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Name: Kenny Evans
Type: User
Company: Apple
Bio: Engineering Manager
Location: Seattle, WA
Blog: http://www.sixteenfortytwo.comhttps//medium.com/@newtonsspawn
Name: Kenny Evans
Type: User
Company: Apple
Bio: Engineering Manager
Location: Seattle, WA
Blog: http://www.sixteenfortytwo.comhttps//medium.com/@newtonsspawn
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
This Solution Accelerator is an end-to-end example on how to enable personalized customer experiences for retail scenarios by leveraging Azure Synapse Analytics, Azure Machine Learning Services, and other Azure Big Data services
:notebook:Solutions to Introduction to Algorithms
Codewars Challenges
Data and code behind the stories and interactives at FiveThirtyEight
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
ggplot2: elegant graphics for data analysis
An item-based recommender model that computes cosine similarity for each item pairs using the item factors matrix generated by Spark MLlib’s ALS algorithm and recommends top 5 items based on the selected item.
A tool for managing Apache Kafka.
Instacart Market Basket Analysis
Supplementary materials for the "Learning Scala" book from O'Reilly Media
A Python implementation of LightFM, a hybrid recommendation algorithm.
Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
Capturing model drift and handling its response - Example webinar
Quantnet: MVA quantlets
The code examples used in Programming Scala, 2nd Edition (O'Reilly)
DSI Capstone Project
Protocol Buffers - Google's data interchange format
Code used to solve FiveThirtyEight weekly Riddlers, often using brute force methods. Correctness may vary.
Scala and Spark for Big Data Analytics, published by Packt
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Spark: The Definitive Guide's Code Repository
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
XGBoost Julia Package
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.