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4. Machine learning regression. Train a machine learning model to predict continuous values. For instance, use Regression to forecast secondary school student performance or estimate daily business visitors. Dataset: archive.ics.uci.edu/dataset/320/st…

*** The Misclassification Dilemma: Data Difficulty vs. Model Tuning *** You are facing a classic machine learning trilemma: Is the failure to classify two points due to the inherent difficulty of the data or sub-optimal model tuning? I. The Core Problem: Three Causes * Data…

Client wants me to solve leetcode ( not really ): Another day another client to take to fund my ML shananigans. And it feels like a leetcode problem that I priced a bit too low, because it felt like simple greedy algo, when negotating with a company. If I had a penny each time…

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8. Machine Learning Terminology and Process This course teaches basic machine learning concepts and the data process. We explain each step in detail and common terms in an ML project. Link: classcentral.com/course/machine…

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Have a database of X tasks, each task with Y samples, where each sample is made in a similar style. Show N samples for each task to an LLM, where 1<=N<Y and ask the LLM to do a new task. Measure accuracy the higher X is, and smaller N is.

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try suffixing any request with "Before giving me your output, ask me 5 questions one by one in order to gather context. Prioritize the highest priority question each time you ask one in order to gather the context you need to give a high quality output." Reasoning: - bad context…

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