Awesome Data Science çalışamasını referans alır.
This part is for dummies who are new to Data Science
This is a shortcut path to start studying Data Science. Just follow the steps to answer the questions, "What is Data Science and what should I study to learn Data Science?"
First of all, Data Science is one of the hottest topics on the Computer and Internet farmland nowadays. People have gathered data from applications and systems until today and now is the time to analyze them. The next steps are producing suggestions from the data and creating predictions about the future. Here you can find the biggest question for Data Science and hundreds of answers from experts.
Secondly, Our favorite programming language is Python nowadays for #DataScience. Python's - Pandas library has full functionality for collecting and analyzing data. We use Anaconda to play with data and to create applications.
Mindmap on required skills (img)
Swami Chandrasekaran made a Curriculum via Metro map.
From this article by Berkeley Science Review.
Data Science Wars: R vs Python
How to select statistical or machine learning techniques
Choosing the Right Estimator
The Data Science Industry: Who Does What
Data Science Venn Diagram
Different Data Science Skills and Roles from this article by Springboard
data.gov - The home of the U.S. Government's open data
enigma.com - Navigate the world of public data - Quickly search and analyze billions of public records published by governments, companies and organizations.
quandl.com - Get the data you need in the form you want; instant download, API or direct to your app.
Open Data Philly Connecting people with data for Philadelphia
A list of useful sources A blog post includes many data set databases
grouplens.org Sample movie (with ratings), book and wiki datasets
UC Irvine Machine Learning Repository - contains data sets good for machine learning
MapLight - provides a variety of data free of charge for uses that are freely available to the general public. Click on a data set below to learn more
GHDx - Institute for Health Metrics and Evaluation - a catalog of health and demographic datasets from around the world and including IHME results
StackExchange Data Explorer - an open source tool for running arbitrary queries against public data from the Stack Exchange network.
Wes McKinney - Wes McKinney Archives.
Matthew Russell - Mining The Social Web.
Greg Reda - Greg Reda Personal Blog
Kevin Davenport - Kevin Davenport Personal Blog
Julia Evans - Recurse Center alumna
Hakan Kardas - Personal Web Page
Sean J. Taylor - Personal Web Page
Drew Conway - Personal Web Page
Hilary Mason - Personal Web Page
Noah Iliinsky - Personal Blog
Matt Harrison - Personal Blog
Data Science Renee Documenting my path from "SQL Data Analyst pursuing an Engineering Master's Degree" to "Data Scientist"
Vamshi Ambati - AllThings Data Sciene
Prash Chan - Tech Blog on Master Data Management And Every Buzz Surrounding It
Clare Corthell - The Open Source Data Science Masters
Paul Miller Based in the UK and working globally, Cloud of Data's consultancy services help clients understand the implications of taking data and more to the Cloud.
Data Science London Data Science London is a non-profit organization dedicated to the free, open, dissemination of data science.
We are the largest data science community in Europe.
We are more than 3,190 data scientists and data geeks in our community.
Datawrangling by Peter Skomoroch. MACHINE LEARNING, DATA MINING, AND MORE
John Myles White Personal Blog
Quora Data Science - Data Science Questions and Answers from experts
Siah a PhD student at Berkeley
Data Science Report MDS, Inc. Helps Build Careers in Data Science, Advanced Analytics, Big Data Architecture, and High Performance Software Engineering
Louis Dorard a technology guy with a penchant for the web and for data, big and small
Machine Learning Mastery about helping professional programmers to confidently apply machine learning algorithms to address complex problems.
Daniel Forsyth - Personal Blog
Data Science Weekly - Weekly News Blog
Revolution Analytics - Data Science Blog
R Bloggers - R Bloggers
The Practical Quant Big data
Micheal Le Gal a data enthusiast who gets hooked on solving intriguing problems and crafting beautiful stories and visualizations with data. Over the past 5 years, He haas applied statistics to solve problems in government, brain sciences, and most recently, retail.
Datascope Analytics data-driven consulting and design
Yet Another Data Blog Yet Another Data Blog
Spenczar a data scientist at Twitch. I handle the whole data pipeline, from tracking to model-building to reporting.
KD Nuggets Data Mining, Analytics, Big Data, Data, Science not a blog a portal
Meta Brown - Personal Blog
Data Scientist is building the data scientist culture.
WhatSTheBigData is some of, all of, or much more than the above and this blog explores its impact on information technology, the business world, government agencies, and our lives.
Mic Farris Focusing on science, datascience, business, technology, and channeling inner geekness!
Tevfik Kosar - Magnus Notitia
New Data Scientist How a Social Scientist Jumps into the World of Big Data
Harvard Data Science - Thoughts on Statistical Computing and Visualization
Data Science 101 - Learning To Be A Data Scientist
P-value - Musings on data science, machine learning and stats.
FlowingData - Visualization and Statistics
i am trask - A Machine Learning Craftsmanship Blog
Vademecum of Practical Data Science - Handbook and recipes for data-driven solutions of real-world problems
Dataconomy - A blog on the new emerging data economy
Springboard - A blog with resources for data science learners
Analytics Vidhya - A full-fledged website about data science and analytics study material.
Occam's Razor - Focused on Web Analytics.
Data School - Data science tutorials for beginners!
Colah's Blog - Blog for understanding Neural Networks!
Sebastian's Blog - Blog for NLP and transfer learning!
Distill - Dedicated to clear explanations of machine learning!
Chris Albon's Website - Data Science and AI notes
The Art of Data Usability - Early access
Exploring Data Science - free eBook sampler
Exploring the Data Jungle - free eBook sampler
Math for Programmers Early access
R in Action, Third Edition Early access
Big Data Combine - Rapid-fire, live tryouts for data scientists seeking to monetize their models as trading strategies
Big Data Mania - Data Viz Wiz | Data Journalist | Growth Hacker | Author of Data Science for Dummies (2015)
Big Data Science - Big Data, Data Science, Predictive Modeling, Business Analytics, Hadoop, Decision and Operations Research.
Charlie Greenbacker - Director of Data Science at @ExploreAltamira
Chris Said - Data scientist at Twitter
Clare Corthell - Dev, Design, Data Science @mattermark #hackerei
DADI Charles-Abner - #datascientist @Ekimetrics. , #machinelearning #dataviz #DynamicCharts #Hadoop #R #Python #NLP #Bitcoin #dataenthousiast
Data Science Central - Data Science Central is the industry's single resource for Big Data practitioners.
Data Science London Data Science. Big Data. Data Hacks. Data Junkies. Data Startups. Open Data
Data Science Renee - Documenting my path from SQL Data Analyst pursuing an Engineering Master's Degree to Data Scientist
Data Science Report - Mission is to help guide & advance careers in Data Science & Analytics
Data Science Tips - Tips and Tricks for Data Scientists around the world! #datascience #bigdata
Data Vizzard - DataViz, Security, Military
DJ Patil - White House Data Chief, VP @ RelateIQ.
Drew Conway - Data nerd, hacker, student of conflict.
Emilio Ferrara - #Networks, #MachineLearning and #DataScience. I work on #Social Media. Postdoc at @IndianaUniv
Erin Bartolo - Running with #BigData--enjoying a love/hate relationship with its hype. @iSchoolSU #DataScience Program Mgr.
Greg Reda Working @ GrubHub about data and pandas
Gregory Piatetsky - KDnuggets President, Analytics/Big Data/Data Mining/Data Science expert, KDD & SIGKDD co-founder, was Chief Scientist at 2 startups, part-time philosopher.
Hakan Kardas - Data Scientist
Hilary Mason - Data Scientist in Residence at @accel.
Jeff Hammerbacher ReTweeting about data science
John Myles White Scientist at Facebook and Julia developer. Author of Machine Learning for Hackers and Bandit Algorithms for Website Optimization. Tweets reflect my views only.
Juan Miguel Lavista - Principal Data Scientist @ Microsoft Data Science Team
Julia Evans - Hacker - Pandas - Data Analyze
Kim Rees - Interactive data visualization and tools. Data flaneur.
Kirk Borne - DataScientist, PhD Astrophysicist, Top #BigData Influencer.
Linda Regber - Data story teller, visualizations.
Luis Rei - PhD Student. Programming, Mobile, Web. Artificial Intelligence, Intelligent Robotics Machine Learning, Data Mining, Natural Language Processing, Data Science.
Mark Stevenson - Data Analytics Recruitment Specialist at Salt (@SaltJobs) | Analytics - Insight - Big Data - Datascience
Matt Harrison - Opinions of full-stack Python guy, author, instructor, currently playing Data Scientist. Occasional fathering, husbanding, ult|goalt-imate, organic gardening.
Matthew Russell - Mining the Social Web.
Mert Nuhoğlu Data Scientist at BizQualify, Developer
Monica Rogati - Data @ Jawbone. Turned data into stories & products at LinkedIn. Text mining, applied machine learning, recommender systems. Ex-gamer, ex-machine coder; namer.
Paul Miller - Cloud Computing/ Big Data/ Open Data Analyst & Consultant. Writer, Speaker & Moderator. Gigaom Research Analyst.
Peter Skomoroch - Creating intelligent systems to automate tasks & improve decisions. Entrepreneur, ex Principal Data Scientist @LinkedIn. Machine Learning, ProductRei, Networks
Prash Chan - Solution Architect @ IBM, Master Data Management, Data Quality & Data Governance Blogger. Data Science, Hadoop, Big Data & Cloud.
Quora Data Science Quora's data science topic
R-Bloggers - Tweet blog posts from the R blogosphere, data science conferences and (!) open jobs for data scientists.
Randy Olson - Computer scientist researching artificial intelligence. Data tinkerer. Community leader for @DataIsBeautiful. #OpenScience advocate.
Recep Erol - Data Science geek @ UALR
Ryan Orban - Data scientist, genetic origamist, hardware aficionado
Sean J. Taylor - Social Scientist. Hacker. Facebook Data Science Team. Keywords: Experiments, Causal Inference, Statistics, Machine Learning, Economics.
Silvia K. Spiva - #DataScience at Cisco
Harsh B. Gupta - Data Scientist at BBVA Compass
Spencer Nelson - Data nerd
Talha Oz - Enjoys ABM, SNA, DM, ML, NLP, HI, Python, Java. Top percentile kaggler/data scientist
Tasos Skarlatidis - Complex Event Processing, Big Data, Artificial Intelligence and Machine Learning. Passionate about programming and open-source.
Terry Timko - InfoGov; Bigdata; Data as a Service; Data Science; Open, Social & Business Data Convergence
Tony Baer - IT analyst with Ovum covering Big Data & data management with some systems engineering thrown in.
Tony Ojeda - Data Scientist | Author | Entrepreneur. Co-founder @DataCommunityDC. Founder @DistrictDataLab. #DataScience #BigData #DataDC
Wes McKinney - Pandas (Python Data Analysis library).
WileyEd - Senior Manager - @Seagate Big Data Analytics | @McKinsey Alum | #BigData + #Analytics Evangelist | #Hadoop, #Cloud, #Digital, & #R Enthusiast
Data School - Data Science Education
Open Data Science – First Telegram Data Science channel. Covering all technical and popular staff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former.
Loss function porn — Beautiful posts on DS/ML theme with video or graphic vizualization.
Machinelearning – Daily ML news.
ML Workspace - All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a Docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).
neptune.ml -> Community-friendly platform supporting data scientists in creating and sharing machine learning models. Neptune facilitates teamwork, infrastructure management, models comparison and reproducibility.
steppy -> Lightweight, Python library for fast and reproducible machine learning experimentation. Introduces very simple interface that enables clean machine learning pipeline design.
steppy-toolkit -> Curated collection of the neural networks, transformers and models that make your machine learning work faster and more effective.
Datalab from Google easily explore, visualize, analyze, and transform data using familiar languages, such as Python and SQL, interactively.
Hortonworks Sandbox is a personal, portable Hadoop environment that comes with a dozen interactive Hadoop tutorials.
R is a free software environment for statistical computing and graphics.
RStudio IDE – powerful user interface for R. It’s free and open source, works onWindows, Mac, and Linux.
Python - Pandas - Anaconda Completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing
Scikit-Learn Machine Learning in Python
NumPy NumPy is fundamental for scientific computing with Python. It supports large, multi-dimensional arrays and matrices and includes an assortment of high-level mathematical functions to operate on these arrays.
SciPy SciPy works with NumPy arrays and provides efficient routines for numerical integration and optimization.
Data Science Toolbox - Coursera Course
Data Science Toolbox - Blog
Wolfram Data Science Platform Take numerical, textual, image, GIS or other data and give it the Wolfram treatment, carrying out a full spectrum of data science analysis and visualization and automatically generating rich interactive reports—all powered by the revolutionary knowledge-based Wolfram Language.
Sense Data Science Development Platform A New Cloud Platform for Data Science and Big Data Analytics
Datadog Solutions, code, and devops for high-scale data science.
Kite Development Kit The Kite Software Development Kit (Apache License, Version 2.0), or Kite for short, is a set of libraries, tools, examples, and documentation focused on making it easier to build systems on top of the Hadoop ecosystem.
Domino Data Labs Run, scale, share, and deploy your models — without any infrastructure or setup.
Apache Flink A platform for efficient, distributed, general-purpose data processing.
Apache Hama Apache Hama is an Apache Top-Level open source project, allowing you to do advanced analytics beyond MapReduce.
Weka Weka is a collection of machine learning algorithms for data mining tasks.
Octave GNU Octave is a high-level interpreted language, primarily intended for numerical computations.(Free Matlab)
Apache Spark Lightning-fast cluster computing
Hydrosphere Mist - a service for exposing Apache Spark analytics jobs and machine learning models as realtime, batch or reactive web services.
Caffe Deep Learning Framework
Torch A SCIENTIFIC COMPUTING FRAMEWORK FOR LUAJIT
Skale - High performance distributed data processing in NodeJS
Aerosolve - A machine learning package built for humans.
Intel framework - Intel® Deep Learning Framework
Tensor Flow - TensorFlow is an Open Source Software Library for Machine Intelligence
Julia – high-level, high-performance dynamic programming language for technical computing
IJulia – a Julia-language backend combined with the Jupyter interactive environment
Apache Zeppelin - Web-based notebook that enables data-driven,
interactive data analytics and collaborative documents with SQL, Scala and more
Featuretools - An open source framework for automated feature engineering written in python
Optimus - Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
Albumentations - А fast and framework agnostic image augmentation library that implements a diverse set of augmentation techniques. Supports classification, segmentation, detection out of the box. Was used to win a number of Deep Learning competitions at Kaggle, Topcoder and those that were a part of the CVPR workshops.
DVC - An open-source data science version control system. It helps track, organize and make data science projects reproducible. In its very basic scenario it helps version control and share large data and model files.
Lambdo is a workflow engine which significantly simplifies data analysis by combining in one analysis pipeline (i) feature engineering and machine learning (ii) model training and prediction (iii) table population and column evaluation.
Feast - A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving.
Polyaxon - A platform for reproducible and scalable machine learning and deep learning.
Opendata-tools - list of open source data visualization tools
NetworkX - High-productivity software for complex networks
C3 - D3-based reusable chart library
TensorWatch - Debugging and visualization for data science and machine learning
ICML - International Conference on Machine Learning
Journal of Data Science - an international journal devoted to applications of statistical methods at large
datatau.com/news - Like Hacker News, but for data
Medium Data Science Topic - Data Science related publications on medium
Some data mining competition platforms