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