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Ane Berasategi

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Published in Towards Data Science

·Pinned

How to Build a Computer Vision Project Easily and without Code

A beginner friendly, no-code solution to your own fruit detector. Also, upload the model to the Internet for everyone to see! — Do you want to build an app to detect something? Cats vs. dogs, detect how ripe a fruit is, find brands in images? Do you want to just label a few images, make a model and test it without much work? If you answered yes, then this article is for…

Computer Vision

7 min read

How to Build a Computer Vision Project Easily and without Code
How to Build a Computer Vision Project Easily and without Code

Published in AWS in Plain English

·Mar 17

How I Learnt Practical Skills in AWS with the Cloud Resume Challenge

Lessons learnt when doing a challenge I thought I didn’t need (but I needed it very much) — I started my journey in the cloud in November 2020, at the time I had experience with Python, git, Docker, Lambda and S3 from AWS, nothing about Azure and nothing about GCP. The first thing I did was take the ⭐️ AWS Cloud Practitioner Certification, which covers the basics of…

AWS

5 min read

How I learnt practical skills in AWS with the Cloud Resume Challenge
How I learnt practical skills in AWS with the Cloud Resume Challenge

Published in Towards Data Science

·Jan 28

Overview of Azure Resources for AI Applications

Find out about the main Azure services to build language, vision and search AI apps — It can be a daunting task to navigate cloud providers finding how to build your AI app in the cloud. This post goes over the main Azure AI resources for different AI applications. Vision 1. Computer vision Computer Vision is the main Azure resource for image applications. In its most basic form, it supports…

Azure

4 min read

Overview of Azure Resources for AI Applications
Overview of Azure Resources for AI Applications

Oct 22, 2021

How to develop a side project

You have an idea for a project? Learn the steps to turn it from an idea to a finished project. — This post is the first in a series of articles where I explain how I had an idea for a side project, I thought: it can’t be that hard to build. …

Side Project

11 min read

How to develop a side project
How to develop a side project

Published in Towards Data Science

·Jul 27, 2021

How to do data science in Azure

Azure services to bring your machine learning project to the cloud — It is becoming increasingly difficult to do data science in your own computer nowadays. Sure, normal computers have no problem to handle data exploration, analysis and visualization. But when it comes to model training, unless you own a GPU or you are using a classical machine learning model and not…

Azure

5 min read

How to do data science in Azure
How to do data science in Azure

Published in Beck et al.

·May 28, 2021

Introducing AI-SPRINT: bringing artificial intelligence applications to real life

In this blog post we introduce a new and very exciting European project that Beck et al. is participating: AI-SPRINT, short for Artificial Intelligence in Secure PRIvacy-preserving computing coNTinuum. Beck et al. …

Cloud

5 min read

Introducing AI-SPRINT: bringing artificial intelligence applications to real life
Introducing AI-SPRINT: bringing artificial intelligence applications to real life

Published in Towards Data Science

·Jan 31, 2021

How to learn deep learning by reading papers

Create a system in order to be up to date with deep learning research — Deep learning is moving so fast, that the only way to keep up is by reading directly from the people who publish these new findings. If you’re a technical person and want to learn about deep learning in 2021, you need to read papers. Formal education will only get you…

Research

11 min read

How to learn deep learning by reading papers
How to learn deep learning by reading papers

Published in Towards Data Science

·Dec 22, 2020

Analysis of ELMo and BERT embedding similarity for similar sentences

Given similar sentences, how similar are their contextual embeddings? Let’s find out — Embeddings are a key part of modern NLP, they encode the meaning of words or other linguistic units into vectors of numbers. The embedding of a specific word might seem random, but the idea is that similar words have similar embeddings, and opposite words have opposite embeddings. For example, imagine…

Machine Learning

5 min read

Analysis of contextual embedding similarity for similar sentences
Analysis of contextual embedding similarity for similar sentences

Oct 23, 2020

Tips to write academic essays at university

Create systematically good writing assignments no matter the topic Why am I writing this? I have had to write many long essays and writing assignments during my 6 years at university. When I started at 18, I had little idea how to do this properly. I started building the house from the roof, added windows…

Writing

6 min read

Tips to write academic essays at university
Tips to write academic essays at university

Published in Towards Data Science

·Aug 12, 2020

Overview of tokenization algorithms in NLP

Introduction to tokenization methods, including subword, BPE, WordPiece and SentencePiece — This article is an overview of tokenization algorithms, ranging from word level, character level and subword level tokenization, with emphasis on BPE, Unigram LM, WordPiece and SentencePiece. It is meant to be readable by both experts and beginners alike. …

NLP

8 min read

Overview of tokenization algorithms in NLP
Overview of tokenization algorithms in NLP
Ane Berasategi

Ane Berasategi

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