Tutorials
449 items from ujjwalkarn/machine-learning-tutorials ★18,265
-
Awesome Deep Learning Reading List deeplearning.net
-
Recent Reddit AMAs related to Deep Learning deeplearning.net
, Another AMA
-
Storytelling with Statistics datastories.quora.com
-
Boosting for Better Predictions datasciencecentral.com
-
alpha and beta in LDA datascience.stackexchange.com
-
Simple guide to confusion matrix terminology dataschool.io
-
ROC and AUC Explained dataschool.io
(related video)
-
Learning Data Science Fundamentals dataschool.io
-
-
Comparison Supervised Learning Algorithms dataschool.io
-
Applying and Interpreting Linear Regression dataschool.io
-
-
Using CNNs to detect facial keypoints danielnouri.org
-
Platt's Probabilistic Outputs for SVM csie.ntu.edu.tw
-
Practical Guide to SVC csie.ntu.edu.tw
, Slides
-
Interesting Deep Learning and NLP Projects (Stanford) cs224d.stanford.edu
, Website
-
Hinton's Guide to Training RBMs cs.toronto.edu
-
Original LDA Paper cs.princeton.edu
-
Ensemble Learning Paper cs.nju.edu.cn
-
Probabilistic Topic Models Princeton PDF cs.columbia.edu
-
-
topicmodels: An R Package for Fitting Topic Models cran.r-project.org
-
party package in R cran.r-project.org
-
adaBag R package cran.r-project.org
-
edX course | Klein & Abbeel courses.edx.org
-
fast.ai - Cutting Edge Deep Learning For Coders course.fast.ai
-
NLP RNN Representations colah.github.io
-
NN for Beginners codeproject.com
-
Torch ML Tutorial code.madbits.com
, Code
-
Google word2vec code.google.com
-
Stacked Generalization Paper citeseerx.ist.psu.edu
-
Boosting vs Bagging chioka.in
-
Good Resources chioka.in
-
-
An introduction to ROC analysis ccrma.stanford.edu
-
Intro to SVM in R cbio.ensmp.fr
-
CatBoost Documentation catboost.ai
-
Bayesian Reasoning and Deep Learning blog.shakirm.com
, Slides
-
Creating Custom Model For Android Using TensorFlow blog.mindorks.com
-
Convolution Neural Networks for EEG detection blog.kaggle.com
-
Interview with Yann LeCun | Kaggle blog.kaggle.com
-
no free hunch | kaggle blog.kaggle.com
The Kaggle Blog about all things Data Science
-
Introduction to LDA blog.echen.me
, Another good explanation
-
Introduction to RBMs blog.echen.me
-
Edwin Chen's Blog blog.echen.me
A blog about Math, stats, ML, crowdsourcing, data science
-
Language learning with NLP and reinforcement learning blog.dennybritz.com
-
-
Deep Learning for Visual Q&A | LSTM | CNN avisingh599.github.io
, Code
-
CV for detecting and preventing Overfitting autonlab.org
-
Regression and Classification with NNs (Slides) autonlab.org
- next page of items loading…