Review of materials on machine learning № 2 (February 21 - 27, 2017)

Good day! This is the second digest of machine learning and data analysis materials. Despite the holidays this week was a lot of interesting things.


Events of the week

one. SMIGO Seminar : Multi-Class Classification: How to Deal with Multi-class Huge Scale Problems Efficiently? 28th of February.
2 Data science breakfast . March 1.
3 Superjob Data Science Meetup . 2nd of March.
four. Open & Big Data Hackathon 2017 . St. Petersburg. March, 3rd.
five. Data Science Weekend . March, 3rd.
6 Moscow Data Science meetup . March, 3rd.
7 Open Data Day in Moscow . March 4th.
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Training courses, conferences

one. The course “Additional Chapters of Machine Learning” starts at the Physical and Technical Institute.
2 ML training. DeepHack RL, Avito BI . Video.
3 Interactive interfaces: problems and challenges . Video.
four. NIPS 2016 Workshop on Adversarial Training . December conference in Barcelona. Video.
five. Summer School Summer School and Reinforcement Summer School .

news

one. Kaspersky Lab will conduct a hackathon on data analysis.
2 Weekly review from DataScienceCentral .
3 Weekly review of the HighScalability portal .
four. GPUs are now available for Google Compute Engine and Cloud Machine Learning .

Scientific articles, practical implementations, datasets

one. Pachyderm: A Containerized, Version-Controlled Data Lake .
2 The basic principles of machine learning on the example of linear regression .
3 TensorFlow Quick Tips .
four. Predicting gentrification using longitudinal census data .
five. How is Deep Learning Changing Data Science Paradigms?
6 Cosine Normalization: Using Cosine Similarities .
7 Public data management .
eight. High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis .
9. How to train Baidu's Deepspeech model with Kur .
ten. Semantic Question Matching with Deep Learning .
eleven. Combining neural networks and decision trees .
12. Char2Wav: End-to-End Speech Synthesis .
13. Fast PixelCNN ++: speedy image generation .
14. Intro and preprocessing - Using Convolutional Neural Networks to Identify Dogs vs Cats. Part 1 . Part 2 . Part 3 Part 4 Video.
15. Lots of labeled and annotated data
sixteen. The heuristic network is an analogue of the recurrent neural network for the chat bot program .
17 Brain Trust: How It Is Helping Surgeons Improve Tumor Diagnosis .
18. Ranking every Data Science course on the internet .
nineteen. Data Manipulation and Visualization with Pandas and Seaborn - A Practical Introduction .
20. Interactive Image Translation with pix2pix-tensorflow .
21. Training with reinforcements: from Pavlova to slot machines .
22 PixelNet: Representation of the pixels, by the pixels, and for the pixels .
23. Learning to generate one-sentence biographies from Wikidata .
24 How to Difference a Time Series Dataset with Python .
25 Neural networks: practical application .
26 How to Make a Tensorflow Image Classifier . Video.
27. Introduction to Neural Networks - Perceptron .
28 Recognizing Traffic Lights With Deep Learning .
29. Serve Spark ML Models Using Play Framework and S3 .
thirty. Tips and Tricks for the practitioner .
31. RBM based Autoencoders with tensorflow .
32. Social Media Research Toolkit .
33. Neural networks in pictures: from one neuron to deep architectures .
34 Neural Network Learns to Be Anemone Age, and Make Them Younger, Too .
35 How to Save an ARIMA Time Series Forecasting Model in Python .
36 How to Create a Linux Virtual Machine For Python 3 .
37. Beginner's Guide to Customer Segmentation .
38 Bare bones Python implementations of some of the foundational Machine Learning models and algorithms .
39 Announcing Prophet: A tool that provides an accurate, reliable forecasting .
40 Butterfly effect: OECD's data visualization leads to media panic .
41 Preprocessing for Machine Learning with tf.Transform .
42 Smart feeder: Machine Learning, Raspberry Pi, Telegram, a bit of learning magic + assembly instructions .
43 High-Res-Neural-Inpainting - High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis .

Previous release: Review of materials on machine learning (February 13 - 20, 2017) .