Top 100 Machine Learning and Data Analysis Articles

This post is built by analogy with the post “Habraslivka: golden posts“ Habrahabra ”and Geektimes” , but on machine learning and data analysis. The sample had to be adjusted manually, because got messages that are not relevant to the topic, having high marks (maybe a few left) and, on the contrary, did not get some of the best “Machine Learning” hub. “Cream” turned out to be liquid - the highest mark is 312, the lowest is 50, so the posts are included, at least 80% of the votes for which are positive, and not 98%.

1. “ How to lie with the help of statistics ” - 312 votes in total, 309 positive.
2. “ To see the invisible ” - 185 votes, 180 positive.
3. “We recognize the image from the token using the camera ” - 178 votes, 172 positive.
4. " Neural network against DDoS'a " - 177 votes, 174 positive.
5. " How many cats in the Habré? "- 176 votes, 164 positive.
6. “ Machine learning. Yandex course for those who want to spend the New Year holidays with benefits ”- 172 votes, 166 positive.
7. “ Stephen Wolfram conducted a mathematical analysis of social networks ” - 165 votes, 157 positive.
8. “ Speech recognition from Yandex. Under the hood, Yandex.SpeechKit has 155 votes, 149 positive votes.
9. “ Trade knows when you are expecting a baby ” - 149 votes, 130 positive.
10. "The sudden sofa of leopard colors " - 148 votes, 145 positive.
11. “ The most important thing about neural networks. Lecture in Yandex ”- 136 votes, 133 positive.
12. “ How many neurons do you need to recognize a bridge summary? "- 136 votes, 133 positive.
13. “ FizzBuzz on TensorFlow ” - 132 votes, 123 positive.
14. “ Parsim Russian ” - 128 votes, 124 positive.
15. “ Calculation of the fractal dimensionality of Minkowski for a flat image ” - 128 votes, 116 positive.
16. " Viola-Jones method (Viola-Jones) as a basis for facial recognition " - 123 votes, 121 positive.
17. “ Learning a car is a fun thing: modern face recognition with deep learning ” - 121 votes, 121 positive.
18. “ Resume Analysis with HeadHunter. Who earns how much and in which industries he works ”- 119 votes, 106 positive.
19. " Angle detectors " - 118 votes, 116 positive.
20. “ How I earned $ 500K on machine learning and high-frequency trading — Part 1 ” - 117 votes, 95 positive.
21. “The vital position of VKontakte users depending on gender and age ” - 111 votes, 104 positive.
22. “ Yandex is announcing Meteum’s own weather forecasting technology. Accurate to home ”- 110 votes, 108 positive.
23. “ Dropbox: an inside look ” - 105 votes, 103 positive.
24. “ Unsupervised learning or“ go there, I don’t know where, find it, I don’t know what ” ” - 105 votes, 96 positive.
25. " Latent-semantic analysis " - 104 votes, 101 positive.
26. “ About cats, dogs, machine learning and deep learning ” - 101 votes, 98 positive.
27. “ How I won the Beeline BigData competition ” - 100 votes, 92 positive.
28. “We decipher the Habra-rating formula or the restoration of functional dependencies according to empirical data ” - 99 votes, 98 positive.
29. “ Experiment in Yandex. How to identify a cracker using machine learning "- 98 votes, 87 positive.
30. “ Yandex and the Higher School of Economics open the Computer Science department ” - 96 votes, 90 positive.
31. “ Yandex opens a new direction of its activity - Yandex Data Factory ” - 95 votes, 84 positive.
32. “The vital position of users VKontakte. Bonus track. Correlations ”- 91 votes, 74 positive.
33. “ Teaching computer feelings (sentiment analysis in Russian) ” - 90 votes, 85 positive.
34. " Portrait Habr-tutorial " - 90 voices, 81 positive.
35. “ Search for interconnections on the example of Oil-Ruble ” - 90 votes, 80 positive.
36. “ Computer comprehension of the text: is it really that bad? "- 88 votes, 83 positive.
37. “ What questions can be answered by analyzing 1,500,000 unique case histories? "- 88 votes, 77 positive.
38. “ Courses at Stanford University ” - 88 votes, 72 positive.
39. “ Progress in the development of neural networks for machine learning ” - 87 votes, 74 positive.
40. “ Entropy and decision trees ” - 86 votes, 83 positive.
41. “ Unusual Playboy models, or about detecting outliers in data using Scikit-learn ” - 84 votes, 77 positive.
42. “ Bayesian neural network - because why not, damn it (part 1) ” - 83 votes, 82 positive.
43. “ Course on machine learning on Coursera from Yandex and HSE ” - 83 votes, 81 positive.
44. “ Yandex.Meteum - a new development or marketing ploy? "- 83 votes, 71 positive.
45. " Review of data clustering algorithms " - 82 votes, 78 positive.
46. “ Stanford Neural Network determines the tonality of the text with an accuracy of 85%, the code will be given in Open Source ” - 82 voices, 77 positive.
47. “The recurrent neural network in 10 lines of code appreciated the feedback from viewers of the new episode of“ Star Wars ” ” - 82 votes, 75 positive.
48. “We distinguish the bus from the car by GPS tracks ” - 81 votes, 70 positive.
49. “ Licenzero: simple movements ” - 80 votes, 73 positive.
50. “ Using the Haar cascade to compare images ” - 79 votes, 73 positive.
51. “ Neuro-revolution in heads and villages ” - 78 votes, 76 positive.
52. " Introduction to Bayesian methods " - 78 votes, 70 positive.
53. “ Yandex.Toloka. How people help teach machine intelligence ”- 76 votes, 72 positive.
54. “ Distance learning at the ShAD Yandex: 570 wonderful hours of my life ” - 76 votes, 62 positive.
55. “ More than 40 online courses from Coursera and Udacity ” - 74 votes, 73 positive.
56. “ AI is Gödel v Turing or the critic of artificial intelligence. Technician's point of view ”- 74 votes, 65 positive.
57. “ As a programmer, I bought a car ” - 73 votes, 71 positive.
58. “ Setting a computer vision task ” - 72 votes, 72 positive.
59. “ Mathematica 10 was released, containing 700+ new features and an incredible amount of R & D ” - 72 votes, 65 positive.
60. “ AlphaGo on the fingers ” - 71 votes, 69 positive.
61. “ Hello, TensorFlow. Google's machine learning library - 71 votes, 68 positive.
62. Speech Recognition for Dummies - 71 votes, 61 positive.
63. “ Python and beautiful legs: how I would introduce my son to mathematics and programming ” - 70 votes, 60 positive.
64. “ Formation of high-level signs using a large-scale learning experiment without a teacher ” - 68 votes, 64 positive.
65. “ Image Classifier ” - 67 votes, 63 positive.
66. “ Machine learning in navigation devices: we determine the machine’s maneuvers using the accelerometer and gyroscope ” - 67 votes, 63 positive.
67. “ Kaggle is our excursion to the kingdom of overfit ” - 66 votes, 65 positive.
68. “ Not neural networks at all ” - 66 votes, 61 positive.
69. “ Review of methods for the evolution of neural networks ” - 65 votes, 60 positive.
70. " We determine the weight of chess pieces by regression analysis " - 64 votes, 64 positive.
71. “ Introduction to multivariate analysis ” - 63 votes, 61 positive.
72. " Elements of the semantic web " - 63 votes, 57 positive.
73. “ Ranking in Yandex: how to put machine learning on stream (post # 1) ” - 63 votes, 56 positive.
74. “ Machine learning in a simple project ” - 63 votes, 53 positive.
75. “ Try R ” - 62 votes, 59 positive.
76. “ Buying the best apartment with R ” - 62 votes, 59 positive.
77. “ Recognition of guilloche elements on the example of the passport of the Russian Federation ” - 61 votes, 57 positive.
78. “ Machine learning is a microscope of a modern scientist. Why CERN Yandex Technologies ? 60 votes, 54 positive.
79. “ Little secrets of big graphs ” - 60 votes, 54 positive.
80. “ How many neurons do you need to find out if the Alexander Nevsky Bridge is divorced? "- 59 votes, 59 positive.
81. " Learning OpenCV cascade of Haar " - 59 votes, 57 positive.
82. " R language to help the habra-extra " - 59 votes, 54 positive.
83. “ Dmitry Vetrov's lecture on big data mathematics: tensors, neural networks, Bayesian output ” - 58 votes, 57 positive.
84. “ Neuroplasticity in artificial neural networks ” - 58 votes, 56 positive.
85. “ Your personal course on Big Data ” - 58 votes, 54 positive.
86. "The social network of the Star Wars universe " - 58 votes, 49 positive.
87. “ How to choose a dress using the main component method ” - 57 votes, 54 positive.
88. “ Research projects on the Odesk freelance market through the eyes of a web developer ” - 55 votes, 52 positive.
89. “ Top 10 data mining algorithms in simple language ” - 55 votes, 49 positive.
90. " Review of literature on Data Mining " - 54 votes, 50 positive.
91. “ Mathematics for artificial neural networks for beginners, part 1 - linear regression ” - 54 votes, 47 positive.
92. “The Bayesian neural network is now orange (part 2) ” - 53 votes, 52 positive.
93. “ Introduction to machine learning using Python and Scikit-Learn ” - 53 votes, 50 positive.
94. “A St. Petersburg photographer compared metro passengers with their VKontakte profiles ” - 53 votes, 44 positive.
95. “ Automatic tag selection ” - 52 votes, 51 positive.
96. “ Digest of articles on data analysis No. 3 (June 09, 2014 — June 22, 2014) ” - 52 votes, 47 positive.
97. “ Analysis of existing approaches to face recognition ” - 50 votes, 49 positive.
98. “The ideal student, or what they are silent about in machine learning ” - 50 votes, 49 positive.
99. “ Solving the problem of clustering using the gradient descent method ” - 50 votes, 48 ​​positive.
100. " On the training of neural networks " - 50 votes, 47 positive.

KDPV from here .
UPD : replaced the chart.