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.
Third article of a serie of articles introducing deep learning coding in Python and Keras framework.
Second article of a serie of articles introducing to deep learning coding in Python and Keras framework.
An introduction to Decision Trees.
First article of a serie of articles introducing to deep learning coding in Python and Keras framework
In this tip, I’ll discuss our first machine-learning algorithm: k-Nearest Neighbors.
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.
Best Practice For Opinion and Text Mining Based on Naïve Bayesian Classifier. This article will explain complete and describe detail by detail and step by step computational matters.
Build a recommendation system using collaborative filtering and matrix factorization.
Spam detection in Scala using Deeplearning4j.
Using Collaborative Filtering to find people who share tastes, and for making automatic recommendations based on things that other people like.
A walkthrough of common machine learning tasks – by building a Naive Bayes Spam Classifier using python and scikit-learn
This article describes how to use a neural network to recognize programming languages, as an entry for CodeProject's Machine Learning and Artificial Intelligence Challenge.
Create a Spam Filter Using Machine Learning
Use machine learning to determine the programming language of text
Detect the programming language of a code snippet using neural networks in Azure ML Studio
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.
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.
Now that we got the basics over with, It's time for improvement!
Train a binary classifier in Azure and then use it in a C# application.
Entry in the Artificial Intelligence and Machine Learning Contest. Here's how I learned / guessed how to find spam.