AI-Expert-Roadmap
pycm
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AI-Expert-Roadmap | pycm | |
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30 | 18 | |
28,338 | 1,428 | |
1.5% | - | |
0.0 | 5.0 | |
4 months ago | 2 months ago | |
JavaScript | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AI-Expert-Roadmap
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Best AI ML DL DS Roadmap
**[I.am.ai AI Expert Roadmap](https://i.am.ai/roadmap)**: This roadmap focuses more on AI and includes various aspects of machine learning and deep learning. It's suitable for those who want to delve deeper into AI, particularly in cutting-edge research and applications.
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[D] Best AI ML DL DS Roadmap
Some roadmaps I have found: - [roadmap.sh] AI and Data Scientist Roadmap ← Best? - [i.am.ai] AI Expert Roadmap - [github.com] mrdbourke/machine-learning-roadmap - [github.com] luspr/awesome-ml-courses - [rentry.org] Machine Learning Roadmap
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[D] Roadmap.sh vs Al Expert Roadmap
[i.am.ai] AI Expert Roadmap
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Suggest which roadmap should I follow for ML?
1.https://i.am.ai/roadmap
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Where can I start?
I recommend this site where there's a roadmap for becoming an AI expert: https://i.am.ai/roadmap
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Can some one suggest Top certification courses for AI ?
Currently, I'm also learning about AI from this source https://github.com/AMAI-GmbH/AI-Expert-Roadmap
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How to study Machine Learning effectively?
I suggest following this roadmap. You might be put off by the amount of statistics topics, but it truly underpins almost all of machine learning so it's definitely useful to know.
- Como meterme al mundo AI
- Aprender IA siendo Programador?
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Mlops roadmap
Also: https://i.am.ai/roadmap/
pycm
- PyCM 4.0 Released: Multilabel Confusion Matrix Support
- PyCM 3.9 Released: Log-loss Support
- PyCM 3.8 Released: Distance/Similarity Support
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[P] PyCM 3.7 released: ROC curve and Precision-Recall curve are added
The complete change log of this version is available here.
- PyCM 3.7 Released: ROC/PR Curve Support
- PyCM 3.6 released: Multi-class confusion matrix library in Python
- PyCM 3.5 released: Multi-class confusion matrix library in Python
- PyCM 3.4 released: Multi-class confusion matrix library in Python
- [P] PyCM 3.3 released: Comparison of Classifiers Based on Confusion Matrix
What are some alternatives?
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
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InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
pretty-print-confusion-matrix - Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
LeetCode - This is my LeetCode solutions for all 2000+ problems, mainly written in C++ or Python.
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arbitrary-image-stylization-tfjs - Arbitrary style transfer using TensorFlow.js
ANN-decompiler - "AI" demystified: a decompiler