Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
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SDS 517: Courses in Data Science and Machine Learning
Udgivet: 26.10.2021 -
SDS 516: Does Caffeine Hurt Productivity? (Part 3: Scientific Literature)
Udgivet: 22.10.2021 -
SDS 515: Accelerating Impact through Community — with Chrys Wu
Udgivet: 19.10.2021 -
SDS 514: Does Caffeine Hurt Productivity? (Part 2: Experimental Results)
Udgivet: 15.10.2021 -
SDS 513: Transformers for Natural Language Processing
Udgivet: 12.10.2021 -
SDS 512: Does Caffeine Hurt Productivity? (Part 1)
Udgivet: 8.10.2021 -
SDS 511: Data Science for Private Investing — LIVE with Drew Conway
Udgivet: 5.10.2021 -
SDS 510: Deep Reinforcement Learning
Udgivet: 1.10.2021 -
SDS 509: Accelerating Start-up Growth with A.I. Specialists
Udgivet: 28.9.2021 -
SDS 508: Building Your Ant Hill
Udgivet: 24.9.2021 -
SDS 507: Bayesian Statistics
Udgivet: 21.9.2021 -
SDS 506: Supervised vs Unsupervised Learning
Udgivet: 17.9.2021 -
SDS 505: From Data Science to Cinema
Udgivet: 14.9.2021 -
SDS 504: Classification vs Regression
Udgivet: 10.9.2021 -
SDS 503: Deep Reinforcement Learning for Robotics
Udgivet: 7.9.2021 -
SDS 502: Managing Imposter Syndrome
Udgivet: 3.9.2021 -
SDS 501: Statistical Programming with Friends
Udgivet: 31.8.2021 -
SDS 499: Data Meshes and Data Reliability
Udgivet: 24.8.2021 -
SDS 498: How Only Beginners Know Everything
Udgivet: 20.8.2021 -
SDS 497: Maximizing the Global Impact of Your Career
Udgivet: 17.8.2021
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.
