Machine Learning Key Terms, Explained; 10 Must Have Data Science Skills, Updated; A Concise Overview of Standard Model-fitting Methods; Free eBook: Healthcare Social Media Analytics and Marketing; 7 Steps to Mastering Machine Learning With Python
The CRN editorial team has released its annual Big Data 100 report for 2016, which includes the 55 Big Data Startups to Watch in 2016. Get the info here.
This post will provide a quick overview the current state of Data Scientist salaries in the US, and performs some data analysis in concert with some additional data.
Stanford Crowd Course Initiative: #MachineLearning with #Python course; Practical Guide to Matrix Calculus for #DeepLearning; Build your own #DeepLearning Box < $1.5K
Annual KDnuggets Analytics Software Poll; How to Explain Machine Learning to a Software Engineer; 5 Machine Learning Projects You Can No Longer Overlook; Doing Data Science: A Kaggle Walkthrough Part 1 – Introduction
Vote: What software you used for Analytics, Data Mining, Data Science projects? Useful #Cheatsheet: #Python, R #rstats code for #MachineLearning Algorithms; TPOT: A #Python Tool for Automating Data Science; Randomize Acceptance of Borderline Research Papers, save 25 reviewer person-years.
Data scientists mostly just do arithmetic and that’s a good thing; Data Scientists – future-proof yourselves; Are Deep Neural Networks Creative?; Implementing Neural Networks in Javascript; 7 Steps to Mastering Machine Learning With Python
Vote in KDnuggets 17th Annual Poll: What software you used for Analytics, Data Mining, Data Science Machine Learning projects in the past 12 months? We will clean and analyze the results and publish our analysis afterwards.
Bing Predicts is an innovative feature which now regularly makes headlines for its ability to analyze massive amounts of Web activity to forecast the outcomes of elections, voting-based reality TV shows, sports matchups and more.
Read a first-hand perspective on Big Data playing field in Singapore, strong support for Machine Learning and Data Science research, excellent local conditions, and how all these contribute to a bigger aspiration this city state is striving towards.
Understanding the Bias-Variance Tradeoff; Python, MachineLearning, & Dueling Languages; Why AI development is going to get even faster; Why Implement #MachineLearning Algorithms From Scratch?
How to Use Cohort Analysis to Improve Customer Retention; Why Implement Machine Learning Algorithms From Scratch?; 7 Steps to Mastering Machine Learning With Python; R vs Python for Data Science: The Winner is ...
In this post, we present a list of popular data science leaders on LinkedIn. Follow these leaders who will keep you in touch with the latest Data Science happenings!
Top 10 Essential Books for the Data Enthusiast; 10 Signs Of A Bad Data Scientist; When Does Deep Learning Work Better Than SVMs or Random Forests?; Comprehensive Guide to Learning Python for Data Science and more.
Trifecta: #Python, #MachineLearning, + Dueling Languages; Cartoon: When #Automation Goes Too Far; #AI Speed: 2-year old #xkcd cartoon: cannot check if a photo has a bird; Removing Duplicates in #BigData.
Check out the most popular topics on Reddit's Machine Learning subreddit from April, including TensorFlow, deep learning, tutorials, self-reflection, and free books.
Academic/Research positions Analytics and Data Science in Zurich, Hatfield-UK, Paris, Ningbo-China, Tianjin-China, Melbourne, Buffalo-NY, Birmingham-UK, and Tampere-Finland.
7 Steps to Mastering Machine Learning With Python; When Does Deep Learning Work Better Than SVMs or Random Forests; How to Remove Duplicates in Large Datasets; The "Thinking" Part of "Thinking Like A Data Scientist".
Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?
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