This article briefly discusses five reasons to adopt FastAPI as the framework for our REST API and why it offers an outstanding balance between performance and productivity.
Author: Rodolfo Mendes
I help machine learning engineers to deploy, monitor, and scale their machine learning models, so they don't have to work overtime.
Basic Setup For a Machine Learning Project With Python
In this tutorial, we present the process for configuring a basic Machine Learning project using the Python programming language.
What are Machine Learning Tasks? (part 2)
Machine Learning is a set of computational techniques that allows us to extract patterns from data. In other words, these algorithms can learn the information contained in datasets like tabular data, text, images, or even videos. However, there is no universal algorithm capable of learning every pattern from every kind of data. Each machine learning algorithm solves a specific type of learning problem. We call machine learning tasks the particular learning problems solved by machine learning algorithms.
What are Machine Learning Tasks? (part 1)
Machine Learning is a set of computational techniques that allows us to extract patterns from data. In other words, these algorithms can learn the information contained in datasets like tabular data, text, images, or even videos. However, there is no universal algorithm capable of learning every pattern from every kind of data. Each machine learning algorithm solves a specific type of learning problem. We call machine learning tasks the particular learning problems solved by machine learning algorithms.
Find Datasets for your Machine Learning Projects
In this post, we list useful datasets from universities, governments and companies from which you can download datasets for you machine learning project.
How to scale attributes with normalization and standartization
Attributes in different scales are common in Machine Learning projects. For example, a medical record dataset can include in the columns weight, height, and blood pressure. These attributes have different units of measure and vary in different intervals, making their comparison difficult. In these cases, we can apply a process called scaling to make this comparison easier. … Continue reading How to scale attributes with normalization and standartization
Big and Complex Projects Will Demotivate You, Build Simple and Small Projects
In this post, we discuss how big and complex projects are demotivating, and how we can overcome the demotivation building smaller and simpler projects.
Small Machine Learning Projects
This page contains a list of links to small machine learning projects, which you can use as examples or to bootstrap a more significant projects.
Introduction to Linear Regression With One Variable
In this post, we present Linear Regression analysis using a one variable example. Although real Linear Regression models use multiple input variables, the idea here is to keep the examples as simple and straightforward as possible, so you can focus on the intuition behind Linear Regression and don't get confused with too much data preparation or other details about tools and data manipulation. There are many algorithms to perform regression analysis, but Linear Regression is the simplest of them and the recommended algorithm to start with.
5 Reasons Why Google Colaboratory is the Right Tool for Beginner Data Scientists
Google Colab is the right tool to get started with data science. You don't need to install software, you have proper documentation, and you can share your work easily. Int this article, we list five reasons that make Google Colab the right tool for beginner data scientists.
