My AI and ML Roadmap as a Developer
Posts
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Day 39 - Checking out other courses (most are 2+ years old)
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Day 38 - Standford AI - Constraint Satsifaction Prolems
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Day 36 - Python For Data Analysis - Timeseries data
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Day 36 - Stanford AI/ML - Game Play (2 of 2)
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Day 35 - Finetuning with Unsloth
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Day 34 - Return to Standford AI/ML Class
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Days 28 through 33 - eBook: Python for Data Analysis
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Day 27 - Google 5 Day Course continued - Agents, Google’s AI Evaluation API
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Day 25 and 26 - Google 5 Day Course continued - Embeddings and Vectors Stores
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Day 24 - Google 5 Day Course continued, Options to add your own data to an LLM, Evaluating your Responses before presenting
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Day 23 - RAG Knowledge Graphs, Google’s 5 Day Course
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Day 22 - LLMs as a part of a System, Hackers Guide to Large Language Models, NLP Deep Dive
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Day 21 - Fast.ai - Finish Lesson 7, Collaborative Filtering, Embeddings, (Mid-Level API)
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Day 20 - Standford AI - Markov Decision Processes - Policy Evaluation, Optimal Value/Policy, Reinforcement Learning
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Day 19 - Thanksgiving Learnings: Finetuning, Prompt Engineering and LLM Applications
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Day 18 - Stanford AI: A* Search, Heuristics and Fast.ai Lesson 7 (Road to the Top part 3)”
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Day 17 - AI/ML Search Algorithms and Optimization Notes (Stanford CS221)
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Day 16 - Insights on Random Forests, Generalization, and K-Means
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Day 15 - Random forests, Out-of-Bag Error, Ensemble, Boosting
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Day 14 - Backpropagation (computing gradients), Differentiable Programming, BERT, RNN vs Transformers
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Day 12 and 13 - Pet Breeds Classifier, Multi-Classification, Sizing and Test Time Augmentation
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Day 11 - NLP intro, Python Data Processing Resources
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Day 10 - Ethics, Pet Detective, ReLu, Loss Functions, Learning Rate
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Days 8 and 9 - Stochastic Gradient Descent
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Day 6 and 7 - No catchy title, just getting it done
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Day 5 - Learning Top Down and Bottom Up
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Day 4 - Uncertain of current path
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Day 3 - More Math for AI/ML
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Day 2 - Research Standard Online Options
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Day 1 - Planning to take the Stanford AI course
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Day 40 - Last day of training before getting back to building!
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