MACHINE LEARNING – CHAPTER 1 – Introduction

By Mikaela Pisani • May 11, 2020 • 0 Comments

Machine learning is one of the hottest topics nowadays. People talk about machine learning as if it is magic. Organizations are racing to integrate machine learning into their functions. Everyone talks about it, but not too many people know what it really is. It is just math and statistics plus

Data Cleaning

By Mikaela Pisani • May 4, 2020 • 0 Comments

The data never comes perfect. There is always missing information, different formats, or it is full of useless information for your analysis. The process of data cleaning consists of the correction and transformation of the values, standardizing all the formats, fixing encoding, removing unnecessary information, splitting columns and extracting relevant

Initial Coronavirus outbreak in France and South Korea

By Mikaela Pisani and Anthony Figueroa • April 27, 2020 • 0 Comments

We are currently experiencing the negative impacts of the novel Coronavirus. This virus has quickly changed our lives and has left many of us feeling confused and fearful of what’s to come. As engineers and data scientists – we want to help make sense of the overwhelming amount of data

Understanding Basic Statistics for Machine Learning Models – Part 3

By Mikaela Pisani • April 27, 2020 • 0 Comments

In this article you can find explanations for statistical concepts such as Statistical hypothesis test, used for answering questions about sample data and validating assumptions. In addition, it is provided a list of concepts regarding sampling distribution. Finally, we discuss the relationship between variance and bias. Statistical hypothesis testing States

Understanding Basic Statistics for Machine Learning Models – Part 2

By Mikaela Pisani • April 20, 2020 • 0 Comments

In this article you can find the basic information necessary for a data scientist to have a better knowledge of distributions. It is expected that you have knowledge about random variables and probability concepts such as variance, covariance and expected value. You can find that information on Understanding Basic Statistics

UNDERSTANDING BASIC STATISTICS FOR MACHINE LEARNING MODELS – PART 1

By Mikaela Pisani • April 13, 2020 • 0 Comments

If you want to understand machine learning algorithms, it is very important to have basic statistical knowledge to understand what is behind them. Understanding how the algorithm operates gives you the possibility of configuring the model according to what you need, as well explaining with more confidence the results obtained

Skills For Data Scientists

By Mikaela Pisani • April 6, 2020 • 0 Comments

Being a data scientist requires a mix of skills that anyone can develop. You only need patience, time and be willing to undergo a process of trial and error. You need to understand businesses and be able to adapt to different situations according to the business’ needs. Another important skill

What is Data Science

By Mikaela Pisani • March 30, 2020 • 2 Comments

Why should we care about Data Science? Nowadays more and more data is being generated by smartphones, social media, health, banks, stores, online services, governments, sensors, etc. Every piece of information is saved ‘just in case’. Thus, the available data cannot be processed by human’s brains, we need algorithms and