How To Use The LazyPredict Python Library To Select The Best Machine Learning Model In One Line
Author(s): Serafeim Loukas, PhD Originally published on Towards AI. More details Photo by Andrea De Santis on Unsplash. Lazypredict is a cutting-edge Python library that revolutionizes the process of building machine-learning models. With Lazypredict, we can easily build a wide range of …
6 Steps To Take 1 Day Before To Prepare and Succeed in an AI Interview
Author(s): Himanshu Joshi Originally published on Towards AI. Strategies to prepare better U+1F64C Recently I was taking an Interview for a Data Scientist(Machine Learning) position in my company. The candidate interviewing for the role was not fit. I explained why he was …
Demystifying AI for everyone: Part 1 -NLP Basics
Author(s): Himanshu Joshi Originally published on Towards AI. In the age of ChatGPT, let's start with the basics Over the years, we humans have devised ways to communicate effectively with each other. One of the ways to communicate, and the most used …
Will ChatGPT replace Data Scientist???
Author(s): Himanshu Joshi Originally published on Towards AI. Nowadays, there has been a growing concern that Chat GPT could lead to widespread job displacement, with it replacing human workers in many industries. While it is true that Chat GPT has the potential …
Learnings From My Data Science Career So Far
Author(s): Harshit Sharma Originally published on Towards AI. Data Science is huge, and so are the chances of getting lost. Each one of us — the Data Scientists and MLEs — has to be good in Maths, Coding, System Design, MLOPs, and …
Hugging Face’s LoRA is a Simple Framework for Fine-Tuning Text-to-Image Models
Author(s): Jesus Rodriguez Originally published on Towards AI. The framework is integrated into the Diffusers library and maintains compatibility with Dreambooth. Image Credit: Hugging Face I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS …
Microsoft Open Sources LMOps: A New Research Initiative to Enable Applications Development with Foundation Models, Part II
Author(s): Jesus Rodriguez Originally published on Towards AI. A collection of research papers and open-source toolkits to streamline core building blocks of application development with foundation models. Image Credit: https://www.protocol.com/enterprise/foundation-models-ai-standards-stanford I recently started an AI-focused educational newsletter, that already has over 150,000 …
How Can Lean Methodology Add Value to Your Machine Learning Deployments?
Author(s): Antonis Stellas Originally published on Towards AI. Photo by Stephen Phillips – Hostreviews.co.uk on Unsplash Machine learning (ML) is revolutionizing the way companies operate, but deploying ML models can be challenging. In this article, we will explore how lean methodology can …
The Non-Convexity Debate in Machine Learning
Author(s): Towards AI Editorial Team Originally published on Towards AI. Unpacking Mean Squared Error’s Impact on Logistic Regression Photo by DeepMind on Unsplash Author(s): Pratik Shukla “If you can’t, you must. If you must, you can.” — Tony Robbins Table of Contents: …
Meta Releases LLaMA: Will It Fail Too?
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Page by Page Review: LLaMA: Open and Efficient Foundation Language Model Meta is releasing LLaMA to compete with PaLM and Chinchilla. Will it suffer the same fate as Blenderbot and Galactica? …
“AutoML, NAS and Hyperparameter Tuning: Navigating the Landscape of Machine Learning Automation”
Author(s): Arjun Ghosh Originally published on Towards AI. “AutoML is one of the hottest topics in the field of artificial intelligence, with the potential to democratize machine learning and make it more accessible to non-experts.” — Andrew Ng, Co-founder of Google Brain …
Modeling Manufacturing Data Using Markov Chains
Author(s): Ning Jia Originally published on Towards AI. Markov process, despite its simplicity, continues to find practical uses with real-world manufacturing datasets. Markov chain is a simple mathematical model with wide machine-learning applications. It tries to model a system that transitions from …
Page by Page Research Review: BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Abstract: This case study on text generation further demonstrates the advantage of BioGPT on biomedical literature to generate fluent descriptions for biomedical terms. Pre-trained language models have attracted increasing attention in …
5 Paradoxes in Statistics Every Data Scientist Should be Familiar With
Author(s): Simranjeet Singh Originally published on Towards AI. Top highlight Introduction Statistics is an essential part of data science, and it provides us with various tools and techniques to analyze and understand data. However, sometimes statistical results can be counterintuitive or even …
Computer Vision Tutorial Series M2C1
Author(s): Sujay Kapadnis Originally published on Towards AI. Module 2 — Convolutional Filters and Edge Detection Chapter 1 — Fourier Transform Starting here? This article is part of a computer vision Tutorial Series. Here’s where you can start. Learning Objectives: What is …
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