Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
-
056: Date With Destiny
Udgivet: 26.5.2017 -
055: Building and Managing a Successful Data Science Team
Udgivet: 24.5.2017 -
054: Selective Ignorance
Udgivet: 19.5.2017 -
053: Career Transitioning to Data Science: Important Lessons from an Aspiring Data Scientist
Udgivet: 17.5.2017 -
052: Getting Things Done
Udgivet: 12.5.2017 -
051: Understanding the Newest Big Data Technology Buzz Terms
Udgivet: 10.5.2017 -
050: Teamwork
Udgivet: 5.5.2017 -
049: Great Tips on Building a Successful Analytics Culture
Udgivet: 3.5.2017 -
048: Push Yourself
Udgivet: 28.4.2017 -
047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised
Udgivet: 26.4.2017 -
046: What is Reality?
Udgivet: 21.4.2017 -
045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok
Udgivet: 19.4.2017 -
044: Addicted to Data
Udgivet: 15.4.2017 -
043: Solving an Optimization Problem with a Custom Built Algorithm
Udgivet: 12.4.2017 -
042: Secret to Success
Udgivet: 7.4.2017 -
041: An Inspiring Journey from a Totally Different Background to Data Science
Udgivet: 5.4.2017 -
040: Get in Touch
Udgivet: 31.3.2017 -
039: Key Data Science and Statistical Skills to Get Hired at VSCO
Udgivet: 29.3.2017 -
038: How to Get a Job in Data Science
Udgivet: 24.3.2017 -
037: Develop your Dream Data Science Career with Experfy
Udgivet: 22.3.2017
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.