I have written more than 150 articles so far, so feel free to explore the different topics by clicking on the buttons below.
I recently gave an interview to the excellent data science podcast: DataCast.
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SP - Voice Gender Detection web application: How to extract relevant features and build a voice gender detection application using MFCC, GMMs and a provided dataset.
SP - Sound Visualization (3/3): Dive into spectrograms, chromagrams, tempograms, spectral power density and more…
SP - Sound Feature Extraction (2/3): An overview with a Python implementation of the different sound features to extract.
SP - Introduction to Voice Processing in Python (1/3): Summary of the book “Voice Computing with Python” with concepts, code and examples.
SP - Building a Voice Activity Detection web application : Voice detection can be used to start a voice assistant or in emergency cases for example. Here’s how to implement it using simple methods.
CV - Implementing YoloV3 for Object Detection : Learn how to implement YoloV3 and detect objects on your images and videos.
NLP - Easy Question Answering with AllenNLP : Understand the core concepts and create a simple example of Question Answering.
NLP - Data Augmentation in NLP : Details of the implementation of “Easy Data Augmentation” paper.
NLP - Character-level LSTMs to predict gender of first names : 90% accuracy on predictiong the gender of French and US first names.
NLP - Few Shot Text Classification : Implementation of a simple paper that leverages pre-trained models for few shot text classification.
NLP - Improved Few Shot Text Classification : Improving previous results with Data Augmentation and more complex models.
RL - Introduction to Reinforcement Learning : An introduction to the basic building blocks of reinforcement learning.
RL - Markov Decision Process : Overview of Markov Decision Process and Bellman Equation.
RL - Planning by Dynamic Programming : Introduction to Dynamic Programming, including Policy and Value Iteration.
NLP - I trained a Neural Network to speak like me : Having written over 100 articles, I trained a NN to write articles just like me.
DL - How do Neural Networks learn? : Dive into feedforward process and back-propagation.
Written for other blogs
I also write articles for companies (if you think we could work together, feel free to reach out !) :
Who’s the painter? - For explorium.ai : An illustration of how data enrichment and feature engineering can improve a model.
Machine Learning Interpretability and Explainability (1/2) - For explorium.ai : An introduction to interpretable models with code and examples.
Machine Learning Interpretability and Explainability (2/2) - For explorium.ai : An introduction to explainability of black-box ML models.
A guide to Face Detection - For digitalminds.io : An overview of the different techniques face Face Detection in Python (with code).