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 …
Understanding Data Selection in Pandas
Author(s): Gencay I. Originally published on Towards AI. Why would we use loc iloc or ix? Created in Leonardoai The Python programming language is an important asset in data science and analytics due to its user-friendly nature and robust libraries. Pandas, one …
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, …
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 …
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 …
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 …
Using Large Language Models (LLMS) In Production
Author(s): Serop Baghdadlian Originally published on Towards AI. A beginner-friendly introduction to using ChatGpt for a classification problem in production using LangChain. Photo by Ant Rozetsky on Unsplash The recent introduction of Chatgpt and other large language models has unveiled their true …
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 …
Unleash Data Insights: Mastering AI for Powerful Analysis
Author(s): Amit Kumar Originally published on Towards AI. Discover the Hype Around AI: ChatGPT and Google Bard Unveiled! By now, you must have come across the exciting talk about AI tools such as ChatGPT and Google Bard. ChatGPT, in particular, created a …
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 …
Sentiment Analysis in Python Using VADER
Author(s): Mahesh Tiwari, PhD Originally published on Towards AI. Welcome to our next blog post in the series on sentiment analysis! Today, we will be exploring VADER, one of the methods used in the Python library for sentiment analysis. Photo by Tim …
AI Innovation and the Future of Education.
Author(s): Alinadilawaiz Originally published on Towards AI. image from Pexels by michelangelo buonarroti Hello! I’m Aleena. I’ve been thinking about how our education system might change in the future and whether it will feel good or bad. When I was in school, …
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