It's quite possible that the only thing more confusing than defining data science is actually hiring data scientists. Hiring Data Scientists and Machine Learning Engineers is a concise, practical guide to cut through the confusion. Whether you're the founder of a brand new startup, the senior vice president in charge of "digital transformation" at a global industrial company, the leader of a new analytics effort at a non-profit, or a junior manager of a machine learning team at a tech giant, this book will help walk you through the important questions you need to answer to determine what role and which skills you should hire for, how to source applicants, how to assess those applicants' skills, and how to set your new hires up for success. Special emphasis is placed on in-office vs remote hiring situations.

Among other things, Hiring Data Scientists and Machine Learning Engineers will help you

• Nail down your hiring needs
• Write an effective job description
• Work effectively with HR to source talent
• Efficiently filter applicants
• Conduct high signal interviews
• Optimize your process for remote or on-site hires
• Smell out DS BS

Additionally, there are interviews throughout the book with experienced DS and MLE hiring managers lending their perspectives on the difficulties in hiring and effective strategies to hire the best teams. Including interviews with

• Julie Hollek, Senior Data Science Manager at Mozilla
• Chris Albon, Director of Machine Learning at The Wikimedia Foundation
• Sean Taylor, Data Science Manager at Lyft
• Angela Bassa, Senior Director of the Data Science and Analytics Center of Excellence at iRobot
• Ravi Mody, Engineering Manager at Spotify

An analytics and machine learning team is only as good as the people you hire. Let Hiring Data Scientists and Machine Learning Engineers guide you to your best possible team.

The paperback version is available at The Book Patch and Amazon.

Zefs Guide to Deep Learning is a short guide to the most important concepts in deep learning, the technique at the center of the current artificial intelligence revolution. It will give you a strong understanding of the core ideas and most important methods in deep learning. This book presents the foundational concepts behind machine learning, neural networks, and the recent major advancements in architectures and training techniques in an easy to understand way. It also covers the most important applications of deep neural networks, including computer vision, natural language processing, and beyond. Your time is valuable, Zefs Guide to Deep Learning will get you up to speed in around only 150 pages!

---->> Get the book + the flashcards together in the bundle and save! <<----

Visit zefsguides.com to get the paperback edition as well as promos and Zefs Guides merch!

The Zefs Guides series

Zefs Guide to Deep Learning is the first book in the Zefs Guides series on deep learning and its applications. It forms the ground knowledge for the other books in the series:

• Zefs Guide to Computer Vision
• Zefs Guide to Natural Language Processing
• Zefs Guide to Transformers

Zefs Guides are designed to help the beginner quickly get up to speed on topics in machine learning and data science and to help the experienced practitioner push their conceptual understanding even further. They are short and to the point, covering the most important topics and ideas. They're for you if you are a job seeker looking for a role in ML/AI/DS, a student studying for exams, an experienced data person dusting off your old knowledge, or an executive seeking a better understanding of some of today's most important technologies.

Please visit zefsguides.com for more info.