Transfer Learning in Deep Learning
Cristina Mulas Lopez Cristina Mulas Lopez

Transfer Learning in Deep Learning

As humans, we can transfer our knowledge to learn other tasks. For example, if we learn how to ski we can use the acquired skills or knowledge to learn perhaps snowboarding. It is easy for us to transfer our knowledge to similar tasks. Basically what we are doing when we learn a similar task is to improve what we learned in the past.

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Text Classification and Sentiment Analysis on Hotel Reviews
Cristina Mulas Lopez Cristina Mulas Lopez

Text Classification and Sentiment Analysis on Hotel Reviews

This study aimed to build text classification methods on the domain of hotel reviews. With this project, I wanted to understand how hotel guest reviews have an impact in the hotel business. The goal of this project is to implement classifiers that predict the rating of the reviews.

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Reinforcement Learning
Cristina Mulas Lopez Cristina Mulas Lopez

Reinforcement Learning

Reinforcement Learning is defined as a Machine Learning method that is concerned with how software agents should take actions in an environment. Reinforcement Learning is a part of the deep learning method that helps you to maximize some portion of the cumulative reward.

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GCP Commands to Create an Instance
Cristina Mulas Lopez Cristina Mulas Lopez

GCP Commands to Create an Instance

In this blog I would like to present the automatization to create an instance in GCP using gcloud commands. In order to run these commands in your local machine, first you need to download SKD of CGP.

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Why use a VM?
Cristina Mulas Lopez Cristina Mulas Lopez

Why use a VM?

Server consolidation is a top reason to use VMs. Most operating system and application deployments only use a small amount of the physical resources available when deployed to bare metal. By virtualizing your servers, you can place many virtual servers onto each physical server to improve hardware utilization.

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L1 Norm VS L2 Norm
Cristina Mulas Lopez Cristina Mulas Lopez

L1 Norm VS L2 Norm

While practicing machine learning, you may have come upon a choice of the mysterious L1 vs L2. Usually the two decisions are : L1-regularization vs L2-regularization.

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Predicting Student Performance
Cristina Mulas Lopez Cristina Mulas Lopez

Predicting Student Performance

I’m focusing on predicting student performance and looking for a trend if possible. This project is important because education is a key factor for achieving long-term economic progress. I want to understand the effects that have demographic, social and economic status on student performance.

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Divide and Conquer Algorithms
Cristina Mulas Lopez Cristina Mulas Lopez

Divide and Conquer Algorithms

Divide and conquer is a powerful algorithm used to solve many important problems such as merge sort, quick sort, selection sort and performing matrix multiplication.

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Big O Notation Simplified
Cristina Mulas Lopez Cristina Mulas Lopez

Big O Notation Simplified

In this blog post, I am going to talk about Big O Notation. I will explain what is the Big O Notation, how is Big O Notation associated with Algorithms, and provide some examples.

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Why Graph Databases Are The Future
Cristina Mulas Lopez Cristina Mulas Lopez

Why Graph Databases Are The Future

We are living in the era of big data, caused by the increase in the amount of information we are generating and collecting, thanks to the arrival of the internet. We need to store and analyze…

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What is an algorithm?
Cristina Mulas Lopez Cristina Mulas Lopez

What is an algorithm?

The very first time I heard the word algorithm, the first thing that came to my mind was a very complex process that involves mathematical formulas, a process that would be very difficult to understand.

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