Mathematical Transformations in Feature Engineering: Log, Reciprocal, and Power Transforms Explained with Visualization
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re preparing to bake a cake, but some ingredients are piled high, and others barely fill the spoon. Without smoothing out …
Optimizing Machine Learning Models: A Deep Dive into Hyperparameter Tuning Techniques
Author(s): MD TAHSEEN EQUBAL Originally published on Towards AI. Grid Search, Random Search and Bayesian Optimization Introduction to Hyperparameters Hyperparameters are the external parameters of a machine learning model that are not learned from the data. Instead, they are set before the …
Forget Houses, Smart Investors Are Buying Data Centers. Here’s Why.
Author(s): KayDee Originally published on Towards AI. How data centers became hot real estate investments. This member-only story is on us. Upgrade to access all of Medium. Photo by Shubham Dhage on Unsplash Not a Medium Member? Read this Article for Free …
Building a Simple Linear Regression Model on Azure to Predict Car Prices
Author(s): Julius Nyerere Nyambok Originally published on Towards AI. Hello there, gentle reader!I am Nyerere Julius, an aspiring machine learning engineer and cloud solution specialist, deeply intrigued by the vast possibilities that AI and ML offer. In this project, I’ll guide you …
Simplifying Data Preprocessing with ColumnTransformer in Python: A Step-by-Step Guide
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re in a busy kitchen, trying to prepare a gourmet meal. You’ve got various ingredients laid out, each needing a different …
Encoding Categorical Data: A Step-by-Step Guide
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re baking a cake, but instead of sugar, flour, and eggs, you have words like “vanilla,” “chocolate,” and “strawberry” on your …
Simplifying LLM Development: Treat It Like Regular ML
Author(s): Ori Abramovsky Originally published on Towards AI. Photo by Daniel K Cheung on Unsplash Large Language Models (LLMs) are the latest buzz, often seen as both exciting and intimidating. Many data scientists I’ve spoken with agree that LLMs represent the …
The Data Science Mentor
Author(s): Alessandro Romano Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by Susan Q Yin on Unsplash We all had a mentor. Sometimes, it is a parent or just someone who dropped …
Why are Data Scientists Afraid to Use Test Driven Development?
Author(s): Lazar Gugleta Originally published on Towards AI. Software engineering should be one of the primary skills of Data Scientists. This member-only story is on us. Upgrade to access all of Medium. Programming differs from Software Engineering and especially Data Science, but …
Google’s Gemma2-2B, A Compression Marvel
Author(s): Ignacio de Gregorio Originally published on Towards AI. How to Build a Small TitanSource: Generated by author using GPT-4o Google has reached a new milestone in AI by training a 2 billion parameter model, absolutely minute in today’s terms, that surpasses …
TensorFlow vs. PyTorch: What’s Better for a Deep Learning Project?
Author(s): Eashan Mahajan Originally published on Towards AI. Photo by Marius Masalar on Unsplash Deep learning. A subset of machine learning utilizing multilayered neural networks, otherwise known as deep neural networks. Allowing society to simulate the decision-making prowess the human brain possesses, …
Beyond LLMs: Compounds Systems, Agents, and Whole AI Products
Author(s): Adel Zaalouk Originally published on Towards AI. A Framework for Building Great AI Products Introduction The other day, I found myself reflecting on a classic concept that I was taught in business school, Maslow’s hierarchy of needs, a simple but powerful …
Why Polars Destroy Pandas in All Possible Ways for Data Scientists?
Author(s): Lazar Gugleta Originally published on Towards AI. One of the first Data Science libraries, Pandas, has been improving the lives of many developers across the globe, but Polars shows it is time to move on. Pandas needs no introduction, but this …
From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams
Author(s): Gift Ojeabulu Originally published on Towards AI. From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams Photo by Parabol | The Agile Meeting Toolbox on Unsplash In this article, we will explore the essential VS …
5 Top Large Language Models & Generative AI Books
Author(s): Youssef Hosni Originally published on Towards AI. Master LLMs & Generative AI Through These Five Books This article reviews five key books that explore the rapidly evolving fields of large language models (LLMs) and generative AI, providing essential insights into these …
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