Categories
Udacity

[UDACITY] MACHINE LEARNING ENGINEER NANODEGREE V1.0.0


Views:
2,445

CAREER-READY NANODEGREE–nd009t

[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

  • kaggle
  • amazon webservices

WHY ENROLL

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%.

JOB OPPORTUNITIES
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

GLOBAL COMMUNITY
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:

  • Derivatives
  • Integrals
  • Series expansions
  • Matrix operations through eigenvectors and eigenvalues

WHAT YOU LEARN

Study cutting edge Content

Term 1 : Machine Learning – Basics

Term fee includes

COURSE CONTENT

Best in-class content by industry leaders in the form of bite-size videos and quizzes.

COURSE SYLLABUS

  • Machine Learning Foundations

    Explore the core concepts of Machine Learning which involve understanding the nuances in your data.

  • Supervised Learning

    Now that you have a background in model building, you will learn about supervised learning, a common class of methods for model construction.

  • Unsupervised Learning

    In this lesson, we will cover unsupervised learning and how it is suitable for different kinds of problem domains.

PROJECTS

Industry relevant projects + unlimited project reviews by our global reviewers

PROJECT 1
  • Predicting Boston Housing Prices
PROJECT 2
  • Find Donors for CharityML
PROJECT 3
  • Creating Customer Segments

SERVICES

We guide and support you throughout your learning journey through these services.

Study Groups
  • 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