Category: Data Science 101
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Complete Guide of Quantum Computing Resources
Quantum Computing is starting to gain attention in the developer world and startup circles. Here is a large listing of resources for learning about quantum computing. Quantum Computing Books Quantum Computing Courses Quantum Computing Blogs Quantum Computing Research Quantum Computing Podcasts Quantum Computing Companies Large Companies doing Quantum Computing In addition to the large cloud…
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Data Science on Azure
We will dive into Microsoft Azure for data science and building a career in data There will be a lot to discuss with these two authors. Here is a list of some of the questions to be covered: Why write this book? Walk us thru the book and how it can help someone. How would…
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Data Management & Data Stories with Scott Taylor
Data Management, Stories, Video and more topics With Scott, there is a lot to discuss. Here are some of the potential topics. What are common mistakes you see businesses make with regards to data? What is an example of a great data story? Why write this book now? How has the data landscape changed over…
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Starting a Data Career
Get a copy of Getting Started with Data See more interviews at The Example Show
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Data Science 101 Blog gets a New Home
The Data Science 101 blog was started almost 9 years ago and the goal was to collect useful information for people looking to break into data science. It did that well, but now there are many other resources for learning data science. Thus, I have changed the URL and will be altering the focus a…
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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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Data Science Papers for Spring 2020
The world of data science is rapidly evolving. Here are a few data science papers I have found interesting. What’s Wrong with Computational Notebooks? Pain Points, Needs, and Design OpportunitiesThis paper is a study done on the usage of notebooks for data science. It cover a bunch of the negative impacts of using notebooks for…
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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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Azure has the most Cloud Regions, and it’s not even close
The big cloud providers are expanding globally by adding more Global Regions. Google recently announced a new mountain west region. Plus, all the other providers have plans to expand globally. This got me wondering, which provider has the most global regions. I went to all the big cloud provider websites, and I was a bit…
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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…