# Welcome to the Machine Learning Pathway Welcome to our Machine Learning guidance site. We offer tailored pathways for individuals with varying experience levels. Explore our structured learning paths in sequence to enhance your understanding and skills in machine learning. --- ## **Pathways** Below you'll find different pathways of Machine Learning, Deep Learning, and more. Click on the links to explore deeper based on your current exposure: - [**Pathway 01 - Machine Learning for Python**](Python.md) *The foundation of Python Concepts and Machine Learning Libraries .* - [**Pathway 02 - Basic Machine Learning**](Machine%20Learning.md) *The foundation of ML concepts, algorithms, and approaches.* - [**Pathway 03 - Deep Learning**](Deep%20Learning.md) *Dive into neural networks, CNNs, RNNs, and more advanced models.* - [**Pathway 04 - Natural Language Processing**](Natural%20Language%20Processing) *Explore NLP technologies like work vectors, tokenisation and embedding* - [**Pathway 05 - Large Language Models (LLM)**](Large%20Language%20Model.md) *Explore the world of LLMs, such as GPT and BERT, and how they're transforming NLP.* - [**Pathway 06 - Computer Vision**](Computer%20Vision.md) *Learn about image classification, object detection, segmentation, and more.* --- ## **Visual Overview** ![[Visual 4.png]] --- ## **Recent Trends** Here are some of the latest notes added to the ML pathway: - [**NVIDIA AI**](https://medium.com/@NvidiaAI/enterprise-ai-with-gpu-integrated-infrastructure-3fefab028452) - [**DeepSeek**](https://machine-learning-made-simple.medium.com/deepseek-r1-model-distillation-and-how-da-ai-models-markets-will-be-impacted-5f576c4ad52c) - [**Exploring GPT-4.5**](https://openai.com/index/gpt-4-5-system-card/) - [**YOLO V-12**](https://docs.ultralytics.com/models/yolo12/) --- ## **Recommended Books and Resources** - **[Deep Learning Book by Ian Goodfellow](https://www.deeplearningbook.org/)** *The go-to resource for deep learning theory and practical applications.* - **[Python Machine Learning by Sebastian Raschka](https://sebastianraschka.com/books.html)** *An excellent guide for practical machine learning with Python.* - **[Fast.ai Deep Learning Course](https://course.fast.ai/)** *Free course focusing on deep learning techniques.* --- Feel free to explore and reach out if you have any questions or feedback! --- *Created by Author