Understand AI Interpretability & Explainability
Author(s): Stavros Theocharis Originally published on Towards AI. Future trust depends on precise definitions Image generated by DALL-E Introduction It has become an urgent expectation to interpret and demystify black-box algorithms to increase their adoption. A growing number of organizations have begun …
Top 10 Interview Questions on Evaluation Metrics in Machine Learning
Author(s): Simranjeet Singh Originally published on Towards AI. Introduction Evaluation metrics are quantitative measures used to assess the performance of machine learning models. They are important because they provide a systematic and objective way of comparing different models and measuring their success …
ChatGPT on Your Own Terms: Building Your Own Language Model
Author(s): Anay Dongre Originally published on Towards AI. This article showcases how you can build your own version of ChatGPT using PyTorch. We are not going to be able to reproduce the exact replica of chatGPT as it is a production-level system …
Bard: Google releases ChatGPT Competitor That Will Respond Using Current Data
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Bard wants to bring together the knowledge of the world with the power, intelligence, and creativity of their large language models. It uses information from the web to give fresh and …
Improve Performance of the Deep Neural Model (Part-1)
Author(s): Akash Dawari Originally published on Towards AI. Note: Before you start reading this article please click the below link to see the code and different visualization graphs to better understand the article and the concepts. In this article, we will discuss …
Introduction to Autoregressive Models
Author(s): Albert Nguyen Originally published on Towards AI. This article is a preparation for the upcoming article about Autoregressive Diffusion Models. Distribution estimation is a core problem in many Deep Learning applications, including classification, regression, and more. Many estimation methods have been …
Ask Jeeves Has Been Re-Born with AI!
Author(s): Andrew Austin Originally published on Towards AI. I hope you wrote down everything you didn’t get a chance to “Ask Jeeves” Continue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and …
MLOps 4: Data in production
Author(s): Akhil Theerthala Originally published on Towards AI. Hi everyone! This is Akhil Theerthala, back again in the MLOps series. I had to take a break last week due to a fest at my uni. Now, returning to the series, we have …
Data Labeling: Why It’s So Important for Machine Learning Success
Author(s): Hrvoje Smolic Originally published on Towards AI. Are you tired of feeling like a tiny ant in a giant data jungle? You’re not alone. Businesses of all sizes struggle to make sense of the massive amounts of data they collect daily. …
How To Estimate FP, FN, TP, TN, TPR, TNR, FPR, FNR & Accuracy for Multi-Class Data in Python in 5…
Author(s): Serafeim Loukas Originally published on Towards AI. In this post, I explain how someone can read a confusion matrix and how to extract several performance metrics for a multi-class… Continue reading on Towards AI » Join thousands of data leaders on …
What is the Technology Readiness Level (TRL)?
Author(s): Stavros Theocharis Originally published on Towards AI. Technology Readiness Levels (TRL) in AI development A framework for the future development of AI Image generated by DALL-E Artificial Intelligence (AI) is a subject that has been discussed almost everywhere. It continuously gets …
Technology Readiness Levels (TRL) in AI development
Author(s): Stavros Theocharis Originally published on Towards AI. A framework for the future development of AI Image generated by DALL-E Artificial Intelligence (AI) is a subject that has been discussed almost everywhere. It continuously gets so popular that it permeates practically every field, from …
The Normal Equation: The Calculus, the Algebra, and The Code
Author(s): Skander Menzli Originally published on Towards AI. Photo by Antoine Dautry on Unsplash Introduction: The normal equation is a closed-form solution used to solve linear regression problems. It allows us to directly compute the optimal parameters of the line (hyperplane) that …
Understand the Fundamentals of an Artificial Neural Network
Author(s): Janik Tinz Originally published on Towards AI. Learn how an artificial neural network works Photo by Alina Grubnyak on Unsplash An artificial neural network (ANN) is usually implemented with frameworks such as TensorFlow, Keras or PyTorch. Such frameworks are suitable for very complex …
The Normal equation: the calculus, the algebra and the code
Author(s): Menzliskander Originally published on Towards AI. The Normal Equation: The Calculus, the Algebra, and The Code Photo by Antoine Dautry on Unsplash Introduction: The normal equation is a closed-form solution used to solve linear regression problems. It allows us to directly compute the …
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