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Do you want a better understanding of Buffer in Node.js? Check this out.
Are you always mystified, like me, whenever you come across words like Buffer, Stream, and binary data in Node.js? Does that feeling make…
Justice Mba
Dec 13
Using Object detection for a Smarter Retail Checkout Experience
Doing cool things with data!
Priya Dwivedi
Dec 11
Youtube Views Predictor
A comprehensive guide to getting more views on YouTube backed by Machine Learning
Aravind Srinivasan
Dec 11
Artwork Personalization at Netflix
Artwork is the first instance of personalizing not just what we recommend but also how we recommend.
Netflix Technology Blog
Dec 7
In case you missed it
Great Analytic Organizations Often Employ A Healthy Dose of Bullshit
You Can Learn How, ASSUMING You Keep The Right Perspective
Corsair's Publishing
Dec 16
How a simple algorithm classifies texts with moderate accuracy
Thing being covered: Data exploration, text classification, imbalance data, various metrics
kenta suzuki
Dec 14
Understanding GRU networks
In this article, I will try to give a fairly simple and understandable explanation of one really fascinating type of neural network…
Simeon Kostadinov
Dec 16
Interactive Machine Learning: Make Python ‘Lively’ Again
Code notebooks come alive with interactive widgets. Users can visualize and control changes in the data and the model. Learning becomes fun…
Tirthajyoti Sarkar
Dec 16
Why your analytics project will fail to deliver exponential value
So you’ve finished building an analytics dashboard on top of your data warehouse — congrats! You’re now moving ahead on some exciting…
Jesse Paquette
Dec 14
Female CEOs Have a Higher Median Pay, But Is It Related to Their Gender?
The Wall Street Journal published an article on May 31, 2017 with the title Though Outnumbered, Female CEOs Earn More Than Male Chiefs. The…
Andrew DeCotiis-Mauro
Dec 12
How to use Google Trends for SEO
Google Trends, first launched in 2006, provides marketers with invaluable insights into how people search on the world’s most popular…
Clark Boyd
Dec 15
Weekly Selection — Dec 15, 2017
Grow Your Own Experts
TDS Team
Dec 15
Dive deeper with these tags
Big Data
,
Statistics
,
Data Visualization
What is the most effective way to structure a data science team?
From 2012 to 2017, I had the privilege to build the Data and Analytics organization at Coursera from scratch. Over that period of time, we…
Chuong Do
Dec 14
3 NIPS Papers We Loved
Know your model’s limits, interpret it’s behavior and learn from variable length sets.
Jeremy Stanley
Dec 14
What’s the next word ?
Neural Language Model
Prakhar Mishra
Dec 12
Gradient Boosting from scratch
Simplifying a complex algorithm
Prince Grover
Dec 8
Learn how to select the best performing linear regression for univariate models
Find out which linear regression is the best fit for your data
Björn Hartmann
Dec 14
How I created a classifier to determine the potential popularity of a song.
A tool that helps musicians succeed.
Tharindra Paranagama
Dec 6
Quest to understand Machine Learning in Production & Notes Part II
Continuing from the Part I of this quest. This piece will take a deep dive into Martin Zinkevich’s work. These rules are very tactical and…
Shengyu Chen
Dec 12
XGBoost, GPUs and Scikit-Learn. YES!
During my Machine Learning studies I developed a taste for fast Machine Learning pipelines. Since python provides coding versatility it is…
Gonçalo Abreu
Dec 13
Self Driven Data Science — Issue #27
Weekly lineup of data-driven articles, stories, and resources
Conor Dewey
Dec 12
Superhero Lessons in Analytics — Ep. XV
Tracking & Data Collection— Lessons from The Gifted
Corsair's Publishing
Dec 13
Django Admin Range-Based Date Hierarchy
How we significantly improved the performance of Django Admin date hierarchy
Haki Benita
Dec 11
VideoFi — Annotating videos and finding insights simplified
Watching a video is fun, but trying to analyze the video manually, not so much! You may miss important details and it is quite time…
Shivangi Shroff
Dec 11
Predicting Employee Turnover
Introduction
Imad Dabbura
Dec 11
NLP Fundamentals: Where Humans Team Up With Machines To Help It Speak
Image Source
Pramod Chandrayan
Dec 12
Python Data Visualization — Comparing 5 Tools
It could be challenging to pick the right data visualization tool in Python. There are so many options available. Summarizing most common…
Elena Kirzhner
Dec 6