• What we learned from NeurIPS 2019 data
  NeurIPS has quadrupled in the last five years. This year, we had 6,743 submissions after filtering (down to 6,614 at notification time), amounting to more than 20,000 reviews written by more than 4,500 reviewers. The overall acceptance rate this year was 21.6%, corresponding to 1428 accepted papers. Given this overwhelming growth, we decided to take a look at the data and see what we can learn from it...

• R & Python: A Love Story
  Many Data Science teams today are bilingual, leveraging both R and Python in their work. While both languages have unique strengths, teams frequently struggle to use them together. To help Data Science teams solve these problems, and in line with our ongoing mission to support the open-source data science ecosystem, we’ve made the love story between R and Python a happier one...

• A new way to make quadratic equations easy
  Many former algebra students have painful memories of struggling to memorize the quadratic formula. A new way to derive it, overlooked for 4,000 years, is so simple it eliminates the need...

Become a Data Analyst with Thinkful

The Data Analytics program is for people who are starting from the very beginning. Learn how to scrape, collect and analyze data, use SQL and Tableau, and get an introduction to Python. We'll get you a job within six months of graduating or you'll get your tuition back.

• Predicting Opponent Strategy in StarCraft
  This project attempts to predict an opponent’s strategy in StarCraft using real, in-game observations through a Bayesian network model...

• Extraordinary Link Between Deep Neural Networks & Nature of the Universe
  Nobody understands why deep neural networks are so good at solving complex problems. Now physicists say the secret is buried in the laws of physics...

• Predicting Shelter Dog Outcomes
  My goal was to give every single shelter dog a chance to find a home by using Data Science tools to help shelters customize their adoption efforts to maximize their adoptions. By using the methods discussed below, I was able to discern which dogs were less likely to be adopted and measures that can be taken to increase their chances of adoption...

• LIGHT: Learning in Interactive Games with Humans and Text
  The LIGHT project is a large-scale fantasy text adventure game research platform for training agents that can both talk and act, interacting either with other models or with humans...

• Building and Deploying a Data Science Project in Two weeks
  Learn the basics of Natural Language Processing, Flask and ML Model Deployment by building something fun!...

• 30 Influential AI Presentations from 2019
  We are incredibly grateful to have had the leading minds in AI & Deep Learning present their latest work at our summits in San Francisco, Boston, Montreal and more, so we thought we would share thirty of our highlight videos with you as we think everybody needs to see them!...

• Building a machine learning classifier model for diabetes
  The objective of this project is to build a predictive machine learning model to predict based on diagnostic measurements whether a patient has diabetes. This is a binary (2-class) classification project with supervised learning...

• Understanding searches better than ever before
  BERT, our new way for Google Search to better understand language, is now rolling out to over 70 languages worldwide...

• Training Agents using Upside-Down Reinforcement Learning
  RL algorithms either predict rewards with value functions or maximize them using policy search. We study an alternative: Upside-Down RL, that solves RL problems primarily using supervised learning...

 
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• Manager, Data Science - JetBlue - Long Island City, NY
  
  JetBlue is seeking a Data Science Manager to lead a team of data scientists who will design experiments and develop machine learning models to address the company’s most complex data problems. We are looking for an experienced data scientist with broad knowledge of machine learning and statistical techniques. This individual will establish best practices for data science workflows and knows how to create an environment that enables data scientists to perform at their best. Beyond a great culture, the benefits (free flights!) are hard to beat...

        Want to post a job here? Email us for details >> team@datascienceweekly.org

• Plotnine: Grammar of Graphics for Python
  A translation of the visualisation chapters from “R for Data Science” to Python using Plotnine and Pandas...

• Visualizing the Geometric and Harmonic Means
  Long after I learned how to calculate the geometric and harmonic means, I was still unclear about what exactly they were doing for me. I ended up clarifying this to myself by generating a series of visualizations which I’ll show you in this post...

• NeurIPS - Talks & Slides are all online
  Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. All the presented content is available online here...

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