AI Coding Assistants: Attribution, Copyrights, Moral Rights and more… — What’s AI episode 12
Author(s): Louis Bouchard Originally published on Towards AI. An interview with David Mertz, senior developer, data scientist, and author U+1F399️ Check out this insightful interview with David Mertz, senior developer, data scientist, and author, who explores the fascinating world of generative AI …
Univariate, Bivariate, and Multivariate Analysis
Author(s): Ann Mary Shaju Originally published on Towards AI. A beginner guide to exploratory data analysis using Matplotlib and Seaborn Photo by Luke Chesser on Unsplash Data is increasing daily, and in order to understand useful information and gain insights from data …
Understanding LangChain 🦜️🔗: Part:2
Author(s): Chinmay Bhalerao Originally published on Towards AI. Understanding LangChain U+1F99C️U+1F517: Part:2 Implementing LangChain practically for building custom data bots involves incorporating memory, prompt templates, and Chains, and creating web-based applications Image by author WE CAN CONNECT ON :U+007C LINKEDIN U+007C TWITTER …
The Pandas DataFrame Agent: LangChain and GPT-4
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Simplifying Data Analysis with Natural Language Processing Image by Author with @MidJourney Data analysis and data manipulation are fundamental data science tasks carried out daily in the field. Efficient and fast data transformation …
Unleash the Power of Multivariate Time Series Forecasting with Vector Autoregression (VAR) Models: a theoretical introduction
Author(s): David Andres Originally published on Towards AI. Photo by Veronica Reverse on Unsplash There are times when we need to forecast several variables at the same time. For these occasions, traditional methods such as ARIMA or Exponential Smoothing are not sufficient …
5 Game-Changing Free Tools to Enhance Your Data Science Portfolio
Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: Establishing an impressive data science portfolio is integral to showcasing your talents, attracting prospective employers or collaborators, and progressing your career in data science. Compelling projects are necessary, but using the …
This AI newsletter is all you need #48
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week in AI has witnessed significant announcements from OpenAI as well as increasing pressure on the company, including Sam Altman’s testimony in the …
A Quick Introduction to Machine Learning: Part-2 (Regression)
Author(s): Abhijith S Babu Originally published on Towards AI. In this article, we are going to see some of the supervised learning techniques. Before reading this article, read part-1 to have a basic idea about supervised learning. One of the commonly used …
US Department of Education’s DataLab: A Data Scientist’s Guide
Author(s): Adam Ross Nelson Originally published on Towards AI. An Insider’s Guide to Navigating and Sharing Educational Insights As a data scientist, one of the fascinating aspects of our work is that it is, by nature, replicable. This characteristic promotes transparency and …
Unraveling Sports Simulations, in 14Q’s with ChatGPT
Author(s): Karan Bhatti Originally published on Towards AI. Q1 to Chat GPT : The complex concept of simulations in sports has eluded me for years, despite spending a couple of years with a sports betting firm. I had not acquired an understanding …
FineTuning Local Large Language Models on Your Data Using LangChain
Author(s): Serop Baghdadlian Originally published on Towards AI. Stop sending your private data through OpenAI API! Use local and secure LLMs like GPT4all-J from Langchain instead. Photo by Annie Spratt on Unsplash The recent introduction of Chatgpt and other large language models …
Inside Guidance: Microsoft’s New Open Source Framework for Improving the Control in LLM Apps
Author(s): Jesus Rodriguez Originally published on Towards AI. Guidance provides a very simple yet comprehensive syntax for architecting complex LLM workflows. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a no-BS (meaning …
Building a Classification Model To Score 80+% Accuracy on the Spaceship Titanic Kaggle Dataset
Author(s): Devang Chavda Originally published on Towards AI. This article will walk you through detailed forward feature selection steps and model building from scratch, improving it further with fine-tuning. Photo by NASA on Unsplash Data pre-processing of spaceship-titanic kaggle dataset for achieving …
Defining Your Product’s North Star Metrics and Leading Indicators
Author(s): Lisa Cohen Originally published on Towards AI. Top highlight One key role that data science teams play is defining metrics and setting targets for the product and company. Having a clear set of success metrics is a very effective way to …
Test-Driven Application Development with Large Language Models
Author(s): Prajwal Paudyal Originally published on Towards AI. Towards engineering an LLM application. (Image created by author on Stable Diffusion) The following are my insights about Test Driven Application Development for Large Language Model powered applications. I have been working on an …
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