In this Machine Learning full course, you'll learn the most effective Machine Learning techniques and gain practice implementing them and getting them to work for yourself. Learn some of Silicon Valley’s best practices in innovation as it pertains to Machine Learning and AI.

This Python for Machine Learning Tutorial will help you learn the Python programming language from scratch. You'll learn about Classes and Objects in Python. Everything in this course is explained with the relevant example thus you will actually know how to implement the topics that you will learn in this course.

This Python for Machine Learning Tutorial will help you learn the Python programming language from scratch. Everything in this course is explained with the relevant example thus you will actually know how to implement the topics that you will learn in this course.

Top 10 Machine Learning Algorithms You Should Know to Become a Data Scientist https://morioh.com/p/1013a5f310dd This is a practical workshop where you'll learn "hands-on" by building several different applications from scratch using TensorFlow.js. If you have ever been interested in Machine Learning, if you want to get a taste for what this exciting field has to offer, if you want to be able to talk to other Machine Learning/AI specialists in a language they understand, then this workshop is for you.

An updated deep learning introduction using Python, TensorFlow, and Keras. Everything you need to know about TensorFlow 2.0 https://morioh.com/p/2eb14ed72e5e/

Doing research to see where we currently are with faking voice audio with neural networks/deep learning. Learning to create voices from YouTube clips, and trying to see how quickly we can do new voices. In this case, I've used a Deep Convolutional Text to Speech (DCTTS) model to produce pretty darn good results. The voices in the first 2 minutes are all fake. Real Computer Vision for mobile and embedded https://morioh.com/p/974fc441c295/

In this tutorial you'll code up a simple Deep Q Network in Keras to beat the Lunar Lander environment from the Open AI Gym. It's only 150 lines of code, and Keras makes it incredibly simple to do.

Topics covered will include an overview of language vector representations, text classification, named entity recognition, and sequence to sequence modeling approaches. An emphasis will be placed on the shape of these types of problems from the perspective of deep learning architectures. This will help to develop an intuition for identifying which neural network techniques are the most applicable to new problems that practitioners may encounter. Getting Started with Natural Language Processing in Python https://morioh.com/p/04a148fa2131 This tutorial is targeted towards those interested in either natural language processing or deep learning.

Machine learning using TensorFlow for Absolute Beginners https://morioh.com/p/4dd4d14a2b7e 1. ML.NET - Machine Learning Introduction Welcome to Machine Learning with ML.NET! In this introductory video series we will introduce the concept of Machine Learning, what you can do with various tooling, and how to get started with ML.NET! 2. ML.NET Introduction Learn all about what ML.NET is and what you can do with the Framework. You will also see how customers using it, the open source momentum, and a short demo of the experience.

This tutorila will show you how to create a google cloud enviornment to perform Tensorflow machine learning tasks with a GPU graphic processing unit. We will use Google Compute Engine in conjunction with a Tesla K80 Nvidia GPU card. We will also create a jupyter notebook to use in the browser as an example. We will also use docker as an easy way to create a tensorflow enviornment. In general, if the step of the process can be described such as "do this mathematical operation thousands of times", then send it to the GPU.