Google used DeepMind AI to cut its power bill
How Google is Remaking Itself as a "Machine Learning First" Company
How Big Data Is Helping the NYPD Solve Crimes Faster
Approaching (Almost) Any Machine Learning Problem | Abhishek Thakur
Creating a Beer Recommendation Engine
Showing posts with label Recommendation. Show all posts
Showing posts with label Recommendation. Show all posts
Saturday, July 23, 2016
Saturday, June 25, 2016
Recent Big Data and Machine Learning Info Digest 2016/06/25
Spark Makes Inroads into NoSQL Ecosystem
RPy2: Combining the Power of R + Python for Data Science
Deep Learning for Recommender Systems - Budapest RecSys Meetup
FOR DATA WORK, “IT’S ACTUALLY PRETTY HARD TO ARGUE *AGAINST* USING PYTHON”
A poet does TensorFlow
Hello, TensorFlow!
Data Mining Reveals the Crucial Factors That Determine When People Make Blunders
RPy2: Combining the Power of R + Python for Data Science
Deep Learning for Recommender Systems - Budapest RecSys Meetup
FOR DATA WORK, “IT’S ACTUALLY PRETTY HARD TO ARGUE *AGAINST* USING PYTHON”
A poet does TensorFlow
Hello, TensorFlow!
Data Mining Reveals the Crucial Factors That Determine When People Make Blunders
Labels:
Data Science,
Deep Learning,
NoSQL,
Python,
R,
Recommendation,
Spark,
TensorFlow
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
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
Labels:
Data Scientist,
IBM,
Jun Ma,
Lab41,
Neural Network,
R,
Recommendation,
Watson
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