Machine Learning Interviews
In-depth article on interview questions, career advice.
73
Resources
Intermediate
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Planning, tools, memory patterns
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Evaluation, monitoring, deployment
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Resource list
In-depth article on interview questions, career advice.
In-depth article on rag, evaluation.
In-depth article on architecture.
In-depth article on architecture.
In-depth article on production.
In-depth article on architecture.
In-depth article on api, agents.
Video walkthrough on architecture.
Video walkthrough on vision, architecture.
Video walkthrough on architecture.
Video walkthrough on architecture, transformers.
Open-source project for rag, ai tools.
Open-source project for rag, ai tools.
Open-source project for rag, ai tools.
Open-source project for rag, ai tools.
Open-source project for speech.
Open-source project for structured output.
Open-source project for agents.
Open-source project for agents.
Open-source project for rag, evaluation.
Open-source project for rag.
Open-source project for agents.
Open-source project for rag, agents.
Open-source project for agents, architecture.
Step-by-step guide for api, agents.
Step-by-step guide for transformers.
Step-by-step guide for rag, production.
Step-by-step guide for agents, production, architecture.
Step-by-step guide for agents, architecture.
Step-by-step guide for rag, agents, architecture.
Step-by-step guide for rag, production, ai tools.
Step-by-step guide for rag, production, ai tools.
Step-by-step guide for rag, production, ai tools.
Step-by-step guide for api.
Step-by-step guide for production, architecture.
Step-by-step guide for production, architecture.
Step-by-step guide for production, architecture.
Structured course covering vision.
Structured course covering architecture.
Structured course covering architecture.
Structured course covering evaluation, production, mlops.
Structured course covering api, architecture.
Structured course covering fine tuning, production.
Structured course covering production, evaluation, mlops.
Structured course covering rag, evaluation, production.
Structured course covering architecture.
Purpose-built vector database for AI applications. Powers semantic search, RAG, and similarity matching.
Browse state-of-the-art AI research papers with code implementations. Stay updated with latest advances.
Understand algorithmic bias: sources, detection, mitigation strategies, and building fair ML systems.
Course on ethical considerations in AI development, bias detection, fairness, and responsible AI practices.
Containerize ML applications with Docker. Ensure reproducibility and easy deployment across environments.
Learn to deploy machine learning models as REST APIs using FastAPI. Fast, modern, and production-ready.
Critical discussion on AI safety, alignment problems, and building beneficial AI systems that align with human values.
Create autonomous AI agents that can use tools, reason, and take actions to complete complex tasks.
Foundational course on RL covering MDPs, Q-learning, policy gradients, and actor-critic methods.
Run large language models on your own machine. Privacy-focused, free, and easy to use.
Track, visualize, and optimize ML experiments. Essential tool for MLOps and reproducible research.
Build powerful LLM applications with LangChain. Chains, agents, memory, and RAG made simple.
State-of-the-art NLP library with thousands of pre-trained models. Easy fine-tuning and deployment.
Master TensorFlow 2.0 for building and deploying ML models. Covers Keras, TF Lite, and TF.js.
Complete PyTorch course from basics to advanced. Build neural networks, CNNs, RNNs, and deploy models.
Official guide to building applications with ChatGPT API. Includes best practices, examples, and cost optimization.
Complete guide to Stable Diffusion: how it works, prompt engineering, fine-tuning, and running locally.
Master YOLO (You Only Look Once) for real-time object detection. Includes YOLOv5, YOLOv8, and deployment.
Practical computer vision tutorials with OpenCV and Python. From basics to advanced deep learning applications.
Learn to build LLM applications with LangChain: chains, agents, memory, RAG, and production deployment.
Visual explanation of the Transformer architecture that powers modern LLMs. Clear diagrams and intuitive explanations.
Complete course on NLP using transformers. Covers BERT, GPT, T5, and fine-tuning for various tasks.
Step-by-step tutorial building a neural network without frameworks. Understand backpropagation deeply.
Deep dive into Convolutional Neural Networks: filters, pooling, architectures like ResNet, VGGNet, and practical...
Top-down approach to deep learning. Start coding neural networks from day one. Uses PyTorch.
Andrew Ng's comprehensive deep learning course covering neural networks, CNNs, RNNs, and more. 5-course specialization.
MIT's introductory course on AI covering search, knowledge representation, machine learning, and neural networks.