Alexandre Pinto

Best books read in 2021

2022-04-16T23:00:00.000Z

Reading during 2021

Another year has passed and as usual, I recollect the best books I have read during

Best books read in 2020

2021-01-14T00:00:00.000Z

On reading and books

Books have immense value for what they actually cost. As Carl Sagan once said, "B

Speeding up python programs with Numba and Numpy

2018-10-19T18:01:56.000Z

When Python is not enough

The Python programming language is a great tool for almost any kind of

Setting up tensorflow to run on a nvidia gpu

2018-01-27T17:26:57.000Z

Nowadays, there are have massive amounts of structured and unstructured data and good hardware resources, which makes it ideal for resour

Building a fast inference service with falcon and bjoern

2018-01-06T16:25:16.000Z

A good portion of time in building supervised machine learning models is spent into training, that is, finding the best set of parameters

Building a machine-learning pipeline with scikit-learn and Qt - Part VI

2017-09-10T09:30:41.000Z

In the learning phase a set of examples are shown to the classifier, with class labels (supervised learning) or without them (unsupervise

Building a machine-learning pipeline with scikit-learn and Qt - Part V

2017-09-09T17:15:41.000Z

In part IV some data preprocessing techniques were shown. After we have clean data, it is import

Building a machine-learning pipeline with scikit-learn and Qt - Part IV

2017-09-09T09:15:41.000Z

Part III explored data visualization and distribution methods. This article shows a list of comm

Building a machine-learning pipeline with scikit-learn and Qt - Part III

2017-09-03T09:15:41.000Z

The assessment and visualization of the distribution of the features is an useful task to better get a sense of the discriminative capabi

Building a machine-learning pipeline with scikit-learn and Qt - Part II

2017-09-02T14:40:32.000Z

In order to run experiments, we need a data. This da

Building a machine-learning pipeline with scikit-learn and Qt - Part I

2017-09-02T09:33:32.000Z

In machine learning problems, we usually describe the objects that we wish to recognize by a set of variables called features, consisting

Performance of Different NLP Toolkits in Formal and Social Text

2017-08-27T14:11:36.000Z

Motivation for this work

The Web is a large source of data, mostly expressed in natural language t

Performance tips for Django applications

2017-08-18T21:06:19.000Z

Performance is an typical concern when developing applications. In order to have a good back-end performance it is important to be aware

Populating a PostgreSQL database

2017-08-17T21:30:56.000Z

It is often the case that we need to populate a table with initial data. A typical approach is to run an sql script to perform a bulk ins

Reclaiming disk space from docker

2017-08-15T13:37:54.000Z

Docker is a great tool to create isolated micro services and environments. However, over time the number of intermediate image layers, si

Reattaching shell sessions

2017-08-15T11:44:36.000Z

Ever started a shell session running a process, quickly realizing that will take longer than you expected to finish? For instance, a remo

Free up memory by cleaning caches

2017-08-11T23:39:00.000Z

Running out of memory can be an issue when you are running a lot services on your development box, such as web services, databases, edito

Microservices, Docker and Django - Part II

2017-08-06T14:02:07.000Z

A typical web application has a set of components that work together such as the application backend, the frontend, the database or other

Microservices, Docker and Django - Part I

2017-07-31T22:16:17.000Z

Monolithic vs Microservices

Over the past years, there has been a paradigm shift in the archite

Mouting CIFS shares on a Linux/UNIX box

2017-07-23T15:11:15.000Z

Occasionally, there is the need to access files from a remote host which uses a diferent operating system or is located in a different ne