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For different learning styles, goals, and comfort levels, finding a course that matches how you learn is HARD. Some people need visuals. While others wanna jump straight into code. Some need structure, others need flexibility. And many learners just want proof of effort at the end in the form of a certificate. This list is built with that in mind. A list of free ML courses, each for a different type of learner, so you can stop forcing yourself into the wrong format and start learning in a way that works for you. From the classroom lover to the hermit, this article got everyone covered. …

The last two years were defined by a single word: Generative AI. Tools like ChatGPT, Gemini, and Claude turned AI from a tech term to a household name. However, we are now entering the next phase of the AI evolution. The conversation is shifting from AI that generates to AI that acts. Gone are the days of guiding AI as an instructor, every step of the way. This is the era of Agentic AI.  While they share the same DNA, the difference between a Generative AI and Agentic AI, as you’ll soon realize, is the difference between a calculator and…

Google recently introduced Gemini Embedding 2, its first natively multimodal embedding model. This is an important step forward because it brings text, images, video, audio, and documents into a single shared embedding space. Instead of working with separate models for each type of data, developers can now use one embedding model across multiple modalities for retrieval, search, clustering, and classification.  That shift is powerful in theory, but it becomes even more interesting when applied to a real project. To explore what Gemini Embedding 2 can do in practice, I built a simple image-matching system that identifies which person in a…

You reading this tells me you wish to learn more about Excel. This article continues our Excel series, where we explored the VLOOKUP function in the last iteration. The complete VLOOKUP guide demonstrated how the function works and how best to use it. This time, we shall bring the same focus to conditional logic and formulas like the IF function in Excel. The aim is to understand the different types of conditional logics and know how to use their operators in a working function inside Excel. So, no fluff needed here. Let’s simply dive in, starting with what Conditional Logic…

The European Union’s Artificial Intelligence Act, which came into effect on August 1, 2024, has ushered in a new era of AI regulation with global implications. This groundbreaking legislation extends its reach beyond European borders, affecting all entities utilizing AI technology that impacts EU citizens or employees – regardless of the company’s physical location. The impact on the healthcare sector is particularly significant. The Act identifies several AI applications in healthcare as high-risk, subjecting them to stringent regulatory requirements. This classification encompasses a wide range of AI-driven healthcare technologies, from diagnostic tools to patient management systems. If your company is…

Image by Author   # Introduction  When designing an application, choosing the right SQL database engine can have a major impact on performance. Three common options are PostgreSQL, MySQL, and SQLite. Each of these engines has unique strengths and optimization strategies that make it suitable for different scenarios. PostgreSQL typically excels in dealing with complex analytical queries, and MySQL can also deliver robust general-purpose performance. On the other hand, SQLite offers a lightweight solution for embedded applications. In this article, we’ll benchmark these three engines using four analytical interview questions: two at medium difficulty and two at hard difficulty. In each…

Most AI tools forget you as soon as you close the browser window. The system begins all interactions with a new user. AI agents provide a solution to this problem because they handle their complete workflow through their system. MaxClaw is one of the best in this category. MiniMax developed this system which operates completely from the cloud space. The system requires no installation procedures because users need neither to download anything nor to configure anything nor to perform upkeep tasks.  For those unaware, the MiniMax M2.5 foundation model, operating on the open-source OpenClaw framework, powers MaxClaw. MaxClaw operates as a continuous AI system that maintains…

Image by Author   # Introduction   All tutorials on data science make detecting outliers appear to be quite easy. Remove all values greater than three standard deviations; that’s all there is to it. But once you start working with an actual dataset where the distribution is skewed and a stakeholder asks, “Why did you remove that data point?” you suddenly realize you don’t have a good answer. So we ran an experiment. We tested five of the most commonly used outlier detection methods on a real dataset (6,497 Portuguese wines) to find out: do these methods produce consistent results? They…

I asked ChatGPT how it feels about the recent and viral AI trend of switching from ChatGPT to Claude. Here is what it said: “As for how it makes me feel: I don’t have feelings or brand loyalty. But from a usefulness standpoint, it’s a good thing. Easier switching forces AI products to compete on trust, performance, and user experience instead of trapping people with context lock-in. If Claude makes migration easier, that raises the bar for everyone.” Those are some hard facts. I’m glad ChatGPT is having a healthy approach to competition, but more importantly, it admits that Claude…

Image by Editor   # Introduction  Data pipelines in data science and machine learning projects are a very practical and versatile way to automate data processing workflows. But sometimes our code may add extra complexity to the core logic. Python decorators can overcome this common challenge. This article presents five useful and effective Python decorators to build and optimize high-performance data pipelines. This preamble code precedes the code examples accompanying the five decorators to load a version of the California Housing dataset I made available for you in a public GitHub repository: import pandas as pd import numpy as np …