The What, Why & How of Maths in AI, ML, Data Science journey
#DataScience #MathsinAI #MachineLearning #KaggleDelhiMein
Event Agenda
The What, Why & How of Mathematics in AI, ML, Data Science Industry?
[ Group Discussion with the panellists]
( From 12:15 PM IST to 1:30 PM IST on 16th August 2020 )
OUTLINE:
1:15 - Event starts, introduction of event and host
25:40 - People who are entering Data Science, are they trying to solve a problem or doing structured learning?
29:25 - How different is the journey of a data scientist from a traditional software development industry?
33:10 - Do you think the industry is shifting a little bit from understanding the fundamentals of applied mathematics to building products from tools like Tensorflow and other modeling products?
36:00 - For a fresher, do they need to clear their basics first or they start implementing the models and gradually understand the math behind it?
39:59 - Do fintech companies get a framework to play around?
42:30 - What is the acceptance rate of pure mathematics in AI industry?
48:26 - Practical example of where mathematics is actually useful.
50:21 - What all skills you are looking for while hiring for your Data Science team?
54:00 - Advice for people applying for a career in Data Science
1:02:12 - Advice on transitioning from Academia to Data Science and AI industry
1:07:35 - How does an aspirant make themselves discoverable for entering into the industry
1:17:18 - Brief history of Deep Learning
1:19:04 - Take on claims made by GPT3
1:20:30 - How much depth one should go in Mathematics to understand Data Science and AI?
1:22:37 - Resources on learning the Math behind AI
1:22:37 - Advice to undergraduate students who want to move into AI research
1:35:35 - When do you think computers will become smarter than humans?
1:39:52 - Advice on where to start, what to learn, where to find the right resources.
1:45:43 - Closing speech
[ Errata : 83 billion Neurons ]
Host
Kashvi Srivastava: Ph.D. Student @ University of Michigan
[ / kashvisrivastava ]
Panellists
1. Aman Taneja: Head of Data Science @ Housing.com
[ / aman-t042 ]
2. Ravikant Bhargav: Founder & Chief AI Officer @ Sparrosense
[ / ravikant-bhargav ]
3. Vasu Jain: Deputy Manager - Analytics @ PaisaBazaar
[ / jainvasu ]
4. Sarvesh Pradhan: Associate Director - Data Sciences & AI @ ZestMoney
[ / sarveshpradhan ]
5. Binay Krishna Shivam: Co-Founder, TapChief
[ / binaykrishnashivam ]
3:03 - Aman Taneja's introduction
4:13 - Sarvesh Pradhan's introduction
5:17 - Vasu Jain's introduction
6:17 - Ravikant Bhargav's introduction
7:06 - Binay Krishna Shivam's introductions
7:50 - The panel discussion begins
9:46 - Sarvesh Pradhan's Journey
13:16 - Vasu Jain's Journey
16:16 - Aman Taneja's Journey
21:06 - Ravikant Bhargav's Journey
22:45 - Kashvi Srivastava's Journey
25:00 - Binay Krishna's Journey
For any queries, email us to [email protected]
Video Cuts :
Introduction: (0:00)
Starting: (1:15)
Panel Discussion: (25:40)
Resource for Maths: (1:39:52)
Outro and final remarks: (1:45:43)
0:00 Introduction
1:15 Starting
25:40 Panel Discussion
1:39:52 Resource for Maths
1:45:43 Outro and final remarks