machine-learning – DEVELOPPARADISE

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An Introduction to Basic Algorithms of Machine Learning (Part 3)

An Introduction to Basic Algorithms of Machine Learning (Part 3)

In Part 1 and Part 2 of my series, we have created conclusions about data such as “This data instance is in this class!” The next question will be “What if we assign a probability to a data instance belonging to a given class?” The answer will be discussed in the this tip.

Big Data

Big Data

It is almost everything about big data. This article explain practical example how to process big data (>peta byte = 10^15 byte) by using hadoop with multiple cluster definition by spark and compute heavy calculations by the aid of tensorflow libraries in python.

Naive Bayes Spam Classifier

Naive Bayes Spam Classifier

A walkthrough of common machine learning tasks – by building a Naive Bayes Spam Classifier using python and scikit-learn

Deep Learning – Training an AI to Play Doom

Deep Learning – Training an AI to Play Doom

With recent scientific advancements in Deep Learning, Artificial Intelligence and Neural Networks, as well as steadily evolving tools such as Tensorflow, Pytorch, and Keras, writing, testing and optimizing your own Neural Networks is now easier than ever before.

Introduction to Convolutional Neural Networks

Introduction to Convolutional Neural Networks

Have you ever wondered how Facebook knows how to suggest the right friend to tag? Speaking of it, how does the Google’s image search algorithm work? Yes, you are right, there is a neural network involved in all those tasks.

Brute Force Finds Spam

Brute Force Finds Spam

Entry in the Artificial Intelligence and Machine Learning Contest. Here's how I learned / guessed how to find spam.

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