As you advance, you’ll understand all about the inner workings of Python and write professional-grade code to develop applications by following the principles of Python and object-oriented programming (OOP). The course starts with an introduction to Python, covering the basics and the installation process. With brand new sections as well as updated and improved content, you get everything you need to master Machine Learning in one course! The machine learning field is constantly evolving, and we want to make sure students have the most up–to–date information and practices available to them:įoundations of Deep Learning covering topics such as the difference between classical programming and machine learning, differentiate between machine and deep learning, the building blocks of neural networks, descriptions of tensor and tensor operations, categories of machine learning and advanced concepts such as over– and underfitting, regularization, dropout, validation and testing and much more.Ĭomputer Vision in the form of Convolutional Neural Networks covering building the layers, understanding filters / kernels, to advanced topics such as transfer learning, and feature extractions.Īnd the following sections have all been improved and added to:Īll the codes have been updated to work with Python 3.6 and 3. In this course, you’ll learn Python by building impressive applications. The Complete Machine Learning Course in Python has been FULLY UPDATED for November 2019!
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