Published Jan 21, 2021
Peter Wang — Anaconda, Python, and Scientific Computing
Peter Wang delves into the evolution of Python and its critical role in scientific computing, discusses the future of data management, and addresses the ethical challenges of machine learning, all while highlighting Anaconda's impact in streamlining ML workflows for enterprises.
Topics covered
Popular Clips
Episode Highlights
Related Episodes
Peter Welinder — Deep Reinforcement Learning and Robotics
Answers 383 questions
Peter Skomoroch — Product Management for AI
Answers 383 questions
Peter Norvig – Singularity Is in the Eye of the Beholder
Answers 383 questions
Pete Warden — Practical Applications of TinyML
Answers 383 questions
Chip Huyen of Claypot AI— ML Research and Production Pipelines
Answers 383 questions
Piero Molino — The Secret Behind Building Successful Open Source Projects
Answers 383 questions
Chris Mattmann — ML Applications on Earth, Mars, and Beyond
Answers 383 questions
Richard Socher — The Challenges of Making ML Work in the Real World
Answers 383 questions
Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML
Answers 383 questions
Aaron Colak — ML and NLP in Experience Management
Answers 383 questions
Jehan Wickramasuriya — AI in High-Stress Scenarios
Answers 383 questions
Angela & Danielle — Designing ML Models for Millions of Consumer Robots
Answers 383 questions
Sean and Greg — Biology and ML for Drug Discovery
Answers 383 questions
Advanced AI Accelerators and Processors with Andrew Feldman of Cerebras Systems
Answers 383 questions
Vicki Boykis — Machine Learning Across Industries
Answers 383 questions