Subscribe to DSC Newsletter

Andrea Manero-Bastin's Blog (35)

50 Successful Blockchains Applications

This article was written by Matteo Gianpietro Zago.

 When talking about blockchains, we commonly think of its applications in the future. “Blockchain will solve this, blockchain will achieve that”. It’s easy to forget that blockchains are already deployed in the wild.

Pick an…

Continue

Added by Andrea Manero-Bastin on August 6, 2019 at 5:00am — No Comments

R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms

This article was written by Rohith Gandhi.

Introduction

Computer vision is an interdisciplinary field that has been gaining huge amounts of traction in the recent years(since CNN) and self-driving cars have taken centre stage. Another…

Continue

Added by Andrea Manero-Bastin on July 31, 2019 at 11:00am — No Comments

Visualizing and Animating Optimization Algorithms with Matplotlib

This article was written by Louis Tiao.

 

In this series of notebooks, we demonstrate some useful patterns and recipes for visualizing animating optimization algorithms using Matplotlib.

 …

Continue

Added by Andrea Manero-Bastin on July 19, 2019 at 10:30pm — No Comments

How to build your own Neural Network from scratch in Python

This article was written by James Loy.

 

Update: When I wrote this article a year ago, I did not expect it to be thispopular. Since then, this article has been viewed more than 450,000 times, with more than 30,000 claps. It has also made it to the front page of Google, and it is among the first few search results for…

Continue

Added by Andrea Manero-Bastin on July 4, 2019 at 4:30am — No Comments

When Your Boss Is an Algorithm

This article was written by Alex Rosenblat in the New York Times Opinion.

 There are nearly a million active Uber drivers in the United States and Canada, and none of them have human supervisors. It’s better than having a real boss, one driver in the Boston area told me.,”except when something goes wrong.”

When something does go wrong, Uber…

Continue

Added by Andrea Manero-Bastin on June 14, 2019 at 9:00am — No Comments

Time Series Forecasting with RNNs

This article was written by Marek Galovič.

 In this article I want to give you an overview of a RNN model I built to forecast time series data. Main objectives of this work were to design a model that can not only predict the very next time step but rather generate a sequence of predictions and utilize multiple driving time series together with a…

Continue

Added by Andrea Manero-Bastin on June 9, 2019 at 11:30am — No Comments

Deep Knowledge: Next Step After Deep Learning

This article was written by David March.

 Data science has been around since mankind first did experiments and recorded data. It is only since the advent of big and heterogenous data that…

Continue

Added by Andrea Manero-Bastin on May 23, 2019 at 4:30am — No Comments

A Complete Machine Learning Project Walk-Through in Python: Part One

This article was written by Will Koehrsen.

 Reading through a data science book or taking a course, it can feel like you have the individual pieces, but don’t quite know how to put them together. Taking the next step and solving a complete machine learning problem can be daunting, but preserving and completing a first…

Continue

Added by Andrea Manero-Bastin on May 20, 2019 at 6:30am — No Comments

Top 10 Neural Network Architectures

This article was written by James Le.

Some examples of tasks best solved by machine learning include:

  • Recognizing patterns: Objects in real scenes, Facial identities or facial expressions, Spoken words.
  • Recognizing anomalies: Unusual sequences of credit card transactions, Unusual patterns of sensor readings in a nuclear power…
Continue

Added by Andrea Manero-Bastin on May 20, 2019 at 6:00am — No Comments

Deep learning: the final frontier for signal processing and time series analysis?

This article was written by Alexandr Honchar.

People use deep learning almost for everything today, and the “sexiest” areas of applications are computer vision, natural language processing, speech and audio analysis, recommender systems and predictive analytics. But there is also one field that is unfairly forgotten in terms of machine learning — signal processing (and, of course,…

Continue

Added by Andrea Manero-Bastin on May 10, 2019 at 6:30am — No Comments

Unsolved Problems in Machine Learning

Quora contribution written by Chomba Bupe.

I am actually not even aware of any machine learning (ML) problem that is considered to have been solved recently or in the past. This tells you a lot about how hard things really are in ML. Of course, if you read media outlets, it may seem like researchers are sweeping the floor clean with deep learning (DL), solving ML problems one…

Continue

Added by Andrea Manero-Bastin on April 21, 2019 at 6:00am — No Comments

Astonishing Hierarchy of Machine Learning Needs

This article was written by V Sharma.

Astonishing Hierarchy of Machine Learning Needs – Artificial intelligence and machine learning are used interchangeably often but for they are not the same. Machine learning is one of the most active areas and a way to achieve AI. Why ML is so good today; for this, there are a couple of reasons. Machine Learning entirely depend upon…

Continue

Added by Andrea Manero-Bastin on April 10, 2019 at 2:30am — No Comments

Robust Regressions: Dealing with Outliers

This article was written by Michael Grogan.

It is often the case that a dataset contains significant outliers – or observations that are significantly out of range from the majority of other observations in our dataset. Let us see how we can use robust regressions to deal with this issue.

I described in…

Continue

Added by Andrea Manero-Bastin on April 4, 2019 at 9:30am — No Comments

Five Industries Where Blockchain Has Innovated Beyond Cryptocurrency

This article was written by Patricia Jones.

The advent of the digital age has led to several innovations which will play a huge role in the future of international society, and one of these blockchain technology. The…

Continue

Added by Andrea Manero-Bastin on April 4, 2019 at 9:00am — No Comments

Advanced cross-validation tips for time series

This article was written by Datapred.

 

In a previous post, we explained the concept of cross-validation for time series, aka backtesting, and why proper backtests matter for time series modeling.

The goal here is to dig deeper and discuss a few coding tips that will help you cross-validate your predictive models correctly.…

Continue

Added by Andrea Manero-Bastin on March 28, 2019 at 10:04am — No Comments

Efficient Tuning of Online Systems Using Bayesian Optimization

This article, written by the Facebook research team, was written by Ben Letham, Brian Karrer, Guilherme Ottoni and Eytan Bakshy.…

Continue

Added by Andrea Manero-Bastin on March 19, 2019 at 9:30am — No Comments

Demystifying the Math of Support Vector Machines (SVM)

This article was written by Krishna Kumar Mahto.

 So, three days into SVM, I was 40% frustrated, 30% restless, 20% irritated and 100% inefficient in terms of getting my work done. I was stuck with the Maths part of Support Vector Machine. I went through a number of YouTube videos, a number of documents, PPTs and PDFs of lecture notes, but…

Continue

Added by Andrea Manero-Bastin on March 14, 2019 at 6:30am — No Comments

How to Configure the Number of Layers and Nodes in a Neural Network

This article was written by Jason Brownlee

Artificial neural networks have two main hyperparameters that control the architecture or topology of the network: the number of layers and the number of nodes in each hidden layer. You must specify values for these parameters when configuring your network. The most reliable way to configure…

Continue

Added by Andrea Manero-Bastin on February 17, 2019 at 2:00am — No Comments

Data Science Jargon Explained to the Layman

This article was written by Enda Ridge.

Data Scientists need to communicate without jargon so customers understand, believe and care about their recommendations. Here is a Data Science jargon buster to help.

Data Science is a technical…

Continue

Added by Andrea Manero-Bastin on February 17, 2019 at 1:30am — No Comments

What Are Machine Learning Models Hiding?

This article was written by Vitaly Shmatikov.

 Machine learning is eating the world. The abundance of training data has helped ML achieve amazing results for object recognition, natural language processing, predictive analytics, and all manner of other tasks. Much of this training data is very sensitive, including personal photos, search queries,…

Continue

Added by Andrea Manero-Bastin on February 17, 2019 at 1:30am — No Comments

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

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