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Andrea Manero-Bastin's Blog (42)

Using Machine Learning to Solve Business Problems

This article was written by Soft Media Lab.

It has the following sections.

Contents

  • What is Machine Learning?
  • How to apply machine learning to…
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Added by Andrea Manero-Bastin on September 24, 2019 at 6:30am — No Comments

The simplest explanation of machine learning you’ll ever read

This article was written by Cassie Kozyrkov.

 

You’ve probably heard of machine learning and artificial intelligence, but are you sure you know what they are? If you’re struggling to make sense of them, you’re not alone. There’s a lot of buzz that makes it hard to tell what’s science and what’s science fiction. Starting with the names…

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Added by Andrea Manero-Bastin on September 21, 2019 at 9:00am — No Comments

Introduction to Various Reinforcement Learning Algorithms

This article was written by Steeve Huang.

 

Reinforcement Learning (RL) refers to a kind of Machine Learning method in which the agent receives a delayed reward in the next time step to evaluate its previous action. It was mostly used in games (e.g. Atari, Mario), with performance on par with or even exceeding humans. Recently, as the algorithm evolves with the combination of Neural Networks, it is capable…

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Added by Andrea Manero-Bastin on September 9, 2019 at 12:30am — No Comments

Object Detection with 10 lines of code

This article was written by Moses Olafenwa.

One of the important fields of Artificial Intelligence is Computer Vision. Computer Vision is the science of computers and software systems that can recognize and understand images and scenes. Computer Vision is also composed of various aspects such…

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Added by Andrea Manero-Bastin on August 31, 2019 at 10:30am — 1 Comment

What is AI: explaining it from different dimensions

This article was written by Swami Chandrasekaran.

Click on the picture below to zoom in. 

AI is a fascinating area and I personally feel it will not do justice to explain it without looking at it from…

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Added by Andrea Manero-Bastin on August 11, 2019 at 7:30am — No Comments

Object Detection using Deep Learning: Faster R-CNN,YOLO,SSD

This article was written by Ankit Sachan.

 In this post, I shall explain object detection and various algorithms like Faster R-CNN, YOLO, SSD. We shall start from beginners’ level and go till the state-of-the-art in object detection, understanding the intuition, approach and salient features of each method.…

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Added by Andrea Manero-Bastin on August 11, 2019 at 7:30am — No Comments

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…

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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…

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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.

 …

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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…

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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…

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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…

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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…

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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…

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

Forecasting through ARIMA Modeling using R – Step-by-step Guide

This article was written by Roopam Upadhyay.

This article is a continuation of our manufacturing case study example to forecast tractor sales through time series and ARIMA models. You can find the previous parts at the following links:

Part 1: Introduction to time series modeling & forecasting

Part 2: Time series…

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Added by Andrea Manero-Bastin on May 10, 2019 at 7:00am — 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,…

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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…

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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…

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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…

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

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