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1.
Analyze Your Experiment with a Multilevel Logistic Regression using PyMC3‚Äč (dansaber.wordpress.com)
8 points by momoneymoprobs 1 day ago | discuss
2.
Moving from R to Python: The Libraries You Need to Know (yhat.com)
5 points by elisebreda 19 hours ago | discuss
3.
Understanding Postgres Performance (craigkerstiens.com)
2 points by craigkerstiens 21 hours ago | discuss
4.
Glmnet for Python (civisanalytics.com)
18 points by michelangelo 5 days ago | discuss
5.
Layman's Intro to Artificial Intelligence and Neural Networks (medium.com)
7 points by vvpreetham 3 days ago | discuss
6.
Building a recommendation engine with AWS Data Pipeline + EMR + Spark (medium.com)
7 points by wonjunetai 4 days ago | discuss
7.
TensorLayer: Deep learning and Reinforcement learning library (github.com)
6 points by tfturing 3 days ago | discuss
8.
Deep Learning with Keras: Tutorial @ EuroScipy 2016 (github.com)
8 points by elyase 5 days ago | discuss
9.
Using Apache Spark to Analyze Large Neuroimaging Datasets (dominodatalab.com)
7 points by danielchalef 5 days ago | discuss
10.
Facebook Open Source DeepMask and SharpMask (facebook.com)
5 points by genofon 4 days ago | discuss
11.
Rodeo v2.1.3 - We fixed Rodeo installation & Rodeo for Windows (yhat.com)
4 points by elisebreda 4 days ago | discuss
12.
The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3) (github.io)
6 points by pmigdal 5 days ago | discuss
13.
An overview of gradient descent optimization algorithms (sebastianruder.com)
5 points by pmigdal 5 days ago | discuss
14.
Logistic Regression in Python Using Rodeo (yhat.com)
6 points by elisebreda 5 days ago | discuss
15.
Datasets for Deep Learning and Robotics (google.com)
9 points by tfturing 7 days ago | discuss
16.
An Intuitive Explanation of Convolutional Neural Networks (ujjwalkarn.me)
6 points by Jasamba 6 days ago | discuss
17.
A Concise history of Neural Networks (medium.com)
6 points by Jasamba 7 days ago | discuss
18.
Forget Python vs. R: how they can work together (civisanalytics.com)
20 points by michelangelo 14 days ago | 1 comment
19.
Machine Learning 2013 - Nando de Freitas (youtube.com)
2 points by Anon84 4 days ago | discuss
20.
70+ Resources for Transitioning to a Data Science Career (modeanalytics.com)
16 points by melissabierly 14 days ago | 1 comment
21.
Alternative Olympics medal table (google.com)
4 points by danidelvalle 7 days ago | discuss
22.
A Product similarity space with doc2vec (bookspace.co)
13 points by jeradf 13 days ago | 5 comments
23.
Seven ways to be data-driven off a cliff (yanirseroussi.com)
5 points by yanirs 8 days ago | discuss
24.
What We Learned Analyzing Hundreds of Data Science Interviews (springboard.com)
10 points by Rogerh91 13 days ago | discuss
25.
Data analysts and engineers in higher demand than scientists? (indeed.com)
4 points by tbonza 8 days ago | 8 comments
26.
Machine Learning Unconference by OpenAI (openai.com)
7 points by shagunsodhani 11 days ago | discuss
27.
The 10 Algorithms Machine Learning Engineers Need to Know (kdnuggets.com)
2 points by analyticalmonk 5 days ago | discuss
28.
Category Encoders: sklearn-compatible transformers for non-numeric data (github.com)
9 points by wdm0006 13 days ago | discuss
29.
NLP and Big Data: a Powerful Combination that brings Life to Unused Information (intellexer.com)
3 points by luchiano 7 days ago | discuss
30.
Benchmarking 8 of the new Pascal Titan Xs by querying 1.1 Billion Taxi Trips. (marksblogg.com)
11 points by marklit 15 days ago | 1 comment
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