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Data Science Community Newsletter | August

By Isaiah Brown posted Thu August 06, 2020 05:36 PM

  
IBM Data Science Community NewsletterAugust 2020 | Volume 2, Issue 8

Spotlight
GPT-3 Is Amazing - And Overhyped
GPT-3 is OpenAI's newest generative language model. It has billions of parameters, and the internet is unnerved with what a model that size can do. It is natural for anything so powerful to surprise us, but we probably shouldn't be scared of it. Here is Forbes' breakdown.  

AI Skills

Round Your Machine Learning Skills with IBM Introduction to Machine Learning Specialization
IBM just announced the Introduction to Machine Learning Specialization on Coursera. In this blog, the lead curriculum developer shares how he thinks you can benefit the most from taking these courses. Join IBM's AI Learning Community and get a complimentary month of Coursera. Read more
The Missing Semester of Your CS Degree, by MIT
For those of us who've been missing the full-er stack development skill set to round out your data science background, data science community Contributor Mike Mansour surfaced "The Missing Semester of Your CS Education" from MIT CSAIL & other forums. Read more


Tools & Libraries

Large Scale Experimentation
Data science is supposed to enable intelligent decision-making, but for digital businesses that means a lot of experimentation. The team at StitchFix helps us understand which experiments we should choose. Read more

Solutions & Products

Staying Competitive in the Financial Services Sector
Are you positioned to stay competitive in the age of digital disruption? View the stats and see which companies are staying ahead with the right AI. Read more
IBM Tech TV "Intelligent AI," Episode 2 
Will Roberts and Upkar Lidder walk through the full process to deploy a machine learning model - from data ingestion to REST service. Read more
Hollywood Uses AI and GANs to Create High-Resolution Content Uses AI and GANs to Create High-Resolution Content
Hollywood is no stranger to bringing groundbreaking technology into our homes. They figured how to use Generative Adversarial Networks (GANs) to make their artificial protagonists even more realistic. Read more

Research

Deep Learning Papers Reading Roadmap
To quote this repo's read me "If you are a newcomer to the Deep Learning area, the first question you may have is 'Which paper should I start reading from?'' That's a great question and this is a great list. Read more
Using Neural-Network Soundscapes to Protect Natural Environments
Researchers from Imperial College London, the University of Sydney and Cornel University have found they can use ML to protect large swaths of land. Read more
HOMER: Provable Exploration in Reinforcement Learning
Reinforcement Learning is a field focused on trying to find an optimal policy for action by learning how to navigate an environment(s). This article explains the key findings of a paper introducing a new algorithm for provable RL. Read more
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