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Saturday, March 26, 2016

Recent Big Data and Machine Learning Info Digest 2016/03/16

Microsoft to open-source A.I. development platform based on Minecraft

Kaggle - Airbnb New User Bookings - 2nd Place Solution

How we scaled data science to all sides of Airbnb over 5 years of hypergrowth

Designing Machine Learning Models: A Tale of Precision and Recall

How Airbnb uses machine learning to detect host preferences
Posted by William at 12:00 PM No comments:
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Labels: AI, Airbnb, Kaggle, Machine Learning, Microsoft, Minecraft

Saturday, March 19, 2016

Recent Big Data and Machine Learning Info Digest 2016/03/19

NOT A DATA SCIENTIST? YOU CAN STILL BE DATA SAVVY

Why Hadoop Must Evolve Toward Greater Simplicity

Big Data Insights - IT Support Log Analysis

Engineers Shouldn’t Write ETL: A Guide to Building a High Functioning Data Science Department
Posted by William at 1:43 PM No comments:
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Labels: Data Science, Data Scientist, ETL, Hadoop

Sunday, March 13, 2016

Recent Big Data and Machine Learning Info Digest 2016/03/13

BEGINNER’S GUIDE TO THE HISTORY OF DATA SCIENCE

Spark and big data discovery: An evolutionary perspective


Instagram Surveillance: How Data Analysts Link Your Photos To Your Credit Card Purchases


HADOOP AND SPARK: A MATCH MADE IN (BIG DATA) HEAVEN
Posted by William at 3:01 PM No comments:
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Labels: Data Science, Facebook, Hadoop, history, IBM, Instagram, Spark

Tuesday, March 8, 2016

Recent Big Data and Machine Learning Info Digest 2016/03/08

How IBM Is Hoping To Close The Massive Big Data And Analytics Skills Gap

House Hunting with Watson Analytics

21 Scary Things Big Data Knows About You

How do I become a data scientist without a PhD?
Posted by William at 4:53 PM No comments:
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Labels: Data Scientist, Facebook, Quora, Watson Analytics

Monday, February 29, 2016

Recent Big Data and Machine Learning Info Digest 2016/02/29

Watson Analytics’ Intelligent Application on Financial Markets

Is Being A Data Scientist Really The Best Job In America?

Data Science and Big Data: Two very Different Beasts


What’s new in Cassandra 3.0?
Posted by William at 11:26 PM No comments:
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Labels: Cassandra, Data Scientist, IBM, Job, NoSQL, Watson

Tuesday, February 23, 2016

Recent Big Data and Machine Learning Info Digest 2016/02/23

8 Ways To Monetize Data

50 Years of Data Science by David Donoho

Facebook Says It Has Created The Most Accurate Population Density Models Ever

Top 10 Quora Machine Learning Writers and Their Best Advice

Top 10 Data Mining Algorithms, Explained

Advanced Analytics Software’s Most Important Feature? Gartner Says it’s VCF
Posted by William at 9:47 PM No comments:
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Labels: Algorithms, Data Mining, Data Science, David Donoho, Facebook, Gartner, MIT, Quora, VCF

Sunday, February 21, 2016

Recent Big Data and Machine Learning Info Digest 2016/02/21

18 Reasons Data Scientists are Difficult to Manage

Building the Next Generation of Apps with IBM Watson

Recommending Recommendation Systems

The Nine Must-Have Datasets for Investigating Recommender Systems

Build your own neural network classifier in R

Posted by William at 12:19 PM No comments:
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Labels: Data Scientist, IBM, Jun Ma, Lab41, Neural Network, R, Recommendation, Watson
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