed, scalability, in-memory processing, and fault tolerance with ease of programming and a flexible, expressive, ...
Price: $34.99 | Publisher: Packt Publishing | Release: 2015
Mastering Azure Machine Learning, 2nd Edition 
by Christoph Korner, Marcel Alsdorf
Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logg...
Price: $41.99 | Publisher: Packt Publishing | Release: 2022
by Dino Esposito, Francesco Esposito
Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft's powerful ML....
Price: $34.99 | Publisher: Microsoft Press | Release: 2020
Practical Machine Learning for Computer Vision
by Valliappa Lakshmanan, Martin Görner, Ryan Gillard
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a gr...
Price: $59.54 | Publisher: O'Reilly Media | Release: 2021
by Drew Conway, John Myles White
If you're an experienced programmer interested in crunching data, this book will get you started with machine learning - a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of ha...
Price: $18.12 | Publisher: O'Reilly Media | Release: 2012
Predictive Analytics with Microsoft Azure Machine Learning
by Roger Barga, Valentine Fontama, Wee Hyong Tok
Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses descriptive ...
Price: $24.59 | Publisher: Apress | Release: 2014
Machine Learning in the Oil and Gas Industry
by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, Luigi Saputelli
Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good c...
Price: $29.86 | Publisher: Apress | Release: 2020
Quantum Machine Learning: An Applied Approach
by Santanu Ganguly
Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research.The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learnin...
Price: $48.75 | Publisher: Apress | Release: 2021