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keras

Deep Learning for humans

kotlin-data-science-resources

Curation of libraries, media, links, and other resources to use Kotlin for data science

learndatascience

Open Content for self-directed learning in data science

lectures

Oxford Deep NLP 2017 course

machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-books-with-python

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine_learning

Python coded examples and documentation of machine learning algorithms.

machine_learning_journey

This is the Curriculum for "Machine Learning Journey" By Siraj Raval on Youtube

makeyourownneuralnetwork

Code for the Make Your Own Neural Network book

ml-cd-starter-kit

Set up cross-cutting services (e.g. CI server, monitoring) for ML projects using kubernetes and helm

ml-model-deployment

Scripts, Tips, and Tricks for Deploying ML and Deep Learning Models into Production

ml-server-in-docker

A deployed ML model in Docker with Flask

ml-train-deploy-vsts-k8s

A reference architecture for training and deploying machine learning models using best practice engineering and DevOps principles

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mlaksdeployment

How to deploy Python models on a Kubernetes cluster

mlnanodegree

Udacity Machine Learning NanoDegree Projects

mmlspark

Microsoft Machine Learning for Apache Spark

myprojects

My Projects Related to AI,Data Science and Machine Learning

nsrinivasapps.github.io

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

oreilly_reactive_python_for_data

Resources for the O'Reilly online video "Reactive Python for Data"

papers-we-love

Papers from the computer science community to read and discuss.

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

pelican-ipynb

Pelican plugin for blogging with Jupyter/IPython Notebooks

predictive-analytics-with-spark-in-hdinsight

Course files for Predictive Analaytics with Spark in HDInsight Course

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

production-data-science

Production Data Science: a workflow for collaborative data science aimed at production