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Applied unsupervised machine learning algorithms (K-Means Clustering and Isolation Forest) on time series data collected from an Air Handling Unit of a building to detect anomalous behavior of the system. Applied exploratory data analysis using Python to identify non-optimal working conditions of the AHU. Designed an automated anomaly detection sy
source code
Yu Long's note about Stanford CS239S Machine Learning System Design
Yu Long's note about data science
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
Grokking the System Design Interview Course
Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.
Home Camera
ISC2-CC-Study-Material
llama3 implementation one matrix multiplication at a time
Machine Learning Concepts with Concepts
Learn how to design Machine Learning systems and prepare for an interview.
# Machine Learning (Coursera) This is my solution to all the programming assignments and quizzes of Machine-Learning (Coursera) taught by Andrew Ng. After completing this course you will get a broad idea of Machine learning algorithms. Try to solve all the assignments by yourself first, but if you get stuck somewhere then feel free to browse the co
机器学习系统设计案例与测试 Machine Learning Systems Design Cases & Tests
Practical examples of machine learning use cases in manufacturing
Machine Learning System Design
Best practices for segmentation of the corporate network of any company
A feasible digital twin solution prototype for industry 4.0, which will be demonstrated for offshore wind farms through lab-based physical twins and customized interactive 3D visualization along with AR platform that will enable two-way communication between physical and digital assets.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Topics - Linear Regression, Logistic Regression, Regularization, Neural Networks, System Design, Support Vector Machines, Unsupervised Learning (k-Means algorithm for clustering), Dimensionality Reduction (principal components analysis), Anomaly Detection, Recommender Systems, Large Scale Machine Learning, and Photo Optical Character Recognition.
The purpose of this repository is to concentrate information, concepts and studies for the Certified in Cybersecurity (ISC²) exam.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
This repo includes system design concepts, topics, AWS Services, capacity planning etc.
Today I Learned
Node-Red Training
Notes about "Attention is all you need" video (https://www.youtube.com/watch?v=bCz4OMemCcA)
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.