Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Machine Learning: Data Analysis 2017
Rating: 3.2 out of 5(15 ratings)
138 students

Machine Learning: Data Analysis 2017

Machine Learning is the most up to date technique in data analysis. Learn this course and enjoy the top-paying jobs.
Last updated 8/2017
English

What you'll learn

  • Deal with large data sets.
  • Work with large scale learning algorithms
  • Solve regression and problems
  • Use Big data technology for complex data analysis

Course content

7 sections20 lectures3h 11m total length
  • Introduction1:04
  • What's Machine Learning10:29
  • The Background of Machine Learning12:39

Requirements

  • A PC or Mac
  • A mood to learn
  • Basic python

Description

Note: Machine Learning typically data analyst are some of the most expensive and coveted professionals around today.Data analysts enjoy one of the top-paying jobs, with an average salary of $140,000 according to Glassdoor .That's just the average! And it's the future.

Machine Learning is very important in Data mining. Also,machine Learning is a growing field. and it is widely used when searching the web, placing ads, credit scoring, stock trading and for many other applications.Ubiquitous examples of machine learning are Google’s web search, spam filters and self-driving cars.Machine learning as it relates to artificial intelligence is an exciting field that focuses on developing complex programs that enable computers to teach themselves to grow. 

Our course is designed to make it easy for everyone to master machine learning. It has been divided in to following main sections :

  1. Introduction to machine learning
  2. Hadoop
  3. Data Flow Systems
  4. Big data

This amazing Course will help you quickly master all the difficult concepts and will the learning will be a breeze. 

Let's get started.



Who this course is for:

  • Web developers
  • Entrepreneur
  • Anyone with a data science background