Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
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376: Expose Yourself to New Ideas Regularly
Udgivet: 19.6.2020 -
375: Utilizing Oracle Cloud as an Enterprise, Small Business, or Developer
Udgivet: 17.6.2020 -
374: Remember to Wind Down
Udgivet: 12.6.2020 -
373: TensorFlow and AI Learnings for Developers
Udgivet: 10.6.2020 -
372: Understanding the P-Value
Udgivet: 5.6.2020 -
371: The Power of Memory For Productivity
Udgivet: 3.6.2020 -
370: What is Support Vector Regression (SVR)?
Udgivet: 29.5.2020 -
369: Real Data Analytics for Economics, HR, and COVID-19
Udgivet: 27.5.2020 -
368: Future-Proof Your Career
Udgivet: 22.5.2020 -
367: Building Data Pipelines for COVID-19 Modeling
Udgivet: 20.5.2020 -
366: Define Your Own Success
Udgivet: 15.5.2020 -
365: Deep Learning Models For Recruitment
Udgivet: 13.5.2020 -
364: Depression and Suicidal Thoughts
Udgivet: 8.5.2020 -
363: Intuition, Frameworks, and Unlocking the Power of Data
Udgivet: 6.5.2020 -
362: Hybrid AI
Udgivet: 1.5.2020 -
361: How To Succeed As An Analytics Consultant
Udgivet: 29.4.2020 -
360: Importance of Sleep
Udgivet: 24.4.2020 -
359: Tackling Data Science Job Hunting, Interviews & Negotiations
Udgivet: 22.4.2020 -
358: Racism and Discrimination
Udgivet: 17.4.2020 -
357: Emotions, Relationships, and Being Kind During the Pandemic
Udgivet: 15.4.2020
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.
