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๐ ๐ง๐ต๐ฒ ๐๐๐น๐น ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ-๐ฆ๐๐ฒ๐ฝ๐ ๐ ๐๐ข๐ฝ๐ ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ | ๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐๐ & ๐ ๐๐ข๐ฝ๐ for free by designing, building and deploying an end-to-end ML batch system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 2.5 ๐ฉ๐ฐ๐ถ๐ณ๐ด ๐ฐ๐ง ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ & ๐ท๐ช๐ฅ๐ฆ๐ฐ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
12 Weeks, 24 Lessons, AI for All!
Example ๐ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ๐ง Amazon SageMaker.
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
Master complex big data processing, stream analytics, and machine learning with Apache Spark
A curated list of awesome Deep Learning tutorials, projects and communities.
A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps
:sunglasses: A curated list of awesome MLOps tools
Free Data Engineering course!
10 Weeks, 20 Lessons, Data Science for All!
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
ebook Machine Learning cฦก bแบฃn
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Notebooks and code for the book "Introduction to Machine Learning with Python"
A log analysis toolkit for automated anomaly detection [ISSRE'16]
A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]
Public repo for DeepLearning.AI MLEP Specialization
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Python code for common Machine Learning Algorithms
Source code accompanying O'Reilly book: Machine Learning Design Patterns
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.