The Ultimate Computer Science Notes for Software Engineers and for Inquisitive Minds. 🚀
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Updated
May 23, 2024 - Jupyter Notebook
Software Engineering is the discipline of applying engineering principles and practices to the creation, maintenance, and design of software for a variety of applications. This topic covers a broad range of areas including requirements analysis, software design, programming, project management, testing, and maintenance. It emphasizes systematic, disciplined, and quantifiable approaches to the successful development of high-quality, reliable software systems.
The Ultimate Computer Science Notes for Software Engineers and for Inquisitive Minds. 🚀
Educational notebooks reviewing machine learning models and concepts.
Just my awesome notes 😎
Convert notebooks to modular code
Reference blog for notebooks, various studies, book exercises, tutorials, and other platforms.
Web browser based tool for analyzing execution order of computational notebooks
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an OBJECT DETECTION proxia when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a VOICE PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
✍ 记录一路走来学习的计算机专业知识 ,力求构建 AI & CS & SE 知识体系
Colab notebook exploring the Cervical Cancer Risk Dataset and models' performance to predict risk of cancer.
A notebook containing everything I learned or found useful as a software engineer
Runs command-line pipelines embedded in Markdown and CommonMark documents. Keeps your authored docs up to date. Even usable as an alternative to IPython notebooks.
This repository contains some summaries and notebooks from first and second modules of Udacity Machine Learning Engineer Nanodegree.
Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.
My notes 📘 and thoughts💭 on various tech and CS Theory subjects 🛠👨🏾💻
Created by Software engineers