Course Outline

Introduction

History, Evolution and Trends for Machine Learning

The Role of Big Data in Machine Learning

Infrastructure for Managing Big Data

Using Historical and Real-time Data to Predict Behavior

Case Study: Machine Learning Across Industries

Evaluating Existing Applications and Capabilities

Upskilling for Machine Learning

Tools for Implementing Machine Learning

Cloud vs On-Premise Services

Understanding the Data Middle Backend

Overview of Data Mining and Analysis

Combining Machine Learning with Data Mining

Case Study: Deploying Intelligent Applications to Deliver Personalized Experiences to Users

Summary and Conclusion

Requirements

  • An understanding of database concepts
  • Experience with software application development

Audience

  • Developers
  7 Hours
 

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Testimonials

the scope of material

Maciej Jonczyk

systematizing knowledge in the field of ML

Orange Polska

I really was benefit from the willingness of the trainer to share more.

Balaram Chandra Paul

I generally was benefit from the presentation of technologies.

Continental AG / Abteilung: CF IT Finance

Overall the Content was good.

Sameer Rohadia

Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.

Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

I really enjoyed the introduction of new packages.

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

The tutor, Mr. Michael An, interacted with the audience very well, the instruction was clear. The tutor also go extent to add more information based on the requests from the students during the training.

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

The subject matter and the pace were perfect.

Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

The example and training material were sufficient and made it easy to understand what you are doing.

Teboho Makenete

Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.

Jamie Martin-Royle - NBrown Group

The content, as I found it very interesting and think it would help me in my final year at University.

Krishan Mistry - NBrown Group

I generally liked the fernando's knowledge.

Valentin de Dianous - Informatique ProContact INC.

The broad coverage of the subjects

- Roche

Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra

Marija Hornis Dmitrovic - Marija Hornis

R programming

Osden Jokonya - University of the Western Cape

Practical exercises

JOEL CHIGADA - University of the Western Cape

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