Sofia Cavalcante

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Pragmatic machine learning for the real world

A description of machine learning and prediction APIs followed by some real-world considerations on the deployment of predictive models and their integration in apps and businesses. These are illustrated with a churn prediction example.<p>In this presentation you'll find some information about …

Text Analytics: Easy Classification For Routing Service Requests

The first step we ask as data scientists when we approach a new project is what’s the customer’s available data? While some of the time the answer …

The Grammar of Data Science: Python vs R

Python underperforms once more<p>The equivalent Python code does not read like English and is super annoying to write:<p>The output is also far less …

Data Science

Data Mining Algorithms – Hierarchical Clustering

Clustering is the process of grouping the data into classes or clusters so that objects within a cluster have high similarity in comparison to one …

Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data

<b>Preface ix</b><p><b>List of Figures xi</b><p><b>1. Introduction 1</b><p><b>2. Activities 5</b><p>2.1 Definitions 5<p>2.2 Classes of Activities 7<p>2.3 Additional Reading 8<p><b>3. Sensing 11</b><p>3.1 …

Predicting Flights Delay Using Supervised Machine Learning

1 <b>Introductions:</b>In this post, we’ll use a supervised machine learning technique called logistic regression to predict delayed flights. But before we …

Modern Methods for Sentiment Analysis

Sentiment analysis is a common application of Natural Language Processing (NLP) methodologies, particularly classification, whose goal is to extract …