Just a place to write
There are different techniques or models to solve these type of problems. We can divide the type of models using this diagram: Traditional Time Series forecasting techniques Recursive: we can make predictions for tomorrow, the day after… to do the prediction of day #4 we will predict first #1, then #2, then #3 and then … Read more
Let’s start with Wikipedia: In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural network, most commonly applied to analyze visual imagery. The name “convolutional neural network” indicates that the network employs a mathematical operation called convolution. The convolutional networks are a specialized type of neural networks that use convolution … Read more
This post covers different readings and learnings I’m working to gain knowledge on Machine Learning. At this moment, to me, there are 4 pillars of knowledge that I should gain when talking about Machine Learning. These are: Models & math’s knowledge. Software Programing: python (it’s the one I will use). How the machine learning initiatives … Read more
I’m taking notes while I learn about data visualization on Kaggle.
I’m going through the course “Intro to Machine Learning“, and I would like to keep some notes about it. My first machine learning code Model validation In almost all applications, the relevant measure of model quality is predictive accuracy. In other words, will the model’s predictions be close to what actually happens. Mean Absolute Error (MAE) … Read more
Machine Learning projects come with a lot of complexity in terms of organization and this type of projects are not just to be a challenge for the consumption of infrastructure services, but it’s going to be a challenge to the ability of the organization to deliver in a reasonable speed. Let’s start with some basis … Read more
If you are reading this and you are not me, you should navigate to this link: https://ml-ops.org/ There are so many basis and nice charts that explain What is Machine Learning Operations (or ml-ops). I’m doing a summary for me 🙂 Definition of MLOps The term Machine Learning Operations is defined as “the extension of the … Read more
During Q1 one of the topics have been to learn about Artificial Intelligence, and after reading and listen several podcasts, I have decided that I would like to learn about Machine learning using Kaggle environment: python, jupyter notebooks, examples, a large community, competitions…. I have already completed the python course to refresh my knowledge and … Read more
This post is a mix review of Machine Learning type of solutions the market offers, and a quick review of some players I have in my mind. Machine Learning Wardley Map Components: Machine Learning can be used by companies and individuals. The B2B and B2C is important when you look at the perspective that many … Read more
This post is very boring, there are just questions and no answers. I will start with 2 questions: Which problem of my organization is the right one that investing on Machine Learning solution I will capture valuable return? What are the features of a problem that makes it the appropriate one for a ML solution? … Read more