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A lot of people couldn’t finish in one session, so we’ll have another one about microcontrollers.(Note: It’s not required to have attended Epoch 15,…
Machine learning models are getting popular in small microcontrollers. With suitable sensors, microcontrollers are a good choice for small models that need to be fast, running on…
This week’s topic is text classification using text mining techniques or what is known as natural language processing. We will explain some text mining…
This week’s topic is Reinforcement Learning (RL) using OpenAI’s gym package. You will receive a few different basic RL algorithms that you can experiment…
We will revisit the previous challenges once again. Trying to solve the challenges we didn’t do or improve our answers from the ones we…
This week we won’t have a new challenge. We’ll focus on getting up to speed and learning more by working on the tutorials and…
In this challenge we discover a convolutional autoencoder and build an encoder and decoder on the MNIST dataset. There are two options in this…
Today, neural networks are rarely trained from scratch. Instead, they use previously trained models as a starting point. This makes it possible to develop…
This week you will be introduced to Kaggle by making an example submission to a competition. Then, you will try to climb the learderboard…
Monte Carlo (MC) methods are indispensable for any data scientist’s toolbox. They have wide-ranging applications from finance to physics, from law to AI. DeepMind’s…
This week we will build an ML model for signature verification i.e. tell if a signature is genuine or forged. The challenge is based…
After two applied challenges, we step back a little for a fundamental challenge. Implement one of the most popular machine learning algorithms: Random forest….
Machine learning is getting increasingly popular among devices on the edge, namely in IoT. In this challenge we are going to build a machine…
RNG’s are used in a wide range of fields one of which is cryptography. In this challenge, you will be asked to build a…
This week we will continue with a similar challenge to last week: MNIST. This challenge is considered the “Hello, World!” of neural networks. You…
This week we will continue with an applied challenge. Imagine you can obtain high resolution images using a cheap microscope! This is possible thanks…
This week we will implement linear regression. Understanding linear regression is the first step towards understanding many of the fundamental AI concepts. Particularly we…