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  • Pandas Cheat Sheet

    Pandas is a powerful library in Python for data manipulation and analysis. It provides versatile tools to handle and analyze data efficiently. This cheatsheet serves as a quick reference for commonly used Pandas commands, categorized by their functionality to help you navigate through your data processing tasks with ease. Loading Data in Pandas These commands…

  • Two Great Tutorials on Diffusion Models

    Diffusion models are an essential part of modern machine learning and generative modeling. They are powerful tools for generating high-quality data, such as images, by gradually transforming random noise into meaningful content. These models have gained prominence for their ability to produce realistic and diverse outputs, making them a valuable asset in various AI applications,…

  •  Visual intro to Transformers by 3Blue1Brown’

    Introduction:In the rapidly evolving field of artificial intelligence, understanding the inner workings of Large Language Models (LLMs) like GPT (Generative Pre-trained Transformers) is essential for both developers and enthusiasts. This blog post highlights three insightful videos that break down core concepts behind these models: the fundamentals of transformers, the critical role of attention mechanisms, and…

  • DiT: OpenAI’s Sora & Stable Diffusion 3

    nice video by bycloud

  • Linear Classifiers

    In this post we will discuss linear classifiers a type of machine learning algorithm , we’ll start by discussing linear classifiers for two classes , then talk about   logistic regression for classification , a particular type of linear classifier. For an introduction to classification and other types of classifiers check out my post on K-nearest…

  • The Good, the Bad, and the Ugly 

    Check out this video on AI by Yaser Said Abu-Mostafa. Yaser is a Professor of Electrical Engineering and Computer Science at the California Institute of Technology, Chairman of Paraconic Technologies Ltd, and Chairman of Machine Learning Consultants LLC. He is known for his research and educational activities in the area of machine learning.

  • Monthly Machine Learning Course Recommendation

    As a practicing data scientist and machine learning educator, I’m always taking courses. Suppose you want to go directly to applications, learn the most current software and get a job. In that case, I recommend my IBM Data Science Professional Certificate or IBM Machine Learning Professional Certificate. This month’s course is Deep Learning at VU University Amsterdam. The slides break…

  • Monthly Machine Learning Course Recommendation

    As a practicing data scientist and machine learning educator, I’m always taking courses. Suppose you want to go directly to applications, learn the most current software and get a job. In that case, I recommend my IBM Data Science Professional Certificate or IBM Machine Learning Professional Certificate.  But sometimes, you want to get deeper into…

  • Classification with K-nearest Neighbors

    Introduction Classifiers are algorithms used by computers to classify data into a discrete class . For example a classifier can be used to recognize a human face in an image, every time you use your credit card, your credit card company may be running a Fraud detection algorithm using the information to determine if it…

  • Deep and Machine Learning