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Narin Luangrath

Narin Luangrath is a Product Engineer at Leverege who follows machine learning and artificial intelligence developments. He recently graduated from Wesleyan University with degrees in Math, Computer Science and Data Analysis.

Narin Luangrath is a Product Engineer at Leverege who follows machine learning and artificial intelligence developments. He recently graduated from Wesleyan University with degrees in Math, Computer Science and Data Analysis.

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Articles

How Machine Learning Programs “Learn” - Naive Bayes Classifier and Neural Networks
How Machine Learning Programs “Learn” - Naive Bayes Classifier and Neural Networks

How Machine Learning Programs “Learn” - Naive Bayes Classifier and Neural Networks

In this article, we look at two machine learning (ML) techniques, Naive Bayes classifier and neural networks, and demystify how they work.

Narin Luangrath

Is Machine Learning Right for Your Business?
Is Machine Learning Right for Your Business?

Is Machine Learning Right for Your Business?

Should you implement machine learning in your business? These are the ML-related questions your company should be asking.

Narin Luangrath

Machine Learning Crash Course, Part I: Supervised Machine Learning
Machine Learning Crash Course, Part I: Supervised Machine Learning

Machine Learning Crash Course, Part I: Supervised Machine Learning

In this article we explain what machine learning actually is and walk through some concrete examples, focusing on supervised machine learning algorithms.

Narin Luangrath

Machine Learning Crash Course, Part II: Unsupervised Machine Learning
Machine Learning Crash Course, Part II: Unsupervised Machine Learning

Machine Learning Crash Course, Part II: Unsupervised Machine Learning

Let's take a look at two other ML subdisciplines: Unsupervised learning and deep learning. What is deep learning? What is unsupervised learning?

Narin Luangrath

What is Google Cloud ML Engine?
What is Google Cloud ML Engine?

What is Google Cloud ML Engine?

What is Google Cloud ML Engine? Learn how to use it to scale up a machine learning algorithm in a shorter amount of time.

Narin Luangrath