Tag: machine learning

  • Nhung Ho – Data Science in a Cloud World

    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…

  • Daphne Koller – A New Approach to Drug Discovery

    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.

  • Data Science Papers for Spring 2020

    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…

  • Hilary Mason – The Future of AI and Machine Learning

    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.

  • Google Video – Rules of Machine Learning

    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…

  • Emily Glassberg Sands – How Data Science Can Unlock Teaching & Learning at Scale

    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.

  • Building Your First Model with Azure Machine Learning

    Building Your First Model with Azure Machine Learning

    The first course in the Mastering Azure Machine Learning series has launched. It focuses on building your first model with Azure Machine Learning. This is a great place to start if you are brand new to Azure Machine Learning. In particular, you will learn the following. Create an Azure Machine Learning workspace Create a compute…

  • Cloud Data Science 7

    Cloud Data Science 7

    Welcome to Cloud Data Science 7. Announcements around an exciting new open-source deep learning library, a new data challenge and more. News Microsoft Releases DeepSpeed for Training very large ModelsDeepSpeed is a new open-source library for deep learning optimization. Using a component of the library named ZeRO, it can train models with up to 100…

  • DP 100 Updated – Microsoft Data Science Certification

    DP 100 Updated – Microsoft Data Science Certification

    DP 100 Updated! Microsoft has updated the Data Science Certification exam. I took the exam about a year ago and it was a bit out of date back then. It should now match the current focus and tools on Azure. I have covered my experience and what topics are on the exam. Those blog posts…

  • The Difference between AI and ML

    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…

  • 3 Predictions for Cloud Data Science in 2020

    3 Predictions for Cloud Data Science in 2020

    As 2020 begins, there has been limited cloud data science announcements so I put together some predictions. Here are 3 things I believe will happen in 2020. 1. Cloud Collaboration I think we are going to see more interoperability between the major cloud providers. For example, Azure Arc now allows you to run Azure products…

  • Cloud Data Science News – Beta 9

    Cloud Data Science News – Beta 9

    Happy New Year. 2020 is here. A new decade! Unfortunately, it did not bring a flurry of data science announcements. I did create my list of 3 predictions for 2020, so those will be coming out soon. News No significant news to report. Hopefully some releases and announcements will be coming next week. Videos Machine…