Category Archives: Big Data & Machine Learning

Time-series N°2: How to collect and process them?

Before starting I’d just like to say that this post is not a cookbook of the algorithms that will allows to handle time series data. I will cite some but they are too many and list them is not the prupose, this article is more a REX (Return on Experience) on what I faced andContinue reading “Time-series N°2: How to collect and process them?”

Time-series N°1

This this the first of a series of 4 articles I am writing about time-series. You wonder why this topic ? I come from neurosciences and in this domain, signal processing of EEG data is a really interesting though difficult topic. Then, turning into being a developer and now an AI engineer, I deal withContinue reading “Time-series N°1”

Being original with DeepLearning

Ever felt stucked on a problem? Not a daily life problem but one about data. Maybe you’re a data scientist and your daily life problems are about data. Often, when you struggle with this kind of problem, the issue raise in expressing it to people and the solution pops out like magic. Unfortunately, sometimes, theContinue reading “Being original with DeepLearning”

Install Tensorflow2

Just a quick installation procedure for tensorflow2 (tf2). If you’re like me and still on Ubuntu 16.04 with a python 3.5 version, you might have experience that a simple pip install does not work properly? pip install tensorflow==2.0.0-alpha0 End up by a: 2.0.0-alpha0 not found Before you start yieling at Google and crying at yourContinue reading “Install Tensorflow2”

What a neural network really is?

This article aims at giving an overview of what a neural network is in the context of computing. Indeed, as a computer obviously contains no neurons, the goal is to demystify this concept. A lot of artificial intelligence (AI) and Machine Learning (ML) concepts are largely inspired by biology there will first have a quick introduction to what is a neuron and how does it works. Then we will define what perceptron neurons and sigmoid neurons are.

An overview of Machine Learning frameworks

Artificial intelligence (AI) is the ability for machines to reproduce human or animal capacities such as problem-solving. One of AI’s subdomain is Machine Learning (ML), whose goal is to make computers learning business rules without the need of the business knowledge but only by giving the computer the data. As part of ML methods, DeepContinue reading “An overview of Machine Learning frameworks”