[UDACITY] MACHINE LEARNING ENGINEER NANODEGREE V1.0.0 Free Download
In this program you will master Supervised, Unsupervised, Reinforcement, and Deep Learning fundamentals. You will also complete a capstone project in your chosen domain.
- 2 Terms
- 6 Months
- Study 5-10 hrs / week
CO – CREATED WITH
- amazon webservices
Become career-ready faster
INDUSTRY SIZE & DEMAND
Machine Learning Market will be worth 8.81 Billion USD by 2022; growing at a CAGR of 44%.
Machine Learning Engineer is one of the most in-demand jobs in the industry
RANKED #08 CNBC
Udacity ranked as the most disruptive learning company in the world for 2 years in a row by CNBC
Join a global community of over 50,000 ML Engineers who have learned with Udacity
Prerequisites and Requirements
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. Including:
- Strings, numbers, and variables
- Statements, operators, and expressions
- Lists, tuples, and dictionaries
- Conditions, loops
- Procedures, objects, modules, and libraries
- Troubleshooting and debugging
- Research & documentation
- Problem solving
- Algorithms and data structures
Intermediate statistical knowledge, of the sort gained through any of Udacity’s introductory statistics courses (listed in our FAQ at the bottom of this page). Including:
- Populations, samples
- Mean, median, mode
- Standard error
- Variation, standard deviations
- Normal distribution
- Precision and accuracy
- Hypothesis testing
- Problem solving
- Confidence Interval, P-values, T-test, Statistical Significance
Intermediate calculus and linear algebra mastery, addressed in the Linear Algebra Refresher Course, including:
- Series expansions
- Matrix operations through eigenvectors and eigenvalues
WHAT YOU LEARN
Study cutting edge Content
Term 1 : Machine Learning – Basics
Term fee includes
Best in-class content by industry leaders in the form of bite-size videos and quizzes.
Machine Learning Foundations
Explore the core concepts of Machine Learning which involve understanding the nuances in your data.
Now that you have a background in model building, you will learn about supervised learning, a common class of methods for model construction.
In this lesson, we will cover unsupervised learning and how it is suitable for different kinds of problem domains.
Industry relevant projects + unlimited project reviews by our global reviewers
Predicting Boston Housing Prices
Find Donors for CharityML
Creating Customer Segments
We guide and support you throughout your learning journey through these services.
Collaborate with Fellow Students
Project reviews & feedback
Receive actionable feedback from expert project reviewers until you get your code right!
Your Nanodegree journey
Udacity Course Link: https://in.udacity.com/course/machine-learning-engineer-nanodegree–nd009t
Course Download Now: For Download – Click here