#20 – Active Machine Learning with Dr. Jennifer Prendki
In Algo Podcast Episode 20, Dr. Jennifer Prendki and Amjad Hussain discuss Active Machine Learning.
Skip, recap, or review with timestamps:
0:00 Introduction
3:29 Jennifer’s AI Journey
5:15 Collecting Good Data
6:04 Particle Accelerator & Physics Research
8:00 Physics Standard Models
10:18 Are Standard Models Still Useful?
13:49 Data Outliers
15:31 Next Physics Breakthrough
19:12 Aliens, Dark Matter & Energy
21:12 Difference between Antimatter & Dark Matter
24:24 Decay Curve for Electrons & Positrons
26:48 Discovering New Particles
28:32 Relationship Between Quantum Nature & Space Time
30:30 What is Artificial Intelligence & Machine Learning?
32:58 Why can people perform better than Supervised Machine Learning?
37:24 Machine Teaching
38:51 How to improve Supervised Learning
43:02 Focusing on variance instead of volume
43:45 ROI for organizations
45:40 How to build diverse data sets
48:25 Understandability in models & data
50:09 Active Machine Learning
53:33 Understanding where models are struggling
56:09 How to learn active learning approach
58:44 Using Active Learning to Prioritize Data
1:04:08 Role of synthetic data
1:09:41 How can people interact with trained models?
1:12:20 Meta Machine Learning
1:13:09 Advice for people learning ML
About the host
Amjad Hussain
Amjad Hussain is an entrepreneur at heart. He founded Algo where he is the CEO during the day and AI lego blocks designer at night. He has built an intrinsically motivated global team of deep business domain experts, AI architects, computer scientists and software engineers. Algo is an always on full stack platform with deep learning, augmented reality and workflow automation woven at its core. The platform has a conversational virtual business analyst persona as its primary user interface. The company is enjoying sustainable growth creating tremendous net new value for its customers world-wide.
Amjad completed his Bachelors in Electrical Engineering with Honors from UET Lahore. He earned his Master’s degree in Electrical Engineering & Computer Science from UMIST, in the United Kingdom and an Advanced Analytics MBA from MIT. He has completed general management programs at Harvard and Stanford business schools. Amjad deeply cares about ethical issues surrounding AI and its societal impact.
