Curated List of 100+ Data Science resources for practitioners
4 min readJan 3, 2018
Walking in dark might be fun sometimes but not when we have an agenda in mind. So, it is better to be hawk-eyed on the list of resources mentioned below and I shall keep updating it every now and then. Currently this list is jumbled up but I shall very soon segregate it into Categories, as it has various top-rated blogs/authors, ML/AI expert papers and links to terabytes of data repositories. Let’s now embrace all that we have been gifted with till 2017:
- Data Piques
- Data School
- Data Science 101
- AI3, Theory, Practice and Business
- Data Science @ Facebook
- Cloudera Data Science Posts
- Colah’s blog
- Connect with Data Science
- Daniel Forsyth
- Daniel Homola
- Daniel Nee
- Data Based Inventions
- Scientific Data Repositories
- Data Labs
- Data Miners Blog
- Data Mining Research
- Data Mining: Text Mining, Visualization and Social Media
- Andrey Kurenkov
- Anton Lebedevich’s Blog
- Avi Singh
- Towards Data Science
- Beautiful Data
- Beckerfuffle
- Becoming A Data Scientist
- Big-Ish Data
- Snippy Hollow
- Blog on neural networks
- UC Irvine ML Repository
- Bugra Akyildiz
- Archaeological Data Repositories
- Aifred
- Carl Shan
- Christophe Bourguignat
- BrainStation
- Tirthajyoti Sarkar
- Christopher Nguyen
- A Blog From a Human-engineer-being
- Aakash Japi
- Advanced Analytics & R
- Statistics (Probability) by MIT OpenCourseWare
- Statistics by Harvard University
- Adventures in Data Land
- Agile Data Science
- Ahmed El Deeb
- OpenRefine
- Airbnb Data blog
- Alex Perrier
- Carlos E. Perez
- Analytics Vidhya
- Analyzing Life | Data Analytics Tutorials & Experiments for Layman
- Andreas Müller
- Andrej Karpathy blog
- David Mimno
- Dayne Batten
- Deep Learning
- Deep Learning
- Deep Learning Networks
- Deepdish
- Synced
- Drive.ai
- RE.WORK
- Delip Rao
- DENNY’S BLOG
- District Data Labs
- Diving into data
- Domino Data Lab’s blog
- Dr. Randal S. Olson
- Drew Conway
- Dustin Tran
- Edwin Chen
- EFavDB
- Emilio Ferrara, Ph.D
- Entrepreneurial Geekiness
- Eric Jonas
- Eric Siegel
- Erik Bern
- Data Science Tutorials
- Data Science Vademecum
- David Silver
- Dataaspirant
- Dataclysm
- DataGenetics
- Comet Labs Research Team
- Dataiku
- DataKind
- DataLook
- Dataquest Blog
- DataRobot
- Datascope
- Dato Blog
- Randy Zwitch
- RaRe Technologies
- Rayli.Net
- Revolutions
- Rinu Boney
- RNDuja Blog
- Robert Chang
- Rocket-Powered Data Science
- samim
- Sean J. Taylor
- Sebastian Raschka
- Sebastian Ruder
- Sebastian’s slow blog
- 20 Big Data Repositories
- Shakir’s Machine Learning Blog
- Simply Statistics
- Startup.ML Blog
- Stigler Diet
- Stitch Fix Tech Blog
- Storytelling with Statistics on Quora
- Case Western Reserve Data set Repositories
- PyImageSearch Blog
- Data Science Central
- StreamHacker
- Subconscious Musings
- TechNet
- TechnoCalifornia
- TEXT ANALYSIS BLOG | AYLIEN
- The Angry Statistician
- Data Structure and Algorithms by MIT OpenCourseWare
- The Clever Machine
- The Data Camp Blog
- Carnegie Mellon University Dataset Library
- The Data Incubator
- The Data Science Lab
- THE ETZ-FILES
- The Science of Data
- The Shape of Data
- The unofficial Google Data Science Blog
- Tombone’s Computer Vision Blog
- Trevor Stephens
- Trey Causey
- UW Data Science Blog
- Wellecks
- 70 Websites for Large Datasets by Baiju
- Wes McKinney
- While My MCMC Gently Samples
- WildML
- Will do stuff for stuff
- WILL’S NOISE
- William Lyon
- Yanir Seroussi
- Zac Stewart
- ŷhat
- ℚuantitative √ourney
- 大トロ
- My thoughts on Data science, predictive analytics, Python
- Win-Vector Blog
- Brain of Mat Kelcey
- ERIN SHELLMAN
- Fabian Pedregosa
- Fast Forward Labs
- FastML
- FastAI
- Theo Szymkowiak
- Florian Hartl
- Full Stack ML
- GAB41
- Garbled Notes
- Greg Reda
- Hyon S Chu
- i am trask
- I Quant NY
- iDiBON
- inFERENCe
- INSPIRATION INFORMATION
- I’m a bandit
- Jason Toy
- Jeremy D. Jackson, PhD
- Jesse Steinweg-Woods
- Joe Cauteruccio
- John Myles White
- John’s Soapbox
- Jonas Degrave
- Joy Of Data
- Julia Evans
- KDnuggets
- Kenny Bastani
- Kevin Davenport
- korbonits | Math ∩ Data
- Large Scale Machine Learning
- LATERAL BLOG
- Lazy Programmer
- Learn Analytics Here
- LearnDataSci
- Learning With Data
- Life, Language, Learning
- Louis Dorard
- M.E.Driscoll
- Machinalis
- Machine Learning
- Machine Learning (Theory)
- Machine Learning and Data Science
- Machine Learning Mastery
- Machine Learning, etc
- Machine Learning, Maths and Physics
- Machined Learnings
- MAPR Blog
- MAREK REI
- MARGINALLY INTERESTING
- Math ∩ Programming
- Matthew Rocklin
- Melody Wolk
- Mic Farris
- Mike Tyka
- minimaxir | Max Woolf’s Blog
- Mirror Image
- Mitch Crowe
- MLWave
- Models are illuminating and wrong
- Neil Lawrence
- no free hunch
- Nuit Blanche
- Number 2147483647
- On Machine Intelligence
- Opiate for the masses Data is our religion.
- p-value.info
- Pete Warden’s blog
- Plotly Blog
- Probably Overthinking It
- Prooffreader.com
- ProoffreaderPlus
- Publishable Stuff
- Pythonic Perambulations
- R-bloggers
- Talent Analytics
- Ramiro Gómez
- Sachin Joglekar’s blog
- Keeping Up With The Latest Techniques
If any of this helps you, please try to drop in a Thank You note to respective authors on their blogs, if feasible. And, a few claps out here from you can keep me boosted to regularly update this post. Have a wonderful new year ahead!
