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Data Science Newsletter | February 2021

By Kiefer Hackney posted Mon February 08, 2021 12:00 AM

  
IBM Data Science Community Newsletter
February 2021 | Volume 3, Issue 2
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Modelling Economic Interventions to Fight Covid-19
How can policymakers use data science principles to understand the effects of economic interventions into a covid economy? IBM's Alvaro Corrales Cano shows the analytical foundation to answering that question using some familiar tools and unfamiliar principles.
AI Skills
Math for Machine Learning
Weights and Biases has put together a YouTube series to teach people the math needed for ML. This is their third video, and it covers probability. It's a nice primer series. Watch the video
Research
Peeking into AI’s ‘Black Box’ Brain — With Physics
Cats aren’t dogs. Even modern AI knows that. But how exactly AI distinguishes cat images from those of dogs is not clear. Standard neural networks are akin to a black box, as even the people who program them often have little to no idea how they make decisions. Read more
Google Trained a Trillion-Parameter AI Language Model
Google say their 1.6-trillion-parameter model, which appears to be the largest of its size to date, achieved an up to 4 times speedup over the previously largest Google-developed language model (T5-XXL). Read more
Can a Fruit Fly Learn Word Embeddings?
Researchers from MIT and IBM study a mathematical formalization of the mushroom body network motif and apply it to learning the correlational structure between words and their context in a corpus of unstructured text, a common natural language processing (NLP) task. Read more
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning
The prevalent existence of cognitive biases in large volumes of historical data can pose a threat of being manifested as unethical and seemingly inhumane predictions as outputs of AI systems trained on such data. To alleviate this problem, we propose a bias-aware multi-objective learning framework  which has been shown to reduce such biases in the predicted emotions. Read more
Tools & Libraries
How the Distribution Industry Can Be Proactive With Personalization
Leverage pre-packaged AI solutions to help anticipate customer needs and deliver superior digital experiences. Read more
Deploy & Scale Pre-trained NLP Models in Minutes with Watson Machine Learning & Hugging Face Transformers
In this blog post, I will show you how you can access the latest pre-trained open source NLP models, and deploy them in a couple lines of code in Watson Machine Learning, both on Cloud or on-premise. Read more
Solutions & Products
Ask a Data Scientist - Perspectives on Enterprise Data Science
A conversation with Data Science industry leaders to gain insight on how Enterprise Data Science can help businesses augment problem-solving work in their organizations, drive greater productivity and efficiency. Watch the replay
See all upcoming community events here.
IBM is a proud sponsor of this episode.
 
Data Council Bangkok (Virtual) Meetup #6: Explainable Workflows Using Python | February 5, 7–8 pm PT | With Austin Eovito (IBM)
 
SF Python Presentation Night | February 10, 6:30–9 pm PT
IBM is proud video sponsor of this event.
 
DC_THURS on Dask with Coiled CEO Matt Rocklin | March 4, 9:30–10:30 am PT
IBM is a proud sponsor of this episode.
 
Women in Data Science (WiDS) Worldwide Conference | March 7 & 8
IBM is a proud WiDS Worldwide Sponsor.
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