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Statistical Mechanics of Deep Neural Networks

Introduction For the past year or two, we have talked a lot about how we can understand the properties of Deep Neural Networks by examining...

Explaining Support Vector Machines (SVM)

One of the most prevailing and exciting supervised learning models with associated learning algorithms that analyse data and recognise patterns is Support Vector Machines...

Machine Learning-based Anti spoofing Methods for Facial Recognition Software

Machine Learning-based Anti spoofing Methods for Facial Recognition SoftwareFacial-recognition spoofing emerged to combat accurate identification from facial recognition software. For example, Business Insider reported that in...

EU vs Virus Hackathon

A Little Bit of Context PlusVitech is a Spanish company that was founded in 2013 with the key mission to improve...

Introduction to Degrees of Freedom in Machine Learning

Degrees of freedom is an important concept from statistics and engineering. It is often employed to summarize the number of...

Machine Learning algorithms and models

Machine learning involves the use of machine learning algorithms and models. For beginners, this is very confusing as often “machine learning algorithm” is...

Protecting your Machine Learning Investment?

Manufacturers and suppliers commonly offer maintenance contracts to companies who purchase operation-critical equipment. A preventative maintenance application...

Challenges in Imbalanced Classification

Imbalanced classification is primarily challenging as a predictive modeling task because of the severely skewed class distribution.

Protecting your Machine Learning Investment (Part II)

Protection of the training setCreating a good training set for a specific machine...

Basics of Graph machine learning

Just as graphs make it easier for us to understand and act on complex data, graph machine learning can take graph...

Using Deep learning for mechanical property evaluation

New technique allows for more precise measurements of deformation characteristics using nanoindentation tools.A standard method for...

End-to-End Machine Learning Project with Scikit-Learn and TensorFlow

In this chapter, you will go through an example project end to end, pretending to be...

Fundamentals of ML with Scikit-Learn & TensorFlow

Why Use Machine Learning?Machine Learning is the science (and art) of programming computers so they...

Fundamentals of ML with Scikit-Learn & TensorFlow

Why Use Machine Learning?Machine Learning is the science (and art) of programming computers so they...

Machine learning Classification with Scikit-Learn and TensorFlow

MNISTIn this chapter, we will be using the MNIST dataset,...

Examples of Machine learning

Machine learning is providing enterprise-level solutions and careers for many companies. It is quite a broad field, however, and comprises many subcategories and countless...