Chapters 
 Transcript 
 Episode notes 
 1  2  3  4  5  6  7  8  9  10  11  12  13  14  15  16  17  18  19  20 
 Introduction 
 00:00 • 2min 
 Machine Learning: A Crossroads in the Field of Machine Learning 
 02:17 • 3min 
 The Rise of Deep Learning in Machine Learning 
 04:54 • 1min 
 AMP Lab - Scalability and Machine Learning 
 06:16 • 3min 
 Machine Learning - What's the Story Behind the Company? 
 09:45 • 4min 
 Is There a Shortage of Machine Learning Engineers? 
 13:44 • 4min 
 Hyperband Is Taking Off, Right? 
 18:11 • 1min 
 Is Hyperband the Right Tool for Hyper Parameter Optimization? 
 19:36 • 4min 
 The Curse of Dimensionality 
 23:37 • 2min 
 Neural Architecture Search 
 25:24 • 4min 
 The Ethos of Model Development Is Capturing Everything That Goes Into Your Model Definition 
 29:09 • 2min 
 Machine Learning and Systems Intersection 
 30:52 • 2min 
 Reproducibility Is a Core Tenant in the Systems World 
 32:59 • 3min 
 Is Hyperbank an Auto ML Platform? 
 36:23 • 2min 
 Auto ML Is More Than Hyperparameter Optimization or Neural Architecture Search 
 38:34 • 2min 
 The Future of Machine Learning? 
 40:48 • 2min 
 Is It a Question of Better Algorithms? 
 43:08 • 3min 
 The Green AI Paper Talks About Efficiency 
 46:10 • 1min 
 Optimizing for Fairness or Privacy or Interpretability? 
 47:40 • 4min 
 The Future of Machine Learning 
 52:09 • 3min 


