Just released this week, Nuts about Data, is a fun introductory book about the data science process. Meor Amer tells a witty story about squirrels, mining for nuts, teamwork, and survival. It brings together the entire data science lifecycle from asking questions to final storytelling.
It is a quick read and really fun. I highly recommend it and hope you enjoy it.
The competition site Kaggle has recently released some micro-courses aimed at helping people to quickly learn the skills of data science. It is called Kaggle Learn, Faster Data Science Education. It includes courses on:
Check them out to quickly get up to speed. Happy Learning.
A new online conference focused on cloud data technologies is coming this fall. It is not just a conference or webinar, it will be an interactive online platform. The focus of the event is data in the cloud (migrating, storing and machine learning). You can pre-register for the conference now.
Some of the topics from the summit include:
Here is an excerpt from the website:
The public cloud has drastically changed systems design, enabled microservices, and lowered the barrier to entry for big data & analytics.
Learn from companies which have migrated data platforms from on-premise to the cloud. See how they were redesigned to take advantage of endless storage and compute power.
Immerse yourself with the platforms which make modern Data Science and Machine Learning possible. Join your peers to see how their data platforms knocked down the old barriers and transformed how they work
Online courses are a great way to share knowledge with others; that is why I have decided to launch a few courses. The first course is Intro to Azure ML Studio – Regression. This is a smaller course and should take about 2 hours to complete.
Azure ML Studio is a drag-and-drop interface for doing machine learning.
Topics are all based upon Azure ML Studio, and they include:
Avrim Blum, John Hopcroft, and Ravindran Kannan wrote the book, Foundations of Data Science (PDF download). It is free and available for download. It can be useful for academic work or in business. It covers topics such as:
Microsoft Build 2019 – This is a huge conference hosted by Microsoft for the developer community. Many of the presentation are available to watch online. Not all are data science/AI related, but many are.
Google I/O 2019 Videos – Google’s big annual conference. Nearly all of the sessions are recorded. There are lots of AI talks and demos.
AWS DeepRacer – Learn reinforcement learning by programming an autonomous car and competing in races.