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Machine Learning & Statistics

Machine Learning & Statistics

Understanding the Universal Approximation Theorem

Introduction

Dec 25, 2023

Understanding the Universal Approximation Theorem

Dec 25, 2023

Machine Learning & Statistics

Stochastic Gradient Descent: Unveiling the Core of Neural Network Training

Introduction

Nov 29, 2023

Stochastic Gradient Descent: Unveiling the Core of Neural Network Training

Nov 29, 2023

Machine Learning & Statistics

Reducing Noise and Improving Interpretability in CNNs: A Technical Review of the SmoothGrad Method…

In a previous blog post (Understanding the predictions of convolutional neural networks: saliency maps), we discussed the importance of…

Feb 14, 2023

Reducing Noise and Improving Interpretability in CNNs: A Technical Review of the SmoothGrad Method…

Feb 14, 2023

Machine Learning & Statistics

Understanding the predictions of convolutional neural networks: saliency maps

As data scientists, we often work with deep learning models to solve a wide range of problems. One of the challenges of working with deep…

Feb 14, 2023

Understanding the predictions of convolutional neural networks: saliency maps

Feb 14, 2023

Machine Learning & Statistics

LIME: Local Interpretable Model-Agnostic Explanations (Part 4)

In the previous parts of this series, we introduced LIME (Local Interpretable Model-Agnostic Explanations) and discussed the methodology…

Feb 12, 2023

LIME: Local Interpretable Model-Agnostic Explanations (Part 4)

Feb 12, 2023

Machine Learning & Statistics

LIME: Local Interpretable Model-Agnostic Explanations — part 3

We introduced LIME (Local Interpretable Model-Agnostic Explanations) and discussed the LIME methodology in Parts 1 and 2 of this series…

Feb 10, 2023

LIME: Local Interpretable Model-Agnostic Explanations — part 3

Feb 10, 2023

Machine Learning & Statistics

LIME: Local Interpretable Model-Agnostic Explanations (Part 2)

In Part 1 of this series, we introduced LIME (Local Interpretable Model-Agnostic Explanations) and discussed its importance in the field of…

Feb 9, 2023

LIME: Local Interpretable Model-Agnostic Explanations (Part 2)

Feb 9, 2023

Machine Learning & Statistics

LIME: Local Interpretable Model-Agnostic Explanations — part 1

As a data scientist, it is crucial to understand the workings of machine learning models, not only to build better models, but also to…

Feb 8, 2023

LIME: Local Interpretable Model-Agnostic Explanations — part 1

Feb 8, 2023

Machine Learning & Statistics

Machine Learning & Statistics

A data scientist with 3 years of experience, driven by a passion for mathematics and solving complex problems.

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