Data Science

Discover the best articles, videos, and resources on data science from around the web. Case studies, best practices, innovations. Follow along on Refind to get the most relevant new links picked for you.
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KDnuggets
Removing Outliers Using Standard Deviation in PythonKDnuggets
3 min read · Sep 12th · Standard Deviation is one of the most underrated statistical tools out there. It’s an extremely useful metric that most people know how to calculate but very few know how to use effectively. · Shared by 43, including Carla Gentry
data science
KDnuggets
Everything You Need to Know About Data LakehousesKDnuggets
4 min read · Sep 8th · Learn everything you need to know about data lakehouses. · Shared by 58, including Yves Mulkers
data science
Towards Data Science
Overcome the biggest obstacle in machine learning: OverfittingTowards Data Science
~14 min read · Aug 26th · Overfitting is a concept in data science that occurs when a predictive model learns to generalize well on training data but not on unseen… · Shared by 13
data science
machine learning
mikkeldengsoe.substack.com
The Difficult Life of the Data Leadmikkeldengsoe.substack.com
3 min read · Sep 23rd · Why balancing managing a team, demanding stakeholders and still being hands-on is no easy task · Shared by 117
data science
Towards Data Science
Forget about algorithms and models — Learn how to solve problems firstTowards Data Science
10 min read · Sep 12th · Aspiring developers and data scientists too often put the cart before the horse · Shared by 24
data science
Most highlighted
Abraham Lincoln is quoted to have said, Give me six hours to chop down a tree and I will spend the first four sharpening the axe
Towards Data Science
Startup VS Corporate — where to Work as a Data ScientistTowards Data Science
10 min read · Sep 14th · The differences in culture, workload, mentorship, learning rate and access to data and tools · Shared by 32
data science
Towards Data Science
The Seven Stages of MLOps MaturityTowards Data Science
~12 min read · Aug 25th · A practical guide to building critical MLOps capabilities that maximize data science ROI · Shared by 25, including Dr. Sally Eaves #InnoTrans2022 #GTC22, Nicolas Babin
mlops
data science
Towards Data Science
3 Reasons Why You Need Low-code Platforms For Data Science SolutionsTowards Data Science
8 min read · Sep 7th · Low-code ML applications help address the challenges of model maintenance, time-to-market, and talent shortage · Shared by 38, including Nicolas Babin
data science
Recently popular
blog.airslate.com
Why data analytics is critical for small businessesblog.airslate.com
7 min read · Sep 1st · Businesses, both big and small, operate and generate large volumes of information. Data that is analyzed wisely can be the key to business success. By leveraging data analytics, businesses can… · Shared by 163
data science
KDnuggets
The 5 Surprising Things You Can Do With RKDnuggets
4 min read · Aug 23rd · This article will dive into R's different uses and demonstrate what you can do with this programming language once you've learned it. · Shared by 137, including Carla Gentry
data science
mikkeldengsoe.substack.com
The Difficult Life of the Data Leadmikkeldengsoe.substack.com
3 min read · Sep 23rd · Why balancing managing a team, demanding stakeholders and still being hands-on is no easy task · Shared by 117
data science
Towards Data Science
Data demystified: Neural networks — how do they work?Towards Data Science
~11 min read · Aug 22nd · An executive’s guide to how neural networks work, without the jargon and complicated maths. · Shared by 115, including Cyril Coste #DigitalTransformation, Jansnet
machine learning
data science
EFF
Inside Fog Data Science, the Secretive Company Selling Mass Surveillance to Local PoliceEFF
~18 min read · Sep 1st · A data broker has been selling raw location data about individual people to federal, state, and local law enforcement agencies, EFF has learned. This personal data isn’t gathered from cell phone… · Shared by 89, including Thomas Pleil, John Koetsier
data science
privacy
MIT Sloan School of Management
Data is the key to overcoming the ‘new digital divide’MIT Sloan School of Management
4 min read · Aug 16th · Four ways to make sure your company is on the right side of the digital divide between data-driven companies and those struggling with data strategy. · Shared by 85, including Carla Gentry, Yves Mulkers
data science
Data Science Central
Data Science Lessons from Top GunData Science Central
8 min read · Sep 5th · The movie of the summer of 2022 is no doubt “Top Gun: Maverick.” Fast moving, tons of aerial combat, lots of excitement, and the youngest-looking Tom Cruise I’ve ever seen (not one stitch of grey hair… · Shared by 70, including Michelle Killebrew, Stephan Woodtli, Dean of Big Data 🎓 #DOBD
data science
Towards Data Science
Regularization Techniques for Neural NetworksTowards Data Science
~13 min read · Aug 28th · When training a deep neural network, it’s often troublesome to achieve the same performances on both the training and validation sets. A… · Shared by 60, including Dr. Ganapathi Pulipaka 🇺🇸
machine learning
data science
Most highlighted
L1 and l2 regularization for neural networks
KDnuggets
Everything You Need to Know About Data LakehousesKDnuggets
4 min read · Sep 8th · Learn everything you need to know about data lakehouses. · Shared by 58, including Yves Mulkers
data science
Towards Data Science
Key Takeaways from Gartner Data & Analytics Summit 2022Towards Data Science
~12 min read · Sep 1st · Augmented analysis, synthetic data, adaptive governance, and more · Shared by 57, including Kelly Hungerford 🌻
data science
data
learning
quality
filter
Most highlighted
Analytics is fundamentally subjective and imperfect, so start by establishing what “good” looks like and then stop when you reach it.
All-time favorites
ZDNET
AI: The pattern is not in the data, it's in the machineZDNET
6 min read · May 29th · No, the patterns computers create are not an inherent property of data, they are an emergent property of the structure of the program itself. · Shared by 960, including Bob E. Hayes, AI, Howard Getson, Ronald van Loon, Jansnet, Nicolas Babin, Kelly Hungerford 🌻, Ines Bieler
artificial intelligence
machine learning
data science
Most highlighted
You might say, a program of this kind doesn't "see" or "perceive" so much as it filters. 
future.com
Data50: The World’s Top Data Startupsfuture.com
~11 min read · Jun 29th · The Data50 are the bellwether data startups across the most exciting categories in data, such as AI/ML, ELT and orchestration, and data observability. · Shared by 828, including Evan Kirstel the $B2B Techfluencer, Pascal Sulser
data science
big data
Google Developers
Machine Learning Crash Course  |  Google DevelopersGoogle Developers
1 min read · From 2018 · Educational resources for machine learning · Shared by 746, including Dr. Ganapathi Pulipaka 🇺🇸, Vincent Terrasi, Jay West, Yash Tekriwal, Daniel Bentes, Maniteja Nandana, Diego Paladino, Marco Unternaehrer, Mark Kaigwa, Ricardo Yasuda, Thomas Huhn, Merkstatt, Victor Lee, Britney Muller 🇺🇦, Kirk Borne, Ha Duong, Mario Camou, Rodrigo Prior, programarfacil.com, James Gingerich, @Expeflow #WorkEasier #RPA
machine learning
course
google
opendatascience.com
12 Excellent Datasets for Data Visualization in 2022opendatascience.com
4 min read · Jul 5th · Data visualization requires quality data just as much as any other project. Finding data visualization datasets can be frustrating, but these datasets offer excellent resources to support… · Shared by 572, including Kirk Borne, Katja Evertz, Stephanie A Kowalski
data visualization
data science
FiveThirtyEight
Can Smiling Really Make You Happier?FiveThirtyEight
9 min read · From 2019 · Before we get started, do me a favor and grab a pen or a pencil. Now hold it between your teeth, as if you were about to try to write with it. Don’t let your li… · Shared by 520, including Liliane Ferrari ™, Daniel Kraft, MD, Mark Kaigwa, Marsha Collier, Jennifer Ouellette
psychology
data science
happiness
positivity
motivation
Most highlighted
A failed attempt to replicate a particular experiment doesn’t really tell you anything about the underlying theory, he said; all it tells you is that one particular design works or doesn’t work.
startupsventurecapital.com
Essential Cheat Sheets for Machine Learning and Deep Learning Engineersstartupsventurecapital.com
3 min read · From 2017 · Learning machine learning and deep learning is difficult for newbies. As well as deep learning libraries are difficult to understand. I am… · Shared by 484, including Merkstatt, Nando 💪🇦🇺🇦🇷, Dez S. Papp, Marck Vaisman, Ronald van Loon, Andreas Heer, ErmanTaylan.eth, Francesco Corea, Evan (he/him), Nils Hitze, Johannes Lenz, Katja Evertz, Thomas Telandro, Thomas Power, Dr. Ganapathi Pulipaka 🇺🇸, Rezha Julio, Marc Gasser, Carl Morris, Max R. Scheer, René Clausen Nielsen
machine learning
artificial intelligence
cheat sheet
data science
medium.freecodecamp.com
Every single Machine Learning course on the internet, ranked by your reviewsmedium.freecodecamp.com
~20 min read · From 2017 · A year and a half ago, I dropped out of one of the best computer science programs in Canada. I started creating my own data science master… · Shared by 461, including Fabrizio Bianchi, janfsauer, Matthew Turland, Mara Averick, Michael Mayernick, Thomas Telandro, David Dias, Marck Vaisman, Sascha Brossmann (he/him) 🇪🇺🇺🇦, Dominik Grolimund, Alexandra Wong, Mark Kaigwa, Dez S. Papp, Stephanie A Kowalski, Werner Vogels, Marco Unternaehrer, Stephen C Sanders, ThomNagy, Anthony Atkinson, Thomas Power
artificial intelligence
machine learning
learning
course
internet of things
cult.honeypot.io
Thinking of a career in AI? Make sure you have these 8 skillscult.honeypot.io
3 min read · Aug 19th · Wanna switch to a career in Artificial Intelligence? Here's what you need to know in terms of must have skills and salary expectations. · Shared by 436, including Marcos, James Gingerich, @Expeflow #WorkEasier #RPA, Merkstatt, Marcus Borba, Bob E. Hayes
artificial intelligence
data science
MIT Technology Review
AI godfather Geoff Hinton: “Deep learning is going to be able to do everything”MIT Technology Review
4 min read · 2020-11-03 · Nearly 30 years ago, Hinton’s belief in neural networks was contrarian. Now it’s hard to find anyone who disagrees, he says. · Shared by 432, including Eric Topol, James Gingerich, @Expeflow #WorkEasier #RPA, Helen Yu, Evan Kirstel the $B2B Techfluencer, AI, Marc R Gagné MAPP 🍁, Nige Willson, Vaughan Bell, Gideonro, Theodora (Theo) Lau - 劉䂀曼 🌻, Gerd Leonhard, John Hagel, Bill Slawski ⚓ 🇺🇦, Harold Sinnott 📲 #DigitalTransformation #DTW, John Nosta, Bob E. Hayes, Nicolas Babin, Carla Gentry, Dr. Ganapathi Pulipaka 🇺🇸, Martin Ford
artificial intelligence
machine learning
brain
data science
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