Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episoade
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SDS 517: Courses in Data Science and Machine Learning
Publicat: 26.10.2021 -
SDS 516: Does Caffeine Hurt Productivity? (Part 3: Scientific Literature)
Publicat: 22.10.2021 -
SDS 515: Accelerating Impact through Community — with Chrys Wu
Publicat: 19.10.2021 -
SDS 514: Does Caffeine Hurt Productivity? (Part 2: Experimental Results)
Publicat: 15.10.2021 -
SDS 513: Transformers for Natural Language Processing
Publicat: 12.10.2021 -
SDS 512: Does Caffeine Hurt Productivity? (Part 1)
Publicat: 08.10.2021 -
SDS 511: Data Science for Private Investing — LIVE with Drew Conway
Publicat: 05.10.2021 -
SDS 510: Deep Reinforcement Learning
Publicat: 01.10.2021 -
SDS 509: Accelerating Start-up Growth with A.I. Specialists
Publicat: 28.09.2021 -
SDS 508: Building Your Ant Hill
Publicat: 24.09.2021 -
SDS 507: Bayesian Statistics
Publicat: 21.09.2021 -
SDS 506: Supervised vs Unsupervised Learning
Publicat: 17.09.2021 -
SDS 505: From Data Science to Cinema
Publicat: 14.09.2021 -
SDS 504: Classification vs Regression
Publicat: 10.09.2021 -
SDS 503: Deep Reinforcement Learning for Robotics
Publicat: 07.09.2021 -
SDS 502: Managing Imposter Syndrome
Publicat: 03.09.2021 -
SDS 501: Statistical Programming with Friends
Publicat: 31.08.2021 -
SDS 499: Data Meshes and Data Reliability
Publicat: 24.08.2021 -
SDS 498: How Only Beginners Know Everything
Publicat: 20.08.2021 -
SDS 497: Maximizing the Global Impact of Your Career
Publicat: 17.08.2021
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.
