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

Beginner
Up to 4h 16m
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Training content

3
1
COURSE
Beginner
Duration: 36 minutes and 43 seconds
Introduction to Data and Machine Learning
This lesson has been expertly created to provide you with a strong foundation in machine learning and deep learning.
COURSE
Beginner
Duration: 1 hour and 5 minutes
Getting Started With Deep Learning: Working With Data
Learn the ways in which data comes in many forms and formats with this lesson.
COURSE
Beginner
Duration: 2 hours and 4 minutes
Getting Started with Deep Learning: Introduction To Machine Learning
This lesson covers the foundations and history of machine learning as well as the principles of memory storage, computing power, and phone/web applications.
EXAM
Duration: Up to 30 minutes
Final Exam: Zero to Deep Learning - Bootcamp One - Introduction to Data Science and Machine Learning
Final Exam: Zero to Deep Learning - Bootcamp One - Introduction to Data Science and Machine Learning

Introduction
This Course is the first of three Courses 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 course will provide the necessary skills to serve as a solid foundation for you to continue learning after the course has been completed.

Prerequisites
We recommend you complete What is Cloud Computing? course to gain an understanding of the fundamentals of cloud computing before beginning this Course. No prior knowledge of data and machine learning is required.

Overview
This first course 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 Course 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 Course 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 course 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 course, 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.

Feedback
We welcome all feedback so please direct any comments or questions on this course to us at support@cloudacademy.com

Your certificate for this learning path
Catalit
This content is developed in partnership with Catalit
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About the Author

Avatar
Francesco Mosconi, opens in a new tab
Instructor
Students
11,157
Courses
8
Learning paths
8

I am a Data Science consultant and trainer. With Catalit I help companies acquire skills and knowledge in data science and harness machine learning and deep learning to reach their goals. With Data Weekends I train people in machine learning, deep learning and big data analytics. I served as lead instructor in Data Science at General Assembly and The Data Incubator and I was Chief Data Officer and co-­founder at Spire, a Y-Combinator-­backed startup that invented the first consumer wearable device capable of continuously tracking respiration and activity. I earned a joint PhD in biophysics at University of Padua and Université de Paris VI and graduated from Singularity University summer program of 2011.   

Covered Topics

Machine Learning
Analytics
Development
Artificial Intelligence
Python