Description
Machine Learning Engineer Nanodegree, a machine learning training course published by Udacity Academy. In this program, you will master the principles of supervised, unsupervised, reinforcement, and deep learning, and you will also complete a project in your chosen field. In this program, you’ll learn valuable machine learning skills that are in demand across countless industries. The level of investment in this space continues to rise, thousands of valuable startups have entered the space, and the demand for machine learning talent is increasing.
Graduates of the program are uniquely prepared to excel in machine learning careers. The Nanodegree program is an innovative educational pathway that is outcome-based and career path oriented. Every program has an ultimate goal and an ideal path to reach it. Courses are developed in collaboration with industry leaders such as Google, AT&T, and Facebook and taught by leading subject matter experts.
What you will learn
- An introduction to software engineering
- An introduction to object oriented programming
- How does the Gaussian class work?
- Machine learning programs
- Modeling and deployment features
- Clean and modular code
- Unit testing tools
- Introducing Amazon’s SageMaker
- And….
Specifications of the Machine Learning Engineer Nanodegree course
- Publisher: Udacity
- teacher : Arpan Chakraborty
- English language
- Education level: all levels
- Number of courses: 42
- Training duration: 15 hours
Chapters of the Machine Learning Engineer Nanodegree course
# Part 01: Welcome to the Nanodegree program
# Part 02: Software Engineering Fundamentals
# Part 03: Machine Learning in Production
# Part 04: Machine Learning, Case Studies
# Part 05: Build Your Own Machine Learning Portfolio Project
#Part 06: Congratulations!
# Part 07 (Elective): Additional Materials: NLP Fundamentals
# Part 08 (Elective): Additional Materials: Convolutional Neural Networks
# Part 09 (Elective): Additional Materials: Web Deployment with Flask
# Part 10 (Elective): Additional Materials: Version Control
Course prerequisites
- Intermediate Python programming knowledge, of the sort gained through the Introduction to Programming Nanodegree, other introductory programming courses or programs, or additional real-world software development experience.
- Intermediate statistical knowledge, of the sort gained through any of Udacity’s introductory statistics courses.
- Intermediate calculus and linear algebra mastery, addressed in the Linear Algebra Refresher Course
Pictures
Sample video
Installation guide
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English subtitle
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download link
File(s) password: www.downloadly.ir
Size
2.88 GB
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