Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
-
136: Learn Blockchain!
Udgivet: 2.3.2018 -
135: How Directors of Data Science Changes the World with Machine Learning and AI
Udgivet: 28.2.2018 -
134: How do Lobsters Grow?
Udgivet: 23.2.2018 -
133: How a Passion for Tableau Changed a Life
Udgivet: 22.2.2018 -
132: The Data-Driven Executive
Udgivet: 16.2.2018 -
131: The One Purpose to Data Science and The Truth about Analytics
Udgivet: 15.2.2018 -
130: Instant Gratification Monkey
Udgivet: 9.2.2018 -
129: Database Challenges for Data Science and How to Deal With Them
Udgivet: 8.2.2018 -
128: Confident Data Skills
Udgivet: 2.2.2018 -
127: No Compromise: Tableau, Twitter and Fearless Career Shifts
Udgivet: 31.1.2018 -
126: Ender's Game
Udgivet: 26.1.2018 -
125: A Glimpse into the Virtual Reality World of the Future
Udgivet: 24.1.2018 -
124: Reckless Commitment
Udgivet: 19.1.2018 -
123: How to be Unstoppable: Data Science, Reckless Commitment & Artificial Intelligence
Udgivet: 17.1.2018 -
122: Who Moved My Cheese?
Udgivet: 12.1.2018 -
121: Building a Successful Data Science Practice and How to be an Effective Data Scientist
Udgivet: 10.1.2018 -
120: Technological Singularity
Udgivet: 5.1.2018 -
119: Data Science Trends for 2018
Udgivet: 3.1.2018 -
118: New Year Resolutions
Udgivet: 29.12.2017 -
117: 1-on-1 with Kirill: What I learned in 2017
Udgivet: 28.12.2017
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.
