The Algorithms - C++
thealgorithms.github.io/C-Plus-PlusStudy algorithms implemented in C++ through this open-source learning repository.
Looking for something like Curriculum via Metro map? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 2 are open source.
This article maps a possible curriculum for becoming a data scientist and discusses where to begin learning the field.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | The Algorithms - C++ | — | Not stated | Linux, macOS, Web |
| 2 | Practical Deep Learning | — | Not stated | Web |
| 3 | 100-Days-Of-ML-Code | — | Yes | — |
| 4 | computer-vision-in-action | — | Not stated | — |
| 5 | BirdSounds | — | Not stated | Web |
| 6 | Artificial Intelligence: A Modern Approach | — | Not stated | Web |
| 7 | Introduction to machine learning with scikit-learn | — | Not stated | — |
| 8 | whoBIRD | — | Not stated | Android, Web |
| 9 | MLOps Guide | — | Not stated | Web |
| 10 | New Data Scientist | — | Not stated | Web |
Study algorithms implemented in C++ through this open-source learning repository.
Practical Deep Learning for Coders is a free course on applying deep learning and machine learning, designed for people with coding experience.
Follow a 100-day sequence of machine-learning coding exercises in this repository.
A computer vision learning platform with interactive online code, an ebook, source code, and a reader community.
Bird Sounds presents a collection of bird recordings, with sounds credited to the Macaulay Library and collaborators.
The Artificial Intelligence: A Modern Approach textbook site includes courses, exercises, and related resources.
This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn.
This Android app recognizes bird species from their sounds and includes an extensive database of bird recordings.
This guide introduces MLOps concepts and demonstrates their use with tools including DVC, CML, IBM Watson, Terraform, and Cookiecutter.
The Aspirational Data Scientist blog publishes data science commentary, course reviews, and career posts.
Data Science 101 is Ryan Swanstrom’s blog about learning to become a data scientist.
OpenDroneMap processes drone imagery to generate maps, point clouds, and 3D models.
A physics simulation compares two driven pendulums that begin almost identically to demonstrate chaotic sensitivity to initial conditions.
CESDB lists civil engineering software for professionals and students looking for tools in the field.
FlowingData publishes articles, projects, and learning resources about data visualization and statistics.
Learn data structures and algorithms through open-source implementations in multiple programming languages.
This OSINT Tips article explains how to investigate the source code of a website.
Humanity's Last Machine explains humanoid robotics hardware and related technologies in an illustrated article.
DeepLearning.AI offers short courses and specializations for learning artificial intelligence and data engineering.
A curated list collects engineering blogs for readers looking for articles and perspectives from the field.
The Brazilian Math Curriculum offers a self-directed mathematics education using online materials in Brazilian Portuguese.
ThrustCurve provides model and high-power hobby rocket motor data, including manufacturer specifications and certified performance.
Nextstrain tracks pathogen evolution in real time using genomic and epidemiological data.
S2DS provides a data science bootcamp focused on business experience and career transition.
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