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  • Cloud Data Science News – Beta #5

    Cloud Data Science News – Beta #5

    Huge week of machine learning news from Amazon. This week Amazon hosted the large AWS re:Invent Conference. And there are…tons….of machine learning announcements from that event. Announcements Amazon SageMaker StudioA browser-based Integrated Development Environment (IDE) for machine learning. This is going to be very helpful. Amazon SageMaker ExperimentsAllows for organizing, tracking, and comparing of machine Read more

  • Qualifications to Become a Data Analyst

    Qualifications to Become a Data Analyst

    Data Analysis as a career Do you know which the sexiest job of the 21st Century is? As per the Harvard Business Review, it is Data Scientist. Though, technically, Data Scientists are a few notches above Data Analysts, becoming a Data Analyst makes it easier for you to become a Data Scientist. Picking a career Read more

  • How to Switch Workspaces in Azure ML

    Azure Machine Learning allows a person to have multiple Workspaces. It is not clearly obvious how to switch to a different Workspace. This video will provide a quick example of how to switch to a different Workspace. Read more

  • Questions to ask before building a Data Strategy

    Questions to ask before building a Data Strategy

    Building a data strategy is a great idea. It helps to avoid many of the Challenges of a Data Science Projects. However, there are many questions to address before getting started. Below is a list of some of those questions. General Questions Before Starting a Data Strategy Do you have a process for solving problems Read more

  • AWS re:Invent 2019 Livestream

    AWS re:Invent 2019 starts today. It is a large learning conference dedicated to Amazon Web Services and Cloud Computing. Parts of the event will be livestreamed, so you can watch from anywhere. Based upon the announcements last week, there will probably be a lot of focus around machine learning and deep learning. Read more

  • Cloud Data Science News in 60, Beta #4

    I have been recording these quick 60 second videos, so I thought I would share on the blog. Read more

  • Cloud Data Science News – Beta #4

    Cloud Data Science News – Beta #4

    In the United States, it is a holiday week, so the news is pretty limited from many of the big cloud providers. Luckily, Amazon has come through with a flurry of machine learning announcements. Amazon is holding their annual re:Invent Conference next week, so maybe these announcements are precursors to some bigger news next week. Read more

  • 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 Read more

  • Challenges of Data Science Projects

    Challenges of Data Science Projects

    It is no secret that data science is difficult. Companies struggle to succeed with data science projects. Even Gartner predicts that by 2022 only 20% of analytics projects will deliver business value. That means about 80% will fail to deliver value. Thus, companies need to be very careful about running data analytics projects. There are Read more

  • Hey Data People, The NIH needs your help

    Hey Data People, The NIH needs your help

    The National Institutes of Health (NIH) is creating a Data Management and Sharing Policy. They are currently looking for input on the policy. The NIH funds a lot of research, and this policy will affect the data and results researchers produce. NIH’s DRAFT Data Management and Sharing Policy: We Need to Hear From You! This Read more

  • Cloud Data Science News – Beta #3

    Cloud Data Science News – Beta #3

    Here are this week’s news and announcements related to Cloud Data Science. Plus, there are some links for Videos and Tutorials. Announcements Google Introduces Explainable AIMany industries require a level of interpretability for their machine learning models. Black box solutions are not always ok. Google is launching Explainable AI which quantifies the impact of the Read more

  • Grow Your Business with these Big Data Strategies

    We are living in the data-driven world where every industry be it healthcare, finance, omnichannel retail, agriculture, logistics and much more runs on data. The data is one of the key essentials for increasing revenues and cost savings. Data can be considered as a tool that is banked on by the organizations for making smarter Read more

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