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klotz: towardsdatascience*

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1. Using Large Language Models as Recommendation Systems

   A review of recent research and a custom implementatuon

   2023-10-25 Tags: mohamad aboufoul, towardsdatascience, llm, collaborative filtering, recommender, survey by klotz
2. The Self-Learning Path To Becoming A Data Scientist, AI or ML Engineer | by Jerry Buaba | Jul, 2020 | Towards Data Science

   The Self-Learning Path To Becoming A Data Scientist, AI or ML Engineer

   2020-08-05 Tags: data scientist, data engineering, machine learning, education, towardsdatascience by klotz
3. The Causal Inference “do” Operator Fully Explained, with an End-to-End, Example Using Python and DoWhy | by Graham Harrison | Dec, 2022 | Towards Data Science

   2022-12-20 Tags: causal, inference, do operator, python, root cause analysis, towardsdatascience by klotz
4. SBERT vs. Data2vec on Text Classification | by Jinhang Jiang | May, 2022 | Towards Data Science

   Each time you run the model, the results may vary a little bit. Overall, after 5 tries, I can conclude that SBERT has a bit better performance in terms of best f1 score while Data2vec used way less memory. The average f1 scores for both models are very close.

   2022-05-19 Tags: sbert, data2vec, text, classification, multi-label, nlp, machine learning, towardsdatascience by klotz
5. Intuitively Understanding Convolutions for Deep Learning

   2020-03-12 Tags: convolution, deep learning, sobel, cnn, medium, towardsdatascience, introduction by klotz
6. Hybrid Rule-Based Machine Learning With scikit-learn | by Lukas Haas | Jul, 2020 | Towards Data Science

   2020-08-04 Tags: rules, machine learning, scikit-learn, towardsdatascience by klotz
7. How to get job referrals as a shy data scientist? | by Ian Xiao | Sep, 2020 | Towards Data Science

   2020-09-23 Tags: towardsdatascience, jobs by klotz
8. How to Generate Instruction Datasets from Any Documents for LLM Fine-Tuning

   Generate instruction datasets for fine-tuning Large Language Models (LLMs) using lightweight libraries and documents.

   2024-04-04 Tags: llm, fine-tuning, instruction datasets, towardsdatascience by klotz
9. Enrich your Jupyter Notebook with these tips | by Zolzaya Luvsandorj | Nov, 2021 | Towards Data Science

   $$logloss(theta) = - {1 over m} sum_{i=1}^m (y_i ln(hat p(y_i=1)) + (1-y_i) ln(1-hat p(y_i=1)))$$

   2021-12-01 Tags: jupyter, markdown, latex, visualization, math, formatting, machine learning, data science, documentation, towardsdatascience, medium by klotz
10. Demystifying Matplotlib

    There’s a reason you’re confused

    2023-11-03 Tags: matplotlib, machine learning, statistics, pandas, python, model, towardsdatascience by klotz

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