algorithms Archives - Giuseppe Bonaccorso

Mastering Machine Learning Algorithms

Today I’ve published my latest book “Mastering Machine Learning Algorithms” (in a few days it will be available on all channels). From the back cover: Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides…

Fundamentals of Machine Learning with Scikit-Learn

03/22/2018 Artificial Intelligence Machine Learning Python Scikit-Learn No Comments

A tutorial video (2 hours) derived from the book Machine Learning Algorithms has been released: Fundamental of Machine Learning with Scikit-Learn: From the notes: As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for…

Getting Started with NLP and Deep Learning with Python

02/26/2018 Artificial Intelligence Deep Learning Keras Machine Learning Neural networks NLP Python Scikit-Learn Tensorflow No Comments

A tutorial video (2 hours) derived from the book Machine Learning Algorithms has been released: Getting Started with NLP and Deep Learning with Python. From the notes: As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key…

ML Algorithms addendum: Passive Aggressive Algorithms

10/06/2017 Artificial Intelligence Generic Machine Learning Machine Learning Algorithms Addenda Python Scikit-Learn 4 Comments

Passive Aggressive Algorithms are a family of online learning algorithms (for both classification and regression) proposed by Crammer at al. The idea is very simple and their performance has been proofed to be superior to many other alternative methods like Online Perceptron and MIRA (see the original paper in the…

A Brief (and Comprehensive) Guide to Stochastic Gradient Descent Algorithms

10/03/2017 Artificial Intelligence Deep Learning Generic Machine Learning Machine Learning Algorithms Addenda Neural networks No Comments

Stochastic Gradient Descent (SGD) is a very powerful technique, currently employed to optimize all deep learning models. However, the vanilla algorithm has many limitations, in particular when the system is ill-conditioned and could never find the global minimum. In this post, we’re going to analyze how it works and the…

An annotated path to start with Machine Learning

09/09/2017 Artificial Intelligence Deep Learning Generic Keras Machine Learning Neural networks Python Scikit-Learn Tensorflow Theano 2 Comments

“Do not worry about your difficulties in Mathematics. I can assure you mine are still greater.” (A. Einstein) Machine Learning is becoming more and more widespread and, day after day, new computer scientists and engineers begin their long jump into this wonderful world. Unfortunately, the number of theories, algorithms, applications,…