Artificial Intelligence Training Series – Machine Learning Business Big Data Science

Artificial Intelligence Training Series – Machine Learning Business Big Data Science

Designed by our professional data scientists, machine learning pioneer and artificial intelligence trainer, this course shares our knowledge and helps you to learn coding theories, algorithms and code bases in a convenient way. We will guide you through the world of learning the machine. Through each tutorial, you’ll develop new skills and enhance your understanding of this challenging but profitable sub-field of data science.

This course covers a variety of topics, including

The neural network foundation
The basics of TensorFlow
Artificial neural network
Close range
Neural network of convolutions
Repeated neural network
Automatic encoding
Strengthen learning
Data processing
What is machine learning and how to implement it
The core concepts of machine learning
Basic of Machine Learning and modern best practices with a digit classification problem of MNIST
The types of problems deep learning/AI solves
Understand data science, challenges and how to deal with them

There are many machine learning frameworks, so why use TensorFlow?

TensorFlow is an open source software library that uses a data flow diagram for numerical calculations. The nodes in the graph are mathematical operations, and the edges represent a range of array (tensor) data that communicate between them. Flexible architecture allows you to use your calculations to one or more CPU or GPUs on your desktop, server, or mobile device using a single API. TensorFlow was originally developed by researchers and engineers at the Google Brain Team at the Google Machine Intelligence Institute for deep machine learning and neural network research, but this system is quite universal for use in many other areas.

It’s used by major corporations worldwide, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, SAP, Qualcomm, IBM, Intel and of course Google!

Become a machine learning master today! We will see you in this course!