À l'informatique
Von Neumann a donné son nom à l'architecture de von Neumann utilisée dans la quasi-totalité des ordinateurs modernes, l'apport d'autres collaborateurs de l'EDVAC en est par conséquent grandement minimisé (on citera J. Presper Eckert et John William Mauchly parmi d'autres). Cela est dû au fait qu'il est, en 1945, le rapporteur des travaux pionniers Read More →

An algorithm is little more than a series of steps required to perform some task. If we treat each step as a basic unit of computation, then an algorithm’s execution time can be expressed as the number of steps required to solve the problem.
This abstraction is exactly what we need: it characterizes an algorithm’s efficiency Read More →

https://brohrer.github.io/blog.html

I. End-to-end Machine Learning courses
II. How machine learning works
III. Using machine learning
IV. Using data
V. Statistics

VI. Professional Advice
VII. Artificial intelligence editorial
VIII. Becca, a robot brain project

Frequently asked questions
Contributing translations and adaptations

 

End-to-end Machine Learning courses
Hands-on, project-driven courses for machine learning students and data scientists, offered through Udemy.

Decision Trees: Build your own transit time predictor
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Reinforcement Learning
Reinforcement Learning is a type of Machine Learning. It allows machines and software agents to automatically determine the ideal behavior within a specific context, in order to maximize its performance. Simple reward feedback is required for the agent to learn its behavior; this is known as the reinforcement signal.
There are many different algorithms that Read More →