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Machine Learning

This category contains articles about Machine Learning topics.

Represent Word as Vector from Word2Vec with GenSim

This short tutorial will concentrate on how-to get vector representation of word from pre-trained word2vec (published by Tomas Mikolov). Following these steps below: Assume your OS had Python environment. We recommend to install Anaconda for working with Python. Open Terminal and install GenSim by typing pip install --upgrade gensim. Download pre-trained …

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Install TensorFlow on Anaconda [Windows 10]

Introduction This tutorial concentrate on how-to install TensorFlow (CPU and GPU) on Windows 10 with Anaconda environment. Prerequisite You must have Anaconda installed on your machine. [Readme] TensorFlow only supports version 3.5.x of Python on Windows. However, if you use Anaconda, you can create a new environment with Python 3.5. …

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Machine Learning [Lecture Notes]

If you would like to begin studying Machine Learning, in theory approach, we recommend the lecture notes of Prof. Andrew Ng (Stanford University). The chapters are given below: Supervised Learning, Discriminative Algorithms [cs229-notes1] Generative Algorithms [cs229-notes2] Support Vector Machines [cs229-notes3] Learning Theory [cs229-notes4] Regularization and Model Selection [cs229-notes5] Online Learning and …

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Install NLTK in Continuum Anaconda Environment

After complete this tutorial, we will have NLTK  (Natural Language Toolkit) platform installed in Anaconda environment. NLTK is a leading platform for building Python programs to work with human language data. And Anaconda is the leading open data science platform powered by Python. Following these steps below to installing Anaconda and NLTK: …

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