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Data Science at the Command Line
This is the website for Data Science at the Command Line, published by O’Reilly October 2014 First Edition. This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.
books  cli  datascience  linux  commandline  python  machinelearning 
21 days ago by geetarista
Archives - Data Prism
Browse back issues of Data Prism.
datascience 
27 days ago by geetarista
Top 15 Scala Libraries for Data Science in 2018 | ActiveWizards: data science and engineering lab
In our previous articles, we have discussed the <a href="blog/top-15-libraries-for-data-science-in-python/" target="_blank">top Python libraries for data science</a>. This time we will focus on Scala, which has recently become another prominent language for data scientists.
datascience  scala 
4 weeks ago by geetarista
Improving your data science workflow with Docker - Unsupervised Pandas
Data scientists looking to learn Docker can get a brief intro and a look at how to improve your workflow
machinelearning  docker  datascience  python 
6 weeks ago by geetarista
A Zero-Math Introduction to Markov Chain Monte Carlo Methods
For many of us, Bayesian statistics is voodoo magic at best, or completely subjective nonsense at worst. Among the trademarks of the Bayesian approach, Markov chain Monte Carlo methods are especially…
bigdata  statistics  datascience  montecarlo 
7 weeks ago by geetarista
Free Data Ebook Archive - O'Reilly Media
An archive of all O'Reilly data ebooks is available below for free download. Dive deep into the latest in data science and big data, compiled by O'Reilly editors, authors, and Strata speakers.
books  free  ebooks  datascience  bigdata 
11 weeks ago by geetarista
A Guide to Natural Language Processing - Federico Tomassetti - Software Architect
Natural Language Processing (NLP) offers amazing possibilities to elaborate text and extract information from it. This guide is a complete overview of NLP.
machinelearning  nlp  datascience 
november 2017 by geetarista
Deep Learning: Basic Mathematics for Deep Learning – Towards Data Science – Medium
Before getting started with neural networks and deep learning, lets discuss about the basic mathematics required to understand them. I will try to cover some important mathematics topic that would be…
machinelearning  math  datascience 
october 2017 by geetarista
Python is the fastest growing programming language due to a feature you've never heard of
Python is the fastest growing programming language due to a feature you've never heard of
python  datascience 
october 2017 by geetarista
Becoming a 10x Data Scientist - Algorithmia
Borrowing tips and tricks from software developers, learn how to create a more productive workflow on the journey to becoming a 10X Data Scientist.
datascience 
september 2017 by geetarista
The Icewind Dale Problem — koaning.io
Title: The Icewind Dale Problem; Date: 2017-07-16; Author: Vincent D. Warmerdam
games  statistics  datascience  python 
august 2017 by geetarista
gonum/gonum: Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
golang  datascience  statistics  math 
august 2017 by geetarista
A Beginner’s Guide to AI/ML 🤖👶 – Machine Learning for Humans – Medium
The ultimate guide to machine learning. Simple, plain-English explanations accompanied by math, code, and real-world examples.
machinelearning  math  ai  datascience 
august 2017 by geetarista
Questions - mldatageek
Machine Learning & Data Science technical interview questions
interview  datascience  machinelearning  analytics 
august 2017 by geetarista
Top 15 Python Libraries for Data Science in 2017 – ActiveWizards: machine learning company – Medium
As Python has gained a lot of traction in the recent years in Data Science industry, I wanted to outline some of its most useful libraries for data scientists and engineers, based on recent…
datascience  python 
august 2017 by geetarista
How Airbnb Democratizes Data Science With Data University
Data University is data education for anyone at Airbnb that scales by role and team. Our vision is to empower every employee to make data informed decisions.
datascience 
august 2017 by geetarista
A practical explanation of a Naive Bayes classifier | MonkeyLearn Blog
Naive Bayes is a family of simple but powerful machine learning algorithms that use probabilities and Bayes’ Theorem to predict the category of a text or
machinelearning  statistics  bayes  datascience 
july 2017 by geetarista
mehrdadn/SOTA-Py: A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem
SOTA-Py - A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem
python  datascience 
july 2017 by geetarista
Essential Cheat Sheets for Machine Learning and Deep Learning Engineers
Learning machine learning and deep learning is difficult for newbies. As well as deep learning libraries are difficult to understand. I am creating a repository on Github(cheatsheets-ai) with cheat…
machinelearning  datascience  cheatsheet 
july 2017 by geetarista
Hedge Fund Uses Algae to Reap 21% Return - Bloomberg
Hedge fund manager Desmond Lun’s 21 percent average return over the last four years springs from an unlikely source -- a petri dish of algae.
biology  datascience  algae 
july 2017 by geetarista
Tensors Explained Intuitively: Covariant, Contravariant, Rank - YouTube
Tensors of rank 1, 2, and 3 visualized with covariant and contravariant components. My Patreon page is at https://www.patreon.com/EugeneK
math  datascience  tensors  physics 
july 2017 by geetarista
The Brain as Computer: Bad at Math, Good at Everything Else - IEEE Spectrum
Modeling computers after the brain could revolutionize robotics and big data
science  ai  brain  technology  computing  datascience 
july 2017 by geetarista
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