Machine Learning: Data Analysis 2017

Machine Learning: Data Analysis 2017, available at $19.99, has an average rating of 3.15, with 20 lectures, based on 15 reviews, and has 138 subscribers.

You will learn about Deal with large data sets. Work with large scale learning algorithms Solve regression and problems Use Big data technology for complex data analysis This course is ideal for individuals who are Web developers or Entrepreneur or Anyone with a data science background It is particularly useful for Web developers or Entrepreneur or Anyone with a data science background.

Enroll now: Machine Learning: Data Analysis 2017

Summary

Title: Machine Learning: Data Analysis 2017

Price: $19.99

Average Rating: 3.15

Number of Lectures: 20

Number of Published Lectures: 20

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

Web developers
Entrepreneur
Anyone with a data science background

Target Audiences

Web developers
Entrepreneur
Anyone with a data science background

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 :

Introduction to machine learning
Hadoop
Data Flow Systems
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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What's Machine Learning

Lecture 3: The Background of Machine Learning

Chapter 2: Algorithms

Lecture 1: Intro to Algorithms

Lecture 2: Large Scale Learning

Chapter 3: Friends And Hadoop

Lecture 1: Intro to Hadoop

Lecture 2: Current Big Data Systems

Chapter 4: Programming for Data Flow Systems

Lecture 1: How to Programming Part 1

Lecture 2: How to Programming Part 2

Lecture 3: Intro to Basic Spark

Lecture 4: Basic Spark for Data Flow Systems

Lecture 5: Vectors and Matrices in Spark Part 1

Lecture 6: Vectors and Matrices in Spark Part 2

Lecture 7: Vectors and Matrices in Spark Part 3

Lecture 8: Intro to Spark Machine Learning

Lecture 9: A quick Tour of Spark Machine Learning

Chapter 5: Beyond Paralleization

Lecture 1: Approximation

Chapter 6: Practical Big Data

Lecture 1: Practical Big Data

Lecture 2: Size vs Complexity

Chapter 7: Conclusion

Lecture 1: Conclusion

Instructors

EDULearning Academy, Inc
Programming Made Easy

Rating Distribution

1 stars: 2 votes
2 stars: 2 votes
3 stars: 7 votes
4 stars: 1 votes
5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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