From Text to Beyond Words
Author(s): Akash Rawat Originally published on Towards AI. A brief history of the Large Language Models (LLMs) Photo by Andy Kelly on Unsplash It seems probable that once the machine thinking method had started, it would not take long to outstrip our …
Understanding AI, Machine Learning, Deep Learning
Author(s): Gencay I. Originally published on Towards AI. Differences and Similarities of the AI, Machine Learning, and Deep Learning in the Data Science Field. Created in LeonardoAI. As a beginner Data Scientist, you might have come across buzzwords like Artificial Intelligence (AI), …
How Do 8 Smaller Models in GPT-4 Work?
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. The secret “Model of Experts” is out; let's understand why GPT4 is so good! This member-only story is on us. Upgrade to access all of Medium. In recent years, deep learning …
When and When Not to Use Machine Learning in Your Business Strategy
Author(s): Andrea D’Agostino Originally published on Towards AI. Going blindly for an ML-powered solution could lead to unseen perils. Explore the benefits and challenges of adopting machine learning models to make informed decisions Photo by Juan Rumimpunu on Unsplash It’s not an …
When and When Not to Use Machine Learning in Your Business Strategy
Author(s): Andrea D’Agostino Originally published on Towards AI. Going blindly for an ML-powered solution could lead to unseen perils. Explore the benefits and challenges of adopting machine learning models to make informed decisions Photo by Juan Rumimpunu on Unsplash It’s not an …
Yes, You Can Build Your Own Custom Sklearn Transformers. Here Is How
Author(s): Bex T. Originally published on Towards AI. Transformers for any preprocessing scenario Learn to write custom Sklearn preprocessing transformers that make your code exceptional. Image by me with Midjourney Single fit, single predict—how awesome would that be? You get the data, …
Better than GPT-4 for SQL queries: NSQL (Fully OpenSource)
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. NSQL is a new family of open-source large foundation models (FMs) designed specifically for SQL generation tasks Raise your hand if you have tried to use ChatGPT or any of the …
NSQL: First Ever Fully OpenSource SQL Foundation Model
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. NSQL is a new family of open-source large foundation models (FMs) designed specifically for SQL generation tasks Raise your hand if you have tried to use ChatGPT or any of the …
5 Reasons Why Data Science Is Awesome
Author(s): Egor Howell Originally published on Towards AI. Listing five key reasons why you should consider being a data scientist Photo by Stephen Dawson on Unsplash I have been working as a data scientist for nearly 2 years now. In that time, …
Unleashing the Power of Feature Scaling in Machine Learning
Author(s): Roli Trivedi Originally published on Towards AI. Scaling up Success: Power of Normalization and Standardization Photo by Ralph (Ravi) Kayden on Unsplash Feature Scaling is the process to standardize or normalize the input feature of a dataset to transform the values …
Classification Metrics Clearly Explained!
Author(s): Jose D. Hernandez-Betancur Originally published on Towards AI. Let’s dive into the classification metrics 1. Introduction One of the first things that people who are new to data science learn is how to measure how well algorithms work. When I first …
Heteroscedasticity and Homoscedasticity in Regression Learning
Author(s): Jose D. Hernandez-Betancur Originally published on Towards AI. Variability of the residual in regression analysis 1. Introduction In data science and statistical analysis, several challenges can appear during the modeling process, making it difficult to get high-performance models. One of those …
Density-Based Clustering Algorithm from Scratch in Julia
Author(s): Jose D. Hernandez-Betancur Originally published on Towards AI. Let’s code in Julia as a Python alternative in data science Image by Author 1. Introduction Julia is a strong and dynamic programming language that, in the last few years, has increased its …
Gradient Checkpointing
Author(s): Harshit Sharma Originally published on Towards AI. To “scale” new heights in model training Gradient Checkpointing (aka Re-compute technique/activation checkpointing) is an approach that trades compute for memory and is helpful in scenarios where the available GPU memory is not enough …
The Complete Guide to Data Preprocessing (Part 1)
Author(s): Dr. Roi Yehoshua Originally published on Towards AI. Data preprocessing is the process of cleaning, transforming, and organizing your data set in order to prepare it for data analysis and modeling. It aims to improve the quality, integrity, and reliability of …
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