Medium

Salma Ghoneim

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JavaScript in Plain English

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Salma Ghoneim

·

May 6, 2020

React token-based authentication module with Axios Interceptors

An all-in-one tutorial on how to create the authentication part of your React app.

React token-based authentication module with Axios Interceptors

In

Heartbeat

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Salma Ghoneim

·

Feb 12, 2020

Engineering Feature Engineering

Defining feature engineering and applying it to your dataset

Engineering Feature Engineering

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Heartbeat

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Salma Ghoneim

·

Dec 2, 2019

Using least squares-based classification to detect digits

Classifying digits using the discriminant least square-based function in less than 100 lines of code.

Using least squares-based classification to detect digits

In

TDS Archive

by

Salma Ghoneim

·

Nov 12, 2019

Linear Algebra and Probability Theory Review for ML

Matrices and Vectors

Linear Algebra and Probability Theory Review for ML

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Heartbeat

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Salma Ghoneim

·

Nov 1, 2019

Defining AI: The evolution, structure, and problem-solving methods of intelligent agents

Exploring the history and inner mechanisms of (artificially) intelligent agents

Defining AI: The evolution, structure, and problem-solving methods of intelligent agents

In

Heartbeat

by

Salma Ghoneim

·

Jul 17, 2019

5 TensorFlow techniques to eliminate overfitting in DNNs

Early stopping, L1 and L2 regularization, dropout, max-norm regularization and data augmentation with TensorFlow

5 TensorFlow techniques to eliminate overfitting in DNNs

In

Heartbeat

by

Salma Ghoneim

·

Jun 18, 2019

What is Machine Learning?

Definitions and examples to get you started on your ML journey

What is Machine Learning?

In

Heartbeat

by

Salma Ghoneim

·

Apr 19, 2019

OpenCV-Python Cheat Sheet: From Importing Images to Face Detection

Cropping, Resizing, Rotating, Thresholding, Blurring, Drawing & Writing on an image, Face Detection & Contouring to detect objects. All…

OpenCV-Python Cheat Sheet: From Importing Images to Face Detection

In

TDS Archive

by

Salma Ghoneim

·

Apr 16, 2019

5 Types of bias & how to eliminate them in your machine learning project

Sample, Exclusion, Observer, Prejudice, Measurement bias. An introduction and an example to each!

5 Types of bias & how to eliminate them in your machine learning project

In

TDS Archive

by

Salma Ghoneim

·

Apr 7, 2019

5 Steps to correctly prepare your data for your machine learning model.

How to prepare your dataset in order to get the most out of it?

5 Steps to correctly prepare your data for your machine learning model.

Salma Ghoneim

Salma Ghoneim

SDE at Microsoft, Passionate about frontend development, fascinated by artificial intelligence, Interested in game development.

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