Subscribe to DSC Newsletter

Andrea Manero-Bastin's Blog (121)

Clustering with Scikit with GIFs

This article was written by David Sheehan.

This post describes (with GIFs and words) the most common clustering algorithms available through Scikit-learn.

It’s a common task for a data scientist: you need to generate segments (or clusters- I’ll use the terms interchangably) of the customer base. Where does one start? With definitions, of…

Continue

Added by Andrea Manero-Bastin on January 15, 2021 at 12:05pm — No Comments

FairML: Auditing Black-Box Predictive Models

This article was written on the blog CLOUDERA Fast Forward.

Machine learning models are used for important decisions like determining who has access to bail. The aim is to increase efficiency and spot patterns in data that humans would otherwise miss. But how do we know if a machine learning model is fair? And what does fairness in machine learning…

Continue

Added by Andrea Manero-Bastin on January 15, 2021 at 11:53am — No Comments

Google is Rethinking its Business – What About You?

This article was written by Damian Mingle.

Google recently started promoting automated machine learning (what they call AutoML) – something that DataRobot customers have been doing for years. So what is driving Google to now embrace this transformative approach? Guest blogger Damian Mingle explains. …

Continue

Added by Andrea Manero-Bastin on January 15, 2021 at 11:35am — No Comments

Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy

This article was written by Sanjib Sharma.

Markov Chain Monte Carlo based Bayesian data analysis has now become the method of choice for analyzing and interpreting data in almost all disciplines of science. In astronomy, over the last decade, we have also seen a steady increase in the number of papers that employ Monte Carlo…

Continue

Added by Andrea Manero-Bastin on January 6, 2021 at 11:50am — No Comments

Object detection with neural networks — a simple tutorial using keras

This article was written by Johannes Rieke.

Abstract

A very lightweight tutorial to object detection in images. We will bootstrap simple images and apply increasingly complex neural networks to them. In the end, the algorithm will be able to detect multiple…

Continue

Added by Andrea Manero-Bastin on December 24, 2020 at 12:28pm — No Comments

Image-to-Image Translation with Conditional Adversarial Networks

This article was written by Berkeley AI Research (BAIR) Laboratory.

Abstract 

We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but…

Continue

Added by Andrea Manero-Bastin on December 24, 2020 at 12:16pm — No Comments

A Complete Tutorial on Time Series Modeling in R

This article was written by Tavish Srivastava.

Overview

  • Time Series Analysis and Time Series Modeling are powerful forecasting tools
  • A prior knowledge of the statistical theory behind Time Series is useful before Time series Modeling
  • ARMA and ARIMA…
Continue

Added by Andrea Manero-Bastin on December 13, 2020 at 12:00pm — No Comments

Cybersecurity’s Next Frontier: 80+ Companies Using Artificial Intelligence To Secure The Future In One Infographic

This article was written on CBINSIGHTS.

We used CB Insights to identify over 80 private cybersecurity AI companies and categorized them into 9 areas of operation.

Cybersecurity companies saw a record number of funding deals last year and on a quarterly basis Q1’17 was the most active quarter for deals to private cybersecurity companies over the last five years.…

Continue

Added by Andrea Manero-Bastin on December 13, 2020 at 11:55am — No Comments

Artificial Intuition — A Breakthrough Cognitive Paradigm

This article was written by Carlos E. Perez.

In this post I will explore further the characteristics of Artificial Intuition with the goal of describing a set of patterns that can aid us in formulating novel architectures for Deep Learning. In a previous post, I introduced the idea that there are two…

Continue

Added by Andrea Manero-Bastin on November 25, 2020 at 2:00am — No Comments

Universities finally realize that Java is a bad introductory programming language

This article was written by Matthew Hughes. 

CS 106A is Stanford University’s introductory programming course. The module – which is also available to view on YouTube – introduces the fundamentals of coding in an accessible way, and lays the foundations for…

Continue

Added by Andrea Manero-Bastin on November 25, 2020 at 2:00am — No Comments

Robust Adversarial Inputs

This article was written on OpenAI. 

We’ve created images that reliably fool neural network classifiers when viewed from varied scales and perspectives. This challenges a claim from last week that self-driving cars would be hard to trick maliciously since they capture images from multiple scales, angles, perspectives, and…

Continue

Added by Andrea Manero-Bastin on November 19, 2020 at 1:59am — No Comments

How do I select SVM kernels?

This article was written by Sebastian Raschka.

Given an arbitrary dataset, you typically don't know which kernel may work best. I recommend starting with the simplest hypothesis space first -- given that you don't know much about your data -- and work your way up towards the more complex hypothesis spaces. So, the linear kernel works fine if your dataset…

Continue

Added by Andrea Manero-Bastin on November 4, 2020 at 8:03am — No Comments

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,…

Continue

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…

Continue

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…

Continue

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…

Continue

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…

Continue

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…

Continue

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…

Continue

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…

Continue

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

Blog Topics by Tags

Monthly Archives

2021

2020

2019

2018

© 2021   TechTarget, Inc.   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service