Azure Machine Learning Documentation (Preview)

đź“Ł Deploying your machine learning model - from start to finish
 #Dev

  • Learn how to prepare data, and build and deploy models with our quickstarts and tutorials.
  • The preview features of Azure Machine Learning enable building, deploying, and managing ML and AI models using any Python tools and libraries.
  • You can use a wide variety of data and compute services in Azure in order to store and process your data.

Learn how to prepare data, and build and deploy models with our quickstarts and tutorials. The preview features of Azure Machine Learning enable building, deploying, and managing ML and AI models using any Python tools and libraries. You can use a wide variety of data and compute services in Azure in order to store and process your data.
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Scikit-Learn Tutorial Series

9-part Scikit-Learn Tutorial Series:  #abdsc #Python #MachineLearning #BigData #DataScience

  • You need to be a member of Data Science Central to add comments!
  • Added by Tim Matteson 0 Comments 0 Likes
  • Kaggle released a series with tutorials in their blog.
  • Hello, you need to enable JavaScript to use Data Science Central.
  • I recommend to anyone who is starting or want to learn more about the tool.

Kaggle released a series with tutorials in their blog. I recommend to anyone who is starting or want to learn more about the tool.

Intro to machine learning…
Continue reading “Scikit-Learn Tutorial Series”

DSC Top Resources

Top #DataScience Resources at @DataScienceCtrl  #abdsc #BigData #MachineLearning

  • You need to be a member of Data Science Central to add comments!
  • Tutorial: How to Become a Data Scientist – On Your Own
  • Added by Tim Matteson 0 Comments 0 Likes
  • This is just a tiny snapshot, and we have much more to offer – including thousands of articles and forum questions on data science and related topics.
  • Is our updated list of top Data Science Central (DSC) resources, including reference articles and tutorials, top categories, tools and techniques, as well as several useful links (jobs, events, training, webinars, books and so on) and information about our popular newsletter.

Here is our updated list of top Data Science Central (DSC) resources, including reference articles and tutorials, top categories, tools and techniques, as well…
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Hitchhiker’s Guide to Data Science, Machine Learning, R, Python

Hitchhiker's Guide to Data Science, Machine Learning, R, Python

  • In the short contribution, I share what I believe to be the most valuable resources – a small list of top resources and starting points.
  • You could spend months just figuring out what to do to get started, even to understand what data science is about.
  • Originally posted on Data Science Central
  • Thousands of articles and tutorials have been written about data science and machine learning.
  • Some non-standard techniques used in machine-to-machine communications and automated data science, even though technically simpler and more robust, are not included as their use is not widespread, with one exception: turning unstructured into structured data.

Originally posted on Data Science Central
Thousands of articles and tutorials have been written about data science and machine learning. Hundreds of…
Continue reading “Hitchhiker’s Guide to Data Science, Machine Learning, R, Python”

Hugo Larochelle’s neural network & deep learning tutorial videos, subtitled & screengrabbed ~ prooffreader plus

.@hugo_larochelle #NeuralNetwork & #DeepLearning tutorial videos, subtitled & screengrabbed

  • Like a lot of data scientists (I consider myself more of a data spelunker, but I aspire to data science), I try my best to keep up with the latest discoveries in a very fast-changing field; and probably nothing has been as game-changing as the advent of deep learning.
  • used youtube-dl to download the videos and WEBVTT subtitles;
  • Doing data science, I often start loop functions without a clear idea of how long they’ll take.
  • used ffmpeg (from a subprocess call) to add a black letterbox below each video, burn the subtitles into that box and then save png screenshots wherever there was a new subtitle line;
  • Deep Learning, explained to a five-year-old (okay, maybe fifteen-year-old): Data science been really good for a while now at data that can be explained in Excel spreadsheets, i.e. columns and rows: one row per observation, one column per variable.

By David Taylor10:22 AMdeep.learning, learning, machine.learning, neural.networks, pdfs, tutorial, videos4 comments

Continue reading “Hugo Larochelle’s neural network & deep learning tutorial videos, subtitled & screengrabbed ~ prooffreader plus”

Hitchhiker’s Guide to Data Science, Machine Learning, R, Python

  • In the short contribution, I share what I believe to be the most valuable resources – a small list of top resources and starting points.
  • You could spend months just figuring out what to do to get started, even to understand what data science is about.
  • Originally posted on Data Science Central
  • Thousands of articles and tutorials have been written about data science and machine learning.
  • Some non-standard techniques used in machine-to-machine communications and automated data science, even though technically simpler and more robust, are not included as their use is not widespread, with one exception: turning unstructured into structured data.

Originally posted on Data Science Central
Thousands of articles and tutorials have been written about data science and machine learning. Hundreds of…
Continue reading “Hitchhiker’s Guide to Data Science, Machine Learning, R, Python”

Scikit-Learn Tutorial Series – Data Science Central

9-part Scikit-Learn Tutorial Series:  #abdsc #BigData #Python #MachineLearning #DataScience

  • Kaggle released a series with tutorials in their blog.
  • I recommend to anyone who is starting or want to learn more about the tool.
  • by Diego Marinho de Oliveira
  • Data Science Central
  • Scikit-Learn Tutorial Series

Kaggle released a series with tutorials in their blog. I recommend to anyone who is starting or want to learn more about the tool.
Continue reading “Scikit-Learn Tutorial Series – Data Science Central”

Hitchhiker’s Guide to Data Science, Machine Learning, R, Python

Hitchhiker's Guide to #DataScience, #MachineLearning, R, #Python:  #abdsc #BigData

  • In the short contribution, I share what I believe to be the most valuable resources – a small list of top resources and starting points.
  • You could spend months just figuring out what to do to get started, even to understand what data science is about.
  • Originally posted on Data Science Central
  • Thousands of articles and tutorials have been written about data science and machine learning.
  • Some non-standard techniques used in machine-to-machine communications and automated data science, even though technically simpler and more robust, are not included as their use is not widespread, with one exception: turning unstructured into structured data.

Originally posted on Data Science Central
Thousands of articles and tutorials have been written about data science and machine learning. Hundreds of…
Continue reading “Hitchhiker’s Guide to Data Science, Machine Learning, R, Python”

Scikit-Learn Tutorial Series

Scikit-Learn Tutorial Series | #DataScience #MachineLearning #RT

  • You need to be a member of Data Science Central to add comments!
  • Added by Tim Matteson 0 Comments 0 Likes
  • Hello, you need to enable JavaScript to use Data Science Central.
  • Kaggle released a series with tutorials in their blog.
  • I recommend to anyone who is starting or want to learn more about the tool.

Kaggle released a series with tutorials in their blog. I recommend to anyone who is starting or want to learn more about the tool.

Intro to machine learning…
Continue reading “Scikit-Learn Tutorial Series”

The Ultimate List of TensorFlow Resources: Books, Tutorials & More

The ultimate list of #TensorFlow Resources: Books, Tutorials, Libraries and more.

  • Colornet – Neural Network to colorize grayscale images – Neural Network to colorize grayscale images
  • TensorFlow Tutorial 2 – Introduction to deep learning based on Google’s TensorFlow framework.
  • Globally Normalized Transition-Based Neural Networks – This paper describes the models behind SyntaxNet .
  • Highway Network – Tensorflow implementation of “Training Very Deep Networks” with a blog post
  • TensorFlow: A system for large-scale machine learning – This paper describes the TensorFlow dataflow model in contrast to existing systems and demonstrate the compelling performance

A curated list of 50+ awesome TensorFlow resources including tutorials, books, libraries, projects and more.
Continue reading “The Ultimate List of TensorFlow Resources: Books, Tutorials & More”