Category: Video
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Nhung Ho – Data Science in a Cloud World
This is a great talk for data scientists and managers of technology teams. If you do data science in 2020 or beyond, there is a good chance the cloud will be involved. Topics covered: Lessons learned when migrating data science (or technology in general) to the cloud AI services available via different cloud providers Workflows…
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Brandon Rohrer – How Deep Neural Networks Work
Brandon Rohrer is an expert in neural networks and deep learning. Plus, he makes really excellent videos about the topic. His entire YouTube Channel is worth viewing. See other top data science videos on the Data Science 101 video page.
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Daphne Koller – A New Approach to Drug Discovery
Daphne Koller is a former Stanford Professor, former co-founder of Coursera, and now a founder of insitro. She has a wealth of knowledge and always has something interesting to say. This talk was delivered at Women in Data Science 2020.
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Hilary Mason – The Future of AI and Machine Learning
Hilary Mason is the Founder of Fast Forward Labs. She has been involved in the data science space for over a decade. She is a real thought leader in the data space. This keynote was delivered at ODSC East 2020.
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Google Video – Rules of Machine Learning
To be great with machine learning, it helps to be a great engineer. That means doing the following: Those are the general rules for software engineering, this video contains some specific rules for software with machine learning. The complete list, from Google can be found at Rules of Machine Learning. This video is part of…
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Emily Glassberg Sands – How Data Science Can Unlock Teaching & Learning at Scale
Emily Glassberg Sands is the Head of Data Science at Coursera. This is a nice talk about how Coursera uses data science to improve the scale of teaching and learning. This talk was delivered at Women in Data Science 2020.
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The Difference between AI and ML
It is easy to get the Difference between AI and ML mistaken these days. They are closely related topics. What is Artificial Intelligence (AI)? Artificial Intelligence has nearly as many definitions as people you ask. Here are two intriguing definitions I have heard. “Anything Computers cannot do … yet!” appears in many places, original source…
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IADSS Talk – Who can be a Data Scientist?
Initiative for Analytics and Data Science Standards (IADSS) is an organization working to develop standards around the roles in data science. They did a large survey earlier this year and they are starting to role out some of their results. Below is a video with some early results. Great Stuff! Data Science 101 is proud…
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DJ Patil – Tips to Build a Career in Data
DJ Patil, former US Chief Data Scientist and data science legend, has a nice video with helpful tips for people looking to get into data science. Strive for Curiosity Follow Ethics and Security Be part of a Team Solve a Local Problem
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Tips for Data Science Students – FB Live
Awhile ago, I recorded a Facebook Live on Tips for Data Science Students. It goes along with the following post: Getting the most from your Data Science Masters Program.
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Go After Your Data Science Dreams – Demystify Data Science Presentation 2017
Stick around for the Question and Answers at the end of the presentation where I talk about starting your own blog or entering Kaggle contests. All of the other talks were great as well. You can register here Demystify Data Science Conference 2017 by Metis to get free access to all the other video presentations.
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The Future of Data Science – Specialization
I have recently been exploring with creating YouTube Live Videos. Go to the Data Science 101 Facebook page to know more.