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This article aims to be an introduction to the Apache Spark data processing engine, with focus on the machine learning algorithms

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technobium | Technology blog | technobium.com Reviews
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This article aims to be an introduction to the Apache Spark data processing engine, with focus on the machine learning algorithms
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1 apache spark
2 machine learning
3 logistic regression
4 scala
5 artificial neural networks
6 java
7 neuroph
8 backpropagation
9 apache opennlp
10 natural language processing
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technobium | Technology blog | technobium.com Reviews

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This article aims to be an introduction to the Apache Spark data processing engine, with focus on the machine learning algorithms

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1

Sentiment analysis using Mahout naive Bayes | technobium

http://technobium.com/sentiment-analysis-using-mahout-naive-bayes

Sentiment analysis using Mahout naive Bayes. Naive Bayes for sentiment analysis. Sentiment analysis aims to detect the attitude of a text. A simple subtask of sentiment analysis is to determine the polarity of the text: positive, negative or neutral. In this tutorial we concentrate on detecting if a short text like a Twitter message is positive or negative. For example:. For the tweet “Have a nice day! 8221; the algorithm should tell us that this is a positive message. P(Positive given Text) = P(Text giv...

2

About us | technobium

http://technobium.com/about-us

Is a project dedicated to technology enthusiasts focusing on trending topics like machine learning, artificial intelligence, security and ethical hacking. Is co-founder of technobium.com, artificial intelligence enthusiast, and a software engineer with 9 years of experience in the industry, working mainly as Java/Java EE developer. As Phd student in Electrical Engineering and Telecommunications, he is also interested in network management and security (main focus Software Defined Networking).

3

Sentiment analysis using OpenNLP document categorizer | technobium

http://technobium.com/sentiment-analysis-using-opennlp-document-categorizer

Sentiment analysis using OpenNLP document categorizer. We will talk again about sentiment analysis, this time we will solve the problem using a different approach. Instead of naive Bayes, we will use Apache OpenNLP. And more precisely, the Document Categorizer. If you need to know more about sentiment analysis, you can read the following article: Sentiment analysis using Mahout naive Bayes. Also if you are new to Apache OpenNLP. You can read the the following article: Getting started with Apache OpenNLP.

4

Introduction to clustering using Apache Mahout | technobium

http://technobium.com/introduction-to-clustering-using-apache-mahout

Introduction to clustering using Apache Mahout. To solve the problem. Basic Java programming knowledge is required for this tutorial. The following processing steps are used:. 8211; the documents are transformed to into vectors using TF-IDF weighting scheme. For more details you can see also the previous post TFIDF explained using Apache Mahout. 8211; the documents are initially clustered using the Canopy algorithm. You can find out more about the algorithm on Mahout project site. Rename the default crea...

5

Stock market prediction using Neuroph neural networks | technobium

http://technobium.com/stock-market-prediction-using-neuroph-neural-networks

Stock market prediction using Neuroph neural networks. Trying to predict the future value of a company stock or other financial instrument traded on an exchange is called stock market prediction. If we generalize the problem, we end up talking about talking about time series forecasting. This is the construction of a model which can predict future values, based on previously observed values. A common used tool for this kind of prediction are ANN. S (artificial neural networks). 8220;In machine learning.

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Logistic regression using Apache Spark. This article aims to be an introduction to the Apache Spark data processing engine, with focus on the machine learning algorithms. We will start with a few words Read More. Stock market prediction using Neuroph neural networks. Trying to predict the future value of a company stock or other financial instrument traded on an exchange is called stock market prediction. If we generalize the problem, Read More. Sentiment analysis using OpenNLP document categorizer.

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