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Note:Course fully updated in April 2016. 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 :
This amazing Course will help you quickly master all the difficult concepts and will the learning will be a breeze.
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|Section 1: Introduction|
What's Machine LearningPreview
The Background of Machine Learning
|Section 2: Algorithms|
Intro to Algorithms
Large Scale Learning
|Section 3: Friends And Hadoop|
Intro to Hadoop
Current Big Data Systems
|Section 4: Programming for Data Flow Systems|
How to Programming Part 1
How to Programming Part 2
Intro to Basic Spark
Basic Spark for Data Flow Systems
Vectors and Matrices in Spark Part 1
Vectors and Matrices in Spark Part 2
Vectors and Matrices in Spark Part 3
Intro to Spark Machine Learning
A quick Tour of Spark Machine Learning
|Section 5: Beyond Paralleization|
|Section 6: Practical Big Data|
Practical Big Data
Size vs Complexity
|Section 7: Conclusion|
At EDULearning Academy, technology is all we teach. Whatever you're interested in from programming, development or design - we have it covered.
EDULearning Academy develops high quality video training courses around topics in mobile development including iPhone, Android, Windows Phone, Java, Responsive Web Design and other emerging technologies.
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