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Andrea Manero-Bastin's Blog (108)

Cross-validation and hyperparameter tuning

Introduction

Almost every machine learning algorithm comes with a large number of settings that we, the machine learning researchers and practitioners, need to specify. These tuning knobs, the so-called hyperparameters, help us control the behavior of machine learning algorithms when optimizing for performance, finding the right balance between bias and variance. Hyperparameter tuning for performance optimization is an art in itself,…

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Added by Andrea Manero-Bastin on October 14, 2020 at 5:00am — No Comments

Applications of Machine Learning in FinTech

Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed. The science behind machine learning is interesting and application-oriented. Many startups have disrupted the FinTech ecosystem with machine learning as their key technology.

There are various applications of machine learning used by the FinTech companies falling under different subcategories. Let us look at some of the…

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Added by Andrea Manero-Bastin on October 14, 2020 at 5:00am — No Comments

A simple guide to AI, Machine Learning and Deep Learning

This article was written on Graymatter. 

Let start at the beginning; back in the 50’s we dreamt about robots making our tea (AI) and what we could do with our spare time, fuelled by the space race and science fiction it was a heady dream. Until that is the 80’s, where we started to ‘teach’ machines simple tasks (Machine Learning), the more times a machine completed a task the more it learnt and improved. We’ve now reached Deep Learning, where through the improvement of…

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Added by Andrea Manero-Bastin on October 7, 2020 at 4:00am — No Comments

Explainable Artificial Intelligence (XAI)

This article was written by Dr. Matt Turek.  

Dramatic success in machine learning has led to a torrent of Artificial Intelligence (AI) applications. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems is limited by the…

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Added by Andrea Manero-Bastin on October 7, 2020 at 3:30am — No Comments

Using AI to Super Compress Images

This article was written by Harshvardhan Gupta. 

Data driven algorithms like neural networks have taken the world by storm. Their recent surge is due to several factors, including cheap and powerful hardware, and vast amounts of data. Neural Networks are currently the state of the art when it comes to ‘cognitive’ tasks like image recognition, natural language understanding , etc. ,but they don’t have to be limited to such tasks. In this post I will discuss a way to…

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Added by Andrea Manero-Bastin on September 30, 2020 at 11:00am — No Comments

The Neural Network Zoo

This article was written by Fjodor Van Veen. 

With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first.

So I decided to compose a cheat sheet containing many of those architectures. Most of these are neural networks, some are completely different beasts. Though all of these…

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Added by Andrea Manero-Bastin on September 30, 2020 at 11:00am — No Comments

The rise of GPU databases

This article was written by Gidon Ben-Zvi.

a GPU database is a database, relational or non-relational, that uses a GPU (graphical processing unit) to perform some database operations. For example, GPU databases are typically fast, and geared towards analytics.

Table of…

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Added by Andrea Manero-Bastin on September 23, 2020 at 4:00am — No Comments

Deep Learning Explained in 4 Simple Facts

Yesterday, I talked about Machine Learning, and the huge impact it will have in the world in the future. Today, I’d like to talk about a similar paradigm, that often gets mixed up with it, but that is not the same thing at all. I’m talking about Deep learning.

First off, let me say: this topic is vast. In my article, I’ll try to boil down the main facts, but be warned, you should investigate the matter on your own to learn more.

Hope I can set…

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Added by Andrea Manero-Bastin on September 15, 2020 at 1:00am — No Comments

Explaining Deep Learning Results: Artificial Intelligence Outputs

This article was written by Alberto Roldan.

I was reading two articles this week on MIT Technology Review about the difficulties of explaining the decision-making of advanced algorithms that uses AI. This…

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Added by Andrea Manero-Bastin on August 28, 2020 at 12:00am — No Comments

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

This article was written by Stefan Kojouharov.

Over the past few months, I have been collecting AI cheat sheets. From time to time I share them with friends and colleagues and recently I have been getting asked a lot, so I decided to organize and share the entire collection. To make things more interesting and give…

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Added by Andrea Manero-Bastin on August 27, 2020 at 11:30pm — No Comments

Difference Between Deep Learning and Machine Learning in one Infographic

Deep Learning is more powerful and flexible than Traditional Machine Learning. In fact Deep learning is also a Machine Learning type but have difference in many other ways. Traditional Machine learning has its own advantages. You have to choose and decide the best for your application.…

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Added by Andrea Manero-Bastin on August 25, 2020 at 5:30am — No Comments

A Programming Guide with Probability and Statistics

Probability and Statistics- the terms which resonate together to create the vast applications of the fields of Data Science and Machine Learning, have immensely grown a huge followers’ base in this era. But programming the concept sometimes gets tricky and requires a lot of contemplation on the code. Allen B. Downey, in his ‘Think’ series has written a book to solve just the problem for everyone.…

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Added by Andrea Manero-Bastin on August 25, 2020 at 5:30am — No Comments

Machine Learning vs. Statistics

This article was written by Tom Fawcett and Drew Hardin.

Throughout its history, Machine Learning (ML) has coexisted with Statistics uneasily, like an ex-boyfriend accidentally seated with the groom’s family at a wedding reception: both uncertain where to lead the conversation,…

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Added by Andrea Manero-Bastin on August 18, 2020 at 11:00am — No Comments

Top 6 Essential Skills for Data Scientists

This article was written by Ronald Van Loon.

Ronald lists the 6 following skills:

  • Programming - Python, Perl, R, C/C++, SQL, and Java 
  • Knowledge of SaS and Other Analytical Tools - Hadoop, Spark,…
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Added by Andrea Manero-Bastin on August 1, 2020 at 4:00am — 1 Comment

Milestones of Deep Learning

This article was written by Thimira Amaratunga.

Deep Learning has been around for about a decade now. Since its inception, Deep Learning has taken the world by storm due to its success (See my article “What is Deep Learning?” on how Deep Learning evolved through Artificial Intelligence, and Machine…

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Added by Andrea Manero-Bastin on July 26, 2020 at 8:00am — No Comments

The Convoluted World of Supervised vs Unsupervised Learning

Table of contents:

  • What is Deep Learning?

  • Supervised DL: The KISS Pathway That Leads To The Expected

  • Unsupervised Deep Learning: An Exploratory Journey To Figuring Out the Unknown

  • Decision Time: If You Knew Then What You Know…
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Added by Andrea Manero-Bastin on July 26, 2020 at 7:30am — No Comments

Becoming a 10x Data Scientist

This article was written by Stephanie Kim.

Recently I gave a talk at PyData Seattle about how to ramp up your data science skills by borrowing tips and tricks from the developer community. These suggestions will help you become a more proficient data scientist who is loved by your team members and stakeholders.

This post is broken up into…

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Added by Andrea Manero-Bastin on July 21, 2020 at 9:00am — No Comments

The Data Science Imposter syndrome

This article was written by Marcus Oliveira da Silva.

I am not a real data scientist.

I have never used a deep learning framework, like TensorFlow or Keras.

I have never touched a…

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Added by Andrea Manero-Bastin on July 10, 2020 at 5:30am — No Comments

My First Neural Network

This article was written by Bharat Girdhar.

I was always intrigued by the concept of computers taking a decision on behalf of humans. Though the concept of machine learning has been there for decades but…

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Added by Andrea Manero-Bastin on July 10, 2020 at 5:00am — No Comments

Adding Uncertainty to Deep Learning

This article was written by Motoki Wu. Full title: How to construct prediction intervals for deep learning models using Edward and TensorFlow.…

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Added by Andrea Manero-Bastin on June 30, 2020 at 4:30am — No Comments

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