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AI & Machine Learning From Scratch: Build Real-World Models
https://WebToolTip.com
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 1m | Size: 1.35 GB
Build real AI & Machine Learning models from scratch using Python, PyTorch & OpenCV — no ChatGPT, no pre-trained APIs
What you'll learn
Build strong foundations in Python, statistics, linear algebra, and data handling required for real-world machine learning workflows.
Train, evaluate, and optimize machine learning models using supervised, unsupervised, semi-supervised, and self-supervised techniques.
Design and train deep learning models including CNNs, Vision Transformers, and NLP transformers using PyTorch and HuggingFace.
Create industry-ready ML, Computer Vision, and NLP projects with interpretability, evaluation metrics, and deployment-ready pipelines.
Requirements
Basic programming knowledge is helpful but not mandatory. All concepts are explained from scratch with practical, step-by-step examples.
Learners should have a computer (Windows, macOS, or Linux), a stable internet connection, and the ability to install free tools like Python and VS Code.
A willingness to learn mathematics, coding, and problem-solving is essential. No prior experience in machine learning or deep learning is required. |
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