> The book is laid out as a series of fictionalized in sprints that take you from pre-project requirements and proposal development all the way to deployment. You’ll discover battle-tested techniques for ensuring you have the appropriate data infrastructure, coordinating ML experiments, and measuring model performance. With this book as your guide, you’ll know how to bring a project to a successful conclusion, and how to use your lessons learned for future projects.
1 INTRODUCTION: DELIVERING MACHINE LEARNING PROJECTS IS HARD, LET’S DO IT BETTER
2 PRE-PROJECT: FROM OPPORTUNITY TO REQUIREMENTS
3 PRE-PROJECT: FROM REQUIREMENTS TO A PROPOSAL
4 SPRINT ZERO: GETTING STARTED
5 SPRINT 1: DIVING INTO THE PROBLEM
6 SPRINT 1: EDA, ETHICS, BASELINE EVALUATION
7 SPRINT 2: MAKING USEFUL MODELS WITH ML
8 SPRINT 2: TESTING AND SELECTION
9 SPRINT 3: SYSTEM BUILDING AND PRODUCTION
10 POST PROJECT (SPRINT Ω)
Who is the target audience for this book? The description doesn't mention patterns and the online chapter view doesn't seem to have code samples
maybe_yeah t1_iwdu5wi wrote
Reply to [D] I Wrote a book "Managing Machine Learning Projects" by sgt102
> The book is laid out as a series of fictionalized in sprints that take you from pre-project requirements and proposal development all the way to deployment. You’ll discover battle-tested techniques for ensuring you have the appropriate data infrastructure, coordinating ML experiments, and measuring model performance. With this book as your guide, you’ll know how to bring a project to a successful conclusion, and how to use your lessons learned for future projects.
1 INTRODUCTION: DELIVERING MACHINE LEARNING PROJECTS IS HARD, LET’S DO IT BETTER
2 PRE-PROJECT: FROM OPPORTUNITY TO REQUIREMENTS
3 PRE-PROJECT: FROM REQUIREMENTS TO A PROPOSAL
4 SPRINT ZERO: GETTING STARTED
5 SPRINT 1: DIVING INTO THE PROBLEM
6 SPRINT 1: EDA, ETHICS, BASELINE EVALUATION
7 SPRINT 2: MAKING USEFUL MODELS WITH ML
8 SPRINT 2: TESTING AND SELECTION
9 SPRINT 3: SYSTEM BUILDING AND PRODUCTION
10 POST PROJECT (SPRINT Ω)
Who is the target audience for this book? The description doesn't mention patterns and the online chapter view doesn't seem to have code samples