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Data Science Community News | Volume 2, Issue 2

February 2020 | Volume 2, Issue 2 | Subscribe Spotlight OpenAI—>PyTorch OpenAI is an independent research group who has led the AI community in an assortment of projects ranging from NLP to RL. Their...

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Library Entry
Data Science: Best and Worst Practices

" In this session, a data science leader will provide best practices for your data science project as well as tips to avoid landmines that could cause significant problems." This webcast was produced by Ted Fischer, specialist manager at Deloitte. #DataScienceCommunityDay

Library Entry
Raise the Bar on Data Science ROI by Combining ML & Decision Optimization

"What if you could reduce your planning process from 1 week to 1 hour, or from 1 hour to 1 second? What if you could, at the click of a button, improve your bottom line by double digits? In this session, you will learn to do just that by leveraging IBM's powerful Machine Learning (ML) and...

Library Entry
How to Get a Job in Data Science

" Data science is a massive field that encompasses hundreds of different titles and positions. Newcomers to the field get overwhelmed by the opaqueness of titles, the seemingly large list of requirements, a vast array of tools, and a large number of new trends that people feel they need to be...

Library Entry
Extend SPSS Modeler Capabilities with Open Source

"Extend and embrace open source in SPSS Modeler, to programmatically perform tasks you can’t easily accomplish with out-of-the-box Modeler nodes. In this session, you will learn about the Python and R programming frameworks as implemented in SPSS Modeler V18.1. You will see examples of how...

Library Entry
Automating Data Science Drudgery with Pixiedust

" The Jupyter notebook has quickly become one of data scientists’ favorite tools. When using them in IBM's Watson Studio, you get a complete platform for building an application - from data preparation and analytics to building and deploying machine learning models. Jupyter notebooks are a big...

Library Entry
Data Science at Scale: Platform Decision

" Data science isn’t just creeping into areas of modern business, it’s being targeted in every department. Gone are the days where data science (DS) was a one-off project in hopes to improve a single area of the company. Organizations currently to take advantage of DS advancements in every...

Library Entry
How to Fare Well in Machine Learning Competitions

" This session will introduce Kaggle machine learning competition platform, and describe an effective methodology to fare well on it, developed by a Kaggle Grand Master. The methodology covers data exploratory analysis, feature engineering, model evaluation, and algorithm tuning. Machine...