Here are the latest articles from Microsoft regarding cloud data science products and updates. This week it includes Measuring Model Goodness, a free ebook, AI discovery days, and more AI goodness.
- Measuring Model Goodness – Part 2 – Measurability is an important aspect of the Team Data Science Process (TDSP) as it quantifies how good the machine learning model is for the business and helps gain acceptance from the key stakeholders. In part 1 of this series, we defined a template for …[Read More]
- (RDS) Tip of the Day: Free eBook – The Developer’s Guide to Microsoft Azure eBook – August update is now available – This book includes all the updates from Microsoft Build, along with new services and features announced since … You’ll also see brand new sections on IoT, DevOps and AI/ML that you can take advantage of today.[Read More]
- AI Discovery Days at a Microsoft Location Near You – Join us to learn how to start building intelligence into your solutions with the Microsoft AI platform, including pre-trained AI services like Cognitive Services and Bot Framework, as well as deep learning tools like Azure Machine Learning.[Read More]
- Current use cases for machine learning in retail and consumer goods – Retail and consumer goods companies are seeing the applicability of machine learning (ML … Customers can build artificial intelligence (AI) applications that intelligently process and act on data, often in near real time. This helps organizations …[Read More]
- Describe, diagnose, and predict with IoT Analytics – … in IoT Analytics Machine learning (ML) is playing an increasingly important role in IoT analytics. One could argue that the recent emergence of real-world applications of ML in manufacturing is thanks to the explosion of data, most of which we can …[Read More]
- See How AI is Inspiring the Next Generation of Developers – One other thing most all the winning teams had in common – they used AI as a core part of their solutions. Recent developments have accelerated the application of machine learning technologies … cloud where the Cognitive Services Custom Vision model …[Read More]
- Where is the market opportunity for developers of IoT solutions? – GUI IDEs and data modelers. IoT-specific APIs. Device connectors and protocol adapters. Application security and management services. Note that most IoT … or historical. Pre-built AI/ML models for predictive maintenance, inventory optimization, energy …[Read More]
- Microsoft Translator adds Telugu as a supported language – Microsoft Translator is excited to announce the launch of Telugu, our latest AI-powered text translation language … education, financial services, government services, and many more.[Read More]
A great read for people without an extensive math, statistics or computer science background. And still an interesting read for those people.
The book includes tons of non-technical descriptions for data science terms.
You can download a copy of the book on SlideShare, or you can purchase a paperback copy via Lulu.
A new edition of Mining Massive Datasets is now available. It is used for a number of data mining courses at colleges across the US (and globe). Here are just a few of the topics from the book.
- Recommendation Systems
- Dimensionality Reduction
- Social Network Analysis
O’Reilly just published a free ebook profiling 15 influential women in data science, Women in Data. The book is written by Cornelia Levy-Bencheton.
The following women are profiled in the book:
- Michele Chambers, COO of RapidMiner
- Camille Fournier, CTO of Rent the Runway
- Carla Gentry, CEO of Analytical Solution
- Kelly Hoey, Speaker and Early-stage Investor
- Cindi Howson, VP of Research at Gartner
- Neha Narkhede, Co-founder of Confluent
- Claudia Perlich, Chief Scientist at Dstillery
- Kira Radinsky, Co-founder of SalesPredict
- Gwen Shapira, Software Engineer at Cloudera
- Laurie Skelly, Data Scientist at Datascope
- Kathleen Ting, Technical Account Manager at Cloudera
- Renetta Garrison Tull, Associate Vice Provost of UMBC
- Hanna Wallach, Researcher at Microsoft
- Alice Zheng, Director of Data Science at Dato
- Margit Zwemer, Founder of LiquidLandscape
Markets for Good, an organization focused on performing data science for the social sector, recently released an ebook highlighting their 17 most influential blog posts. The ebook is titled, Markets for Good Selected Readings: Making Sense of Data and Information in the Social Sector.
Here is just a small sampling of the topics you can read about:
- 3 Reasons Why Open Data Will Change the World
- Let Our Data Define Us
- Put Your Data Where Your Mouth Is
If you are interested in how data can be used to help the world, this ebook is a good place to start.
Alteryx is offering the book, Big Data Analytics For Dummies, for free. If you are new to the term big data, this book provides a brief (about 40 pages) overview of the topic and what big data should be able to do for your company.
You have to register, but it is worth it for the free book.
Ron Zacharski is currently writing a data mining book, A Programmer’s Guide to Data Mining. The book is targeted at programmers that want to know when and how to apply recommendation engines and other data mining techniques. The book is still in the writing phase, but I can say the first couple chapters are excellent. The book will always be available for free download.
If you are a programmer that is looking to add some recommendations to a website, I would highly suggest taking a look at this book.
Cosma Shalizi of the Statistics Department at Carnegie Mellon University is working on an Advanced Data Analysis from an Elementary Point of View textbook. A copy of the textbook will remain freely available on the website. Since the textbook is still being created, comments are welcome.