Explanation
Machine Learning Engineer Nanodegree, in this program you will learn the basics of supervised, unsupervised, reinforcement, and deep learning. You will also complete a capstone project in your chosen category. In this program, you’ll learn valuable machine learning skills that are needed in countless industries. Investment levels in this field have continued to rise, thousands of highly valued companies have entered the field, and the demand for quality machine learning shows no signs of slowing down. Graduates of the program emerge uniquely prepared to excel in machine learning roles.
The Nanodegree program is a new outcome-based and career-oriented curriculum pathway. Each program has a clear end goal, and an ideal path to get you there. Courses are built around industry leaders like Google, AT&T, and Facebook, and taught by leading subject matter experts. Students benefit from personal guidance and project review, and have regular access to professors and course managers through an interactive forum.
What will you learn?
- Introduction about Software engineering
- Introduction Purpose Driven Program
- how Gaussian Class Function
- the machine Educational Applications
- Features of Modeling & Insertion
- clean and modular code
- Unit Test Equipment
- Introduction Amazon SageMaker
Features of the Machine Learning Engineer Nanodegree
- Publisher: common sense
- Teacher: Arpan Chakraborty
- Language : English
- Level : All Levels
- Number of courses: 42
- Duration: 15 hours
Content of the Machine Learning Engineer Nanodegree
# Section 01: Welcome to the Nanodegree program
Unit 02: Fundamentals of Software Engineering
Unit 03: Machine Learning for Productivity
Part 04: Machine Learning, Case Studies
# Part 05: Build Your Own Machine Point Project
# Episode 06: Congratulations!
Unit 07 (Selected): Additional Materials: Basics of NLP
Section 08 (Selected): Additional Materials: Convolutional Neural Networks
Section 09 (Selected): Additional Tools: Accessing the Web with tabs
# Section 10 (Selected): Additional Tools: Version Control
Requirements
- Intermediate knowledge of Python programming, of the type earned in the Introduction to Programming Nanodegree, other introductory programming courses or additional programs in global software development.
- Intermediate knowledge of statistics, the kind earned in one of Udacity’s introductory statistics courses.
- Intermediate calculus and mastery of linear algebra, addressed in a refresher algebra course
Pictures
Sample Clip
Installation Guide
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Subtitle: English
Quality: 720p
Download Links
Password file: free download software
file size
2.88 GB