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! https://youtu.be/2d8FV3vEMeY Data Science 101 is … Continue reading IADSS Talk – Who can be a Data Scientist?
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 … Continue reading Challenges of Data Science Projects
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 … Continue reading Hey Data People, The NIH needs your help
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 … Continue reading Cloud Data Science News – Beta #3
[Image source] 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 … Continue reading Grow Your Business with these Big Data Strategies
Introduction to Probability by Joseph Blitzstein and Jessica Hwang is available as a free PDF on Google Docs. The book contains: DistributionsRandom VariablesMarkov ChainsMonte CarloAll the background MathCode Examples in Rand lots more....
After receiving some interest, I have decided to open up the posting more to the data science community. There are more details on the Contribute Page. If there is enough interest, I will be posting community contributed posts on Wednesdays and sponsored posts on Thursdays. What is the difference? Community contributed posts are free and … Continue reading Data Science 101 would like to welcome Community and Sponsored Posts
The news and announcements for doing data science in the cloud. November 15, 2019 edition
Last week at Microsoft Ignite 2019, Microsoft Research announced the release of Project Silica. This is an amazing new technology to store data on a piece of glass. I was lucky enough to get the opportunity to sit down with Antony Rowstron, Deputy Lab Director at Microsoft Research, and ask him all my questions. An … Continue reading Storing Data On a Piece of Glass – Microsoft’s Project Silica
The cloud data science news for November 11, 2019. Microsoft Azure, Google Cloud and AWS announcements.