Book: Machine Learning Algorithms From Scratch

Book: Machine Learning Algorithms From Scratch

  • From First Principles With Pure Python and – – Use them on Real-World Datasets – – You must understand algorithms to get good at machine learning.
  • In this mega Ebook written in the friendly Machine Learning Mastery style that you’re used to, finally cut through the math and learn exactly how machine learning algorithms work.
  • I’ve written books on algorithms, won and ranked in the top 10% in machine learning competitions, consulted for startups and spent a long time working on systems for forecasting tropical cyclones.
  • (yes I have written tons of code that runs operationally) – – I get a lot of satisfaction helping developers get started and get really good at machine learning.
  • I teach an unconventional top-down and results-first approach to machine learning where we start by working through tutorials and problems, then later wade into theory as we need it.

Discover How to Code Machine Algorithms
From First Principles With Pure Python and
Use them on Real-World Datasets

$37 USD
You must understand algorithms t…
Continue reading “Book: Machine Learning Algorithms From Scratch”

Book: Machine Learning Algorithms From Scratch

Book: #MachineLearning Algorithms From Scratch

  • From First Principles With Pure Python and

    Use them on Real-World Datasets

    You must understand algorithms to get good at machine learning.

  • In this mega Ebook written in the friendly Machine Learning Mastery style that you’re used to, finally cut through the math and learn exactly how machine learning algorithms work.
  • I’ve written books on algorithms, won and ranked in the top 10% in machine learning competitions, consulted for startups and spent a long time working on systems for forecasting tropical cyclones.
  • (yes I have written tons of code that runs operationally)

    I get a lot of satisfaction helping developers get started and get really good at machine learning.

  • I teach an unconventional top-down and results-first approach to machine learning where we start by working through tutorials and problems, then later wade into theory as we need it.

Discover How to Code Machine Algorithms
From First Principles With Pure Python and
Use them on Real-World Datasets

$37 USD
You must understand algorithms t…
Continue reading “Book: Machine Learning Algorithms From Scratch”

12 Python Resources for Data Science

A plethora of #Python Resources for #DataScience:  #abdsc #BigData #MachineLearning

  • 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”

12 Algorithms Every Data Scientist Should Know

The world of #machinelearning algorithms —@analyticbridge #AI

  • A rather comprehensive list of algorithms can be found here.
  • Many are posted and available for free on Github or developers with over 800 algorithms, though you have to pay a fee to access them.
  • You can find the original article, here.
  • For other articles about algorithms, click here.

A rather comprehensive list of algorithms can be found here. Many are posted and available for free on Github or Stackexchange. Algoritmia provides developers…
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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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Concise Visual Summary of Deep Learning Architectures

Concise Visual Summary of #DeepLearning Architectures #abdsc

  • 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…
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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”