Overview of Object Detection Evaluation Metrics
Author(s): Youssef Hosni Originally published on Towards AI. How to Measure the Accuracy of Object Detection Models? This member-only story is on us. Upgrade to access all of Medium. When evaluating the performance of an object detector, we use two main evaluation …
Log-normal Distribution Simply Explained
Author(s): Egor Howell Originally published on Towards AI. A slight modification of the famous normal distribution This member-only story is on us. Upgrade to access all of Medium. Photo by James Yarema on Unsplash The normal distribution is a household name, particularly …
🦜🔗Build Robust ML Backends with Pydantic and Langchain
Author(s): Marcello Politi Originally published on Towards AI. Learn how to prevent users and LLMs mistakes in your code Photo by Bradley Ziffer on Unsplash This member-only story is on us. Upgrade to access all of Medium. It is well known that …
Client-Side Form Validation using JavaScript
Author(s): Vivek Chaudhary Originally published on Towards AI. The objective of this article is to learn how to perform form validations in JavaScript. For our learning purpose, I have designed an Employee Records Keeping website form using HTML, CSS, and JavaScript. All …
Steepest Descent and Newton’s Method in Python, from Scratch: A Comparison
Author(s): Nicolo Cosimo Albanese Originally published on Towards AI. Implementing the Steepest Descent Algorithm in Python from Scratch This member-only story is on us. Upgrade to access all of Medium. Image by author.IntroductionProblem statement and steepest descentNewton’s methodImplementationConclusions and Final Comparison In …
Bank Complaints Fictional Data
Author(s): Adam Ross Nelson Originally published on Towards AI. Introducing a new set of fictional data for training, testing, demonstration, and educational purposes This member-only story is on us. Upgrade to access all of Medium. This article introduces a new fictional set …
From Raw to Refined: A Journey Through Data Preprocessing — Part 3: Duplicate Data
Author(s): Shivamshinde Originally published on Towards AI. This article will explain how to identify duplicate records in the data and, the different ways to deal with the problem of having duplicate records. Photo by Pineapple Supply Co. on Unsplash Why the presence …
Learn How to Train Object Detection Models With MMDetection
Author(s): Leon Eversberg Originally published on Towards AI. A step-by-step tutorial on training state-of-the-art AI models with MMdetection 3.1, CVAT, and TensorBoard This member-only story is on us. Upgrade to access all of Medium. Terminal output of a running training process with …
How to Define an AI Problem
Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. A better way to ask an AI/ML question Towfiqu barbhuiya on Unsplash With more than 25 years of software engineering experience, I have answered a lot of questions from software developers who …
What does “Garbage in, garbage out” mean in solving real business problems?
Author(s): Zijing Zhu Originally published on Towards AI. and how to avoid it with a practical workflow Photo by Gary Chan on Unsplash This member-only story is on us. Upgrade to access all of Medium. In today's business landscape, relying on accurate …
Most Powerful Machine Learning Models Explained (Transformers, CNNs, RNNs, GANs …)
Author(s): Oleks Gorpynich Originally published on Towards AI. Midjourney Generated Image Machine Learning is a massive field, and it’s understandably difficult to find a source that gives an overview of what models and techniques are at the bleeding edge of the tech …
Building Intuition on the Concepts behind LLMs like ChatGPT — Part 1- Neural Networks, Transformers, Pretraining, and Fine Tuning
Author(s): Stephen Bonifacio Originally published on Towards AI. https://twitter.com/Stepanogil/status/1617907019692019714?s=20 I’m sure I’m not the only one, but if it wasn’t too apparent from my tweet back in January, my mind was completely blown away when I first encountered ChatGPT. The experience was …
READ Avatars: Realistic Emotion-controllable Audio Driven Avatars
Author(s): Jack Saunders Originally published on Towards AI. Adding Emotional Control to Audio-Driven Deepfakes READ Avatars takes a reference video and any audio and can produce lip-synced videos in any emotion with fine-grained control over the intensity. One of the critical limitations …
AI and The Future of College Football
Author(s): Giovanni Malloy Originally published on Towards AI. Here is how AI thinks conference realignment ends The landscape of college athletics has once again shifted thanks to money and football. The SEC struck first, grabbing Texas and Oklahoma, followed by the Big …
Swipe Right for Your Career: Build A Tinder for Jobs
Author(s): Anand Taralika Originally published on Towards AI. A tech deep-dive to build the ultimate hiring platform using large language models & vector databases Photo by Cytonn Photography on Unsplash “Do you know what’s harder than finding a needle in a haystack? …
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