Single Input Neuron — What is it?
Author(s): Sujeeth Kumaravel Originally published on Towards AI. A neuron is a system that takes an input, performs a computation on that input, and gives an output. The following is the block diagram of a neuron that takes a single numerical scalar …
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 …
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 …
Why Probability and Likelihood are not the Same Thing
Author(s): Towards AI Editorial Team Originally published on Towards AI. Understanding the crucial differences between Probability and Likelihood with examples Image from Pixabay Author(s): Pratik Shukla “The best way out is through”. — Robert Frost Table of Contents: Introduction Introduction to probability …
How To Master The Data Scientist Job Interview Process
Author(s): Serafeim Loukas, PhD Originally published on Towards AI. – Point 3: Behavioral Questions This member-only story is on us. Upgrade to access all of Medium. Here is my personal view based on my recent experience after getting interviewed by 4 companies …
Understanding Machine Learning Performance Metrics
Author(s): Pranay Rishith Originally published on Towards AI. Evaluating the Effectiveness of Your Models Photo by Mikail McVerry on Unsplash I’m sure you’re familiar with machine learning, so let’s not discuss it further. There are several types of machine learning, such as …
Learning Rate Schedulers
Author(s): Toluwani Aremu Originally published on Towards AI. Photo by Lucian Alexe on Unsplash In my previous Medium article, I talked about the crucial role that the learning rate plays in training Machine Learning and Deep Learning models. In the article, I …
How to Maximize ML Project Success with Efficient Scoping? | MLOps 5
Author(s): Akhil Theerthala Originally published on Towards AI. How to Maximize ML Project Success with Efficient Scoping? U+007C MLOps 5 In our past articles of this series, we have seen many things. We started our journey by looking at the lifecycle of …
How to Maximize ML Project Success with Efficient Scoping? | MLOps 5
Author(s): Akhil Theerthala Originally published on Towards AI. How to Maximize ML Project Success with Efficient Scoping? U+007C MLOps 5 In our past articles of this series, we have seen many things. We started our journey by looking at the lifecycle of …
Logistic Regression Simply Explained in 5 minutes
Author(s): Serafeim Loukas, PhD Originally published on Towards AI. A simple and gentle introduction to Logistic Regression with Python code & a working example This member-only story is on us. Upgrade to access all of Medium. Figure made by the author using …
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 …
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 …
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 …
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