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Data Science Community Newsletter | July

By Christina Howell posted Tue July 14, 2020 07:42 PM

  
IBM Data Science Community Newsletter
July 2020 | Volume 2, Issue 7
The AI Ladder: Accelerate Your Journey to AI
Authors Rob Thomas and Paul Zikopoulos from IBM, in conjunction with O'Reilly Media. The book introduces audiences to the AI Ladder—a unified, prescriptive approach from IBM designed to help organizations understand where they are in their AI journey and what steps they need to take next.
  

AI Skills
The AI Factory
Your org can overcome  inhibitors to successfully scaling AI by combining data, people, processes, product, and platform in an AI Factory. Dr. Susara van den Heever talks about the skills and processes needed to do so. Read more
The AI Ladder: A Framework for Deploying AI in your Enterprise
This course is live now on Coursera. After completing this course, business and technical professionals will be able to explain and describe each of the steps required to ensure success when they build and deploy AI solutions in thier business enterprise. Read more
Mean Squared Terror: GridSearch is Not Enough
This course is live now on Coursera. After completing this course, business and technical professionals will be able to explain and describe each of the steps required to ensure success when they build and deploy AI solutions in thier business enterprise. Read more

Tools & Libraries
Introducing Koalas 1.0
This week Databricks released 1.0 of Koalas - an open-source project to make PySparks dataframe API compatible with Pandas. Check out their newly released features if you're ready to start scaling your workloads. Read more
Innovating versus Doing: NLP and CORD19
Chasing SOTA-status is not the immediate goal of a data scientist, creating business value is. This blog covers some of the issues a data scientist may face while trying to solve their problem, and how to work through it. Read more

Solutions & Products
Operationalizing Artificial Intelligence on Cloud Pak for Data with IBM's Data Science Elite Team
Cloud Pak for Data lets data science teams build their products in scalable, virtualized environments so they can get the data they need, train models quickly, and drive change for their business easily. Read more

Research
Generalization Through Memorization: Nearest Neighbor Language Models
Earlier this year, Stanford and a team from Facebook presented this paper at ICLR 2020. It's their findings on how speeding up NLP Deep Language Models with a Simple KNN, and no additional training. Read more
See all upcoming community events here.
July 8, 6–7 pm ET
Learn about understanding and removing unfair bias in machine learning with Upkar Lidder (IBM).
July 8, 7–9 pm PT
Once again, IBM Data Science Community is proud to be the video sponsor
July 9, 6–7:30 pm PT
Learn about explainable workflows using Python with Austin Eovito (IBM).
July 9, 6–8 pm CT
Learn about AutoML with Paco Nathan. YouTube livestream available!
July 11, 7:30–9 pm IST
Learn about AI Fairness 360 with Upkar Lidder (IBM).
Tuesday, July 14, 12 pm ET

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Comments

shahbaaz jagirdaar
Sun July 19, 2020 01:18 PM

Thanks for sharing good information