• Distill Update 2018
  Reflections on their first year of running a new kind of scientific journal: “We have learned a lot of valuable lessons in our first year, but we still have a lot of room to grow.”...

• AI can now tell your boss what skills you lack—and how you can get them
  Coursera is unveiling a new machine learning tool to show companies what skills their employees are acquiring from its classes and their level of expertise...

• What Data Scientists Really Do, According to 35 Data Scientists
  What, exactly, is it that data scientists do? As the host of the DataCamp podcast DataFramed, I have had the pleasure of speaking with over 30 data scientists across a wide array of industries and academic disciplines. Among other things, I’ve asked them about what their jobs entail...

 
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• A small team of student AI coders beats Google’s machine-learning code
  The success shows that advances in artificial intelligence aren’t the sole domain of elite programmers...

• Differentiable Image Parameterizations
  A powerful, under-explored tool for neural network visualizations and art...

• Ahead by More Than a Nose:
  Progress in Airframe Noise Analysis and Prediction
  Visualization of the air flow field around the nose landing gear of a Boeing 777. The simulation was run on 5,000 Pleiades cores and required over 1 million processor hours, generating over 50 terabytes of data...

• Facebook’s chief AI scientist says that Silicon Valley needs to work more closely with academia to build the future of artificial intelligence
  Facebook's chief AI scientist, Yann LeCun, says that letting AI experts split their time between academia and industry is helping drive innovation...

• Building a text classification model with TensorFlow Hub and Estimators
  In this post, I’ll walk you through building a model to predict the genre of a movie from its description using a TensorFlow Hub text module...

• 9 Things You Should Know About TensorFlow
  This morning I found myself summarizing my favorite bits from a talk that I enjoyed at Google Cloud Next in San Francisco, What’s New with TensorFlow? Then I thought about it for a moment and couldn’t see a reason not to share my super-short summary with you...

• EDA+ Facebook Prophet Forecasting Model
  Extensive example using Prophet to forecast time series (in this case, item-level demand forecasting, which has complex seasonal and holiday effects) ...

• Welcome to Great Expectations!
  What tools exist for automated monitoring of incoming data that are oriented at data scientists/engineers? Like unit testing for data: e.g. "Yesterday the completion rate of courses dropped by 90%" I'm aware of one, Great Expectations...

• Augment the CIFAR10 Dataset Using the RandomHorizontalFlip and RandomCrop Transforms
  Learn how to augment the CIFAR10 Dataset Using the TorchVision RandomHorizontalFlip (transforms.RandomHorizontalFlip) and RandomCrop (transforms.RandomCrop) Transforms, via a screencast video and full tutorial transcript...

• Neural Networks from a Bayesian Perspective
  In this post we’ll discuss different ways to obtain uncertainty in Deep Neural Networks. Let’s start by looking at neural networks from a Bayesian perspective...

• How to install R on Windows, Mac OS X and Ubuntu
  This is a beginner guide that is designed to save yourself a headache and valuable time if you decide to install R yourself...

• The Joy of x: A Guided Tour of Math, from One to Infinity
  "Delightful . . . easily digestible chapters include plenty of helpful examples and illustrations. You'll never forget the Pythagorean theorem again!"...... For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page
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