List: Mathematics | Curated by Anubhav Elhence

Anubhav Elhence

Dec 21, 2024

22 stories

Mathematics

This story is no longer available

TDS Archive

Tarik Dzekman

AI Math: The Bias-Variance Trade-off in Deep Learning

A visual tour from classical statistics to the nuances of deep learning

Nov 29, 2024

269

Title: Bias-variance trade-off. Handwritten notes full of equations and diagrams explain various aspects of decomposing total error into bias and variance terms. This includes the key assumptions necessary for the decomposition. Additional aspects covered include complex decision boundaries and difficulty of training examples.

Nov 29, 2024

269

This story is no longer available

Jonathan Hui

Vector Space, Normed Space & Hilbert Space (Machine Learning)

Euclidean space, the familiar geometry of our everyday world, provides a useful framework for understanding basic geometric concepts like…

May 20, 2024

526

Vector Space, Normed Space & Hilbert Space (Machine Learning)

May 20, 2024

526

Towards AI

Sachinsoni

Understanding Different Kinds of Distributions in Statistics

Statistics is a powerful tool for making sense of data, and at its core lies the concept of distributions. Distributions in statistics help…

Apr 26, 2024

666

Understanding Different Kinds of Distributions in Statistics

Apr 26, 2024

666

This story is no longer available

TDS Archive

Daniel Warfield

YOLO — By Hand

A breakdown of the math within YOLO

Jun 7, 2024

231

Jun 7, 2024

231

TDS Archive

Cristian Leo

The Math Behind Gated Recurrent Units

Dive into advanced deep learning with gated recurrent units (GRUs), understand their mathematics, and implement them from scratch.

Jun 4, 2024

208

Jun 4, 2024

208

TDS Archive

Egor Howell

Backpropagation Through Time — How RNNs Learn

An explanation of the backpropagation through time algorithm

May 17, 2024

165

Backpropagation Through Time — How RNNs Learn

May 17, 2024

165

Level Up Coding

Fareed Khan

Solving Transformer by Hand: A Step-by-Step Math Example

Performing numerous matrix multiplications to solve the encoder and decoder parts of the transformer

Dec 18, 2023

2.9K

Solving Transformer by Hand: A Step-by-Step Math Example

Dec 18, 2023

2.9K

TDS Archive

Theo Wolf

Kolmogorov-Arnold Networks: the latest advance in Neural Networks, simply explained

The new type of network that is making waves in the ML world.

May 12, 2024

2.5K

Kolmogorov-Arnold Networks: the latest advance in Neural Networks, simply explained

May 12, 2024

2.5K

TDS Archive

Shreya Rao

Deep Learning Illustrated, Part 3: Convolutional Neural Networks

An illustrated and intuitive guide on the inner workings of a CNN

May 11, 2024

635

Deep Learning Illustrated, Part 3: Convolutional Neural Networks

May 11, 2024

635

TDS Archive

Cristian Leo

The Math Behind Batch Normalization

Explore Batch Normalization, a cornerstone of neural networks, understand its mathematics and implement it from scratch.

May 8, 2024

458

May 8, 2024

458

Mathematical Musings

Freedom Preetham

The Gaussian Distribution: A Mathematical Perspective

The normal distribution, often referred to as the Gaussian distribution, is pivotal in statistics, owing to its fundamental mathematical…

Apr 24, 2024

303

The Gaussian Distribution: A Mathematical Perspective

Apr 24, 2024

303

TDS Archive

Cristian Leo

The Math Behind Recurrent Neural Networks

Dive into RNNs, the backbone of time series, understand their mathematics, implement them from scratch, and explore their applications

Apr 27, 2024

822

The Math Behind Recurrent Neural Networks

Apr 27, 2024

822

scinopio

Hilbert Space

In this article, we will explore the very important topic of Hilbert Spaces. Hilbert Spaces show up frequently in Physics and Engineering…

Nov 1, 2023

283

Nov 1, 2023

283

scinopio

From Vectors to Tensors

The dynamics of many complex systems frequented in Engineering and Physics can be formulated elegantly in terms of Vectors and Tensors.

Nov 11, 2023

380

Nov 11, 2023

380

EnjoyAlgorithms

Ravish Kumar

Detailed Maths Topics In Machine Learning

Knowledge of maths can help a machine learning beginner become an expert. This blog discussed the essential Maths topics and their use in…

Feb 13, 2024

908

Detailed Maths Topics In Machine Learning

Feb 13, 2024

908

Juan Vera

The Beauty of Fourier

An in depth look into principles & mathematics behind Fourier Analysis

Jan 20, 2024

1.4K

Jan 20, 2024

1.4K

Responses

Mathematics

AI Math: The Bias-Variance Trade-off in Deep Learning

A visual tour from classical statistics to the nuances of deep learning

Vector Space, Normed Space & Hilbert Space (Machine Learning)

Euclidean space, the familiar geometry of our everyday world, provides a useful framework for understanding basic geometric concepts like…

Understanding Different Kinds of Distributions in Statistics

Statistics is a powerful tool for making sense of data, and at its core lies the concept of distributions. Distributions in statistics help…

YOLO — By Hand

A breakdown of the math within YOLO

The Math Behind Gated Recurrent Units

Dive into advanced deep learning with gated recurrent units (GRUs), understand their mathematics, and implement them from scratch.

Backpropagation Through Time — How RNNs Learn

An explanation of the backpropagation through time algorithm

Solving Transformer by Hand: A Step-by-Step Math Example

Performing numerous matrix multiplications to solve the encoder and decoder parts of the transformer

Kolmogorov-Arnold Networks: the latest advance in Neural Networks, simply explained

The new type of network that is making waves in the ML world.

Deep Learning Illustrated, Part 3: Convolutional Neural Networks

An illustrated and intuitive guide on the inner workings of a CNN

The Math Behind Batch Normalization

Explore Batch Normalization, a cornerstone of neural networks, understand its mathematics and implement it from scratch.

The Gaussian Distribution: A Mathematical Perspective

The normal distribution, often referred to as the Gaussian distribution, is pivotal in statistics, owing to its fundamental mathematical…

The Math Behind Recurrent Neural Networks

Dive into RNNs, the backbone of time series, understand their mathematics, implement them from scratch, and explore their applications

Hilbert Space

In this article, we will explore the very important topic of Hilbert Spaces. Hilbert Spaces show up frequently in Physics and Engineering…

From Vectors to Tensors

The dynamics of many complex systems frequented in Engineering and Physics can be formulated elegantly in terms of Vectors and Tensors.

Detailed Maths Topics In Machine Learning

Knowledge of maths can help a machine learning beginner become an expert. This blog discussed the essential Maths topics and their use in…

The Beauty of Fourier

An in depth look into principles & mathematics behind Fourier Analysis

Anubhav Elhence

Large Language Models

Mathematics

Computer Vision