12 Python Resources for Data Science

12 #Python Resources for #DataScience  #ArtificialIntelligence #MachineLearning #AI

  • About 8,300 articles related to Python have been posted on Data Science Central, according to Google.
  • Below is a small sample — the 12 most useful and popular articles to get started with Python and data science.
  • The Guide to Learning Python for Data Science has been moved here.
  • To receive updates about Python and any other data science topics, sign-up with DSC

About 8,300 articles related to Python have been posted on Data Science Central, according to Google. Below is a small sample — the 12 most useful and popular…
Continue reading “12 Python Resources for Data Science”

Innovation endorsed by Orange: welcome to tomorrow’s world

#Djingo #Chatbot #Watson… #AI is already everywhere in our lives #Vivatech

  • Sharing our vision of the future, including advances in research and innovation.
  • Our goal is to make our innovations accessible to as many people as possible.
  • When technology starts with people and serves people, it makes progress.
  • We also want to promote innovative and responsible uses of digital technologies – prudent innovation – that improve everyday life for everyone.
  • Innovation and periods of rapid change have always raised questions.

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Data Science in Python: Pandas Cheat Sheet

#DataScience in #Python — Pandas Cheat Sheet:  #abdsc #BigData #MachineLearning by @DataCamp

  • This cheat sheet, along with explanations, was first published on DataCamp.
  • To view other cheat sheets (Python, R, Machine Learning, Probability, Visualizations, Deel Learning, Data Science, and so on) click here.
  • To view a better version of the cheat sheet and read the explanations, click here.

This cheat sheet, along with explanations, was first published on DataCamp. Click on the picture to zoom in. To view other cheat sheets (Python, R, Machine Lea…
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Summer Of Machine Learning

A summer of machine learning.

  • For me, a good summer will always mean what they meant during my Ph.D.: four months to grind your heart out — to read 500 journal articles, submit five research papers, or finish that one big project.
  • It is a time when the burden of daily responsibilities and thousand little emergencies lifts and you are free to work on big projects with big goals — to enter the chill of fall better, smarter, and farther than before.
  • I left academia and if there is one thing I miss, it is the summers.
  • However, this summer I am going back to the summers of my Ph.D.: a summer of machine learning.
  • From June 1st to September 30th I will make a four month sprint to become a better data scientist and machine learning engineer, filling the dog days of summer with reading, writing, coding, and running.

Data Science for Political and Social Phenomena
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12 Python Resources for Data Science

12 #Python Resources for #DataScience  #ArtificialIntelligence #MachineLearning #AI

  • About 8,300 articles related to Python have been posted on Data Science Central, according to Google.
  • Below is a small sample — the 12 most useful and popular articles to get started with Python and data science.
  • The Guide to Learning Python for Data Science has been moved here.
  • To receive updates about Python and any other data science topics, sign-up with DSC

About 8,300 articles related to Python have been posted on Data Science Central, according to Google. Below is a small sample — the 12 most useful and popular…
Continue reading “12 Python Resources for Data Science”

New Machine Learning Cheat Sheet by Emily Barry

#MachineLearning Cheat Sheet, the #emoji edition:  #abdsc #BigData #DataScience #AI

  • This blog about machine learning was written by Emily Barry.
  • Emily is a Data Scientist in San Francisco, California.
  • The more she learns about machine learning algorithms, the more challenging it is to keep these subjects organized in her brain to recall at a later time.
  • This is by no means a comprehensive guide to machine learning, but rather a study in the basics for herself and the likely small overlap of people who like machine learning and love emoji as much as she do.
  • For more articles about machine learning, click here.

This blog about machine learning was written by Emily Barry. Emily is a Data Scientist in San Francisco, California. She really loves emoji. Another thing she…
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Concise Visual Summary of Deep Learning Architectures

Concise summary of deep learning neural networks #AI

  • With new neural network architectures popping up every now and then, it’s hard to keep track of them all.
  • RNNs sometimes refer to recursive neural networks, but most of the time they refer to recurrent neural networks.
  • That’s not the end of it though, in many places you’ll find RNN used as placeholder for any recurrent architecture, including LSTMs, GRUs and even the bidirectional variants.
  • Many abbreviations also vary in the amount of “N”s to add at the end, because you could call it a convolutional neural network but also simply a convolutional network (resulting in CNN or CN).
  • Composing a complete list is practically impossible, as new architectures are invented all the time.

This article was written by Fjodor Van Veen. 
With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing…
Continue reading “Concise Visual Summary of Deep Learning Architectures”