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Gradient-Descent

Gradient-Descent

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3 followers·58 articles

Gradient-Descent

#gradient-descent·3 followers·58 articles

Gradient-Descent

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Nov 05, 2024·

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Jessen

descendingnotebooks.com·Jul 14, 2025

Jul 14, 2025

Adam Optimizer

You’ve probably used Adam as your go to optimizer. But do you know why it works? In this article, we’ll unpack the Adam optimizer introduced in this paper. This post is for anyone who wants to deeply understand what is happening when they use Adam. A...

Adam Optimizer

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Machine Learning

Nitin Sharma

path2ml.com·Jun 25, 2025

Jun 25, 2025

Linear Regression

Machine learning is an evolving domain within the field of artificial intelligence (AI) that focuses on the development of algorithms capable of learning from data. These algorithms empower systems to improve their performance on tasks over time thro...

Linear Regression

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Machine Learning

Machine Learning

Abhiraj Bhatta

templeofthoughts.hashnode.dev·Jun 18, 2025

Jun 18, 2025

Basics of Machine Learning and Linear Regression (Week 02)

Week 2 of my internship was focused on getting familiar with NumPy, pandas, scikit-learn and other libraries which are used in machine learning commonly. I also went into further depth on some of the concepts that I had already implemented and also u...

Basics of Machine Learning and Linear Regression (Week 02)

Discuss·1 read

linearregression

Kartavay

kartavay.hashnode.dev·Jun 09, 2025

Jun 09, 2025

Exponentially Weighted Moving Averages in ML

In this post, I am going to pass on my understanding of moving averages. I just learned it today, so there are possibilities of errors. So, this is the basic formula of moving averages, but it does not look like an average. If you know the formula fo...

Exponentially Weighted Moving Averages in ML

Discuss·10 likes·5 reads

MATHS FOR MACHINE LEARNING

Machine Learning

Trinita Roy

nlp-nerd.hashnode.dev·May 30, 2025

May 30, 2025

Machine Learning Fundamentals

Once a shadowy realm within academic circles and research papers, Machine Learning (ML) has emerged as a driving force behind today's technological marvels. From the helpful voices of our smart assistants to the vigilant eyes of fraud detection syste...

Machine Learning Fundamentals

Discuss·11 reads

Sudhin Karki

techgigsudhin20.hashnode.dev·May 06, 2025

May 06, 2025

From Spikes to Smoothness: Differentiability and Its Role in Real-World Optimization

In the world of artificial intelligence and optimization, differentiability is not just a mathematical nicety — it’s a critical enabler of nearly everything we train, tune, and learn. But why does smoothness matter so much? And what happens when our ...

From Spikes to Smoothness: Differentiability and Its Role in Real-World Optimization

Discuss·4 reads

Machine Learning

ASSIA EL BOUSSANNI

ASSIA EL BOUSSANNI

assia-ml-coding.hashnode.dev·May 01, 2025

May 01, 2025

How I Built Logistic Regression from Scratch

Intro As a data science student my quote is "start hard so things looks easy" , when i first began learning machine learning like most beginners i reached for scikit-learn library that i personally call it easy lazy library , it is good and easy but ...

How I Built Logistic Regression from Scratch

Discuss·12 reads

Machine Learning

Ashok Vanga

mlbook.hashnode.dev·Mar 18, 2025

Mar 18, 2025

Understanding Gradients and Optimization Techniques , Loss Functions in Neural Networks

What is a Gradient? A gradient measures how much a small change in a parameter (like a weight) affects the model's output. In neural networks, gradients guide how to adjust weights to minimize the error (loss). Intuition: Imagine standing on a hill—g...

Discuss·2 reads

Gradient-Descent

Viole

machine-learning-journey.hashnode.dev·Mar 10, 2025

Mar 10, 2025

4. Gradient Descent: Discovering Adam Optimizer

🚀 Implementation of ADAM In earlier posts, we implemented a momentum-based optimizer, which offered several advantages: Momentum helps avoid getting stuck in local minima, much like in physics 🏃‍♂️. It smooths updates by acting as a moving averag...

4. Gradient Descent: Discovering Adam Optimizer

Discuss·12 reads

Viole

machine-learning-journey.hashnode.dev·Feb 27, 2025

Feb 27, 2025

3. Gradient Descent: Exploring Momentum

Implementing Momentum-based Optimizer 🚀 Context Last time, we implemented a simple learning rate scheduler and identified a major flaw: over time, it becomes unreliable for optimizing the training process. So, we decided to upgrade it. I had always ...

3. Gradient Descent: Exploring Momentum

Discuss·7 reads