Zero to Deep Learning Bootcamp One - Introduction to Data Science and Machine Learning

Zero to Deep Learning Bootcamp One – Introduction to Data Science and Machine Learning | Cloud Academy
English | Size: 3.90 GB
Genre: eLearning

Introduction

This Learning Path is the first of three Learning Paths in the Zero to Deep Learning Bootcamp Cloud Academy has developed in collaboration with Deep Learning expert Francesco Mosconi from Catalit. The Zero to Deep Learning Bootcamp has been developed to help you master Deep Learning in an interactive, self paced format.

Intended Audience

Anyone interested in getting started with practical applications of Data Science and Deep Learning. Whether you’re just starting out with machine learning or a more experienced data scientist looking to add deep learning to the mix, this learning path will provide the necessary skills to serve as a solid foundation for you to continue learning after the course has been completed.

Overview

This first learning Path introduces you to the principles of machine learning. We introduce you to the fundamentals of data science, machine learning ,and data modelling before we progress to more practical applications of data modeling and learning in Bootcamp Two and Bootcamp Three.
This Learning path comprises 2 hours of high definition video delivered in short lectures, practical exercises, and explanations. There is an assessment exam at the end of the Learning Path to check point your knowledge and add the relevant skills to your skills profile.

Learning Objectives

Recognize and explain the key principles of data science
Recognize and explain the key principles of machine learning

Course Agenda

The learning path will start out covering simple data and structured data, then moving onto images, with sound, with text, and more complex data where deep learning comes to life. By the end of this learning path, you’ll be able to recognize which problems can be solved with deep learning and organize data in a way that can be used by a neural network.

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