$971.16

Auckland Machine Learning with R Weekend Workshop

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Location

TBC

Auckland, Auckland

New Zealand

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Event description

Description

In this workshop you will learn the fundamental concepts of Machine Learning and what it is. Machine Learning has been a hot topic in recent years especially in the field of medicine, finance, and the auto industry. It is used from recommending what kind of movies you would like to watch to Google’s driverless cars. Machine Learning is the future and there is high demand for people that have the skills to use it.

What you will learn:

  • Harness the power of R to build common machine learning algorithms with real-world data science applications
  • Get to grips with R techniques to clean and prepare your data for analysis, and visualise your results
  • Discover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problems
  • Predict values by using R to build decision trees, rules, and support vector machines
  • Forecast numeric values with linear regression, and model your data with neural networks
  • Evaluate and improve the performance of machine learning model
  • Be able to sufficiently enter into Kaggle competitions
  • Learn specialised machine learning techniques for text mining, social network data, big data, and more

Course Schedule

Day 1
Intro to Machine Learning and R (2 hr)

- List

- Vectors

- Data frame

- Struct

- Summary functions

- Simple calculations


Morning Tea (15min)


Support Vector machine (3hrs)

- 1 hr theory

- 2 hr practical


Lunch (30min)


Using linear regression to forecast medical expenses (2 hrs)

- 1 hr theory

- 2 hr practical




Day 2

Using Decision Trees to identify risky bank loans (2hrs)

- 1 hr theory

- 1 hr practical


Morning Tea (15min)


Using Neural Networks to predict the strength of concrete (2.5 hrs)

- 1 hr theory

- 1.5 hr practical


Lunch (30min)



How to Evaluate & Improving Model Performance (3hrs)

- 1.5 hr theory

- 1.5 hrs practical

Note:

Morning tea and lunch will be provided within the cost of the workshop



Why a practical physical workshop is better than an online course?

You can interactive with the tutor and other students in the session that you don’t get with the online workshops.

Most online courses are pre-recorded and cannot give you real time feedback on your exercises that you do. Real time feedback is important because it is most effective in helping you learn something new.

The Instructor/Presenter
DR Mohamed Elwakdy(Ph.D Electrical Engineering) – Machine Learning Technical Consultant has over ten years of experience in the area of Machine Learning and data mining with specialisation in Digital Signal Processing, Pattern Recognition and Computer Vision.


He has published many journal articles including:"A Novel Spatial Algorithm for Similar and Non-Similar Trajectories Classification of Different Objects” in: - FECS'15- The 2015 International Conference on Frontiers in Education: Computer Science and Computer Engineering, Las Vegas, USA, 2015.


Published Paper "A Novel Trajectories Classification Approach for Different Types of Ships Using a Polynomial Function and ANFIS” in: - IPCV'15 - The 19th International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, USA, 2015.


Published paper “Speech recognition using a wavelet transform to establish fuzzy inference system through subtractive clustering and neural network (ANFIS)” in: - Proceedings of the 12th WSEAS International Conference on Systems, Heraklion, Greece (Jul 22-24 – 2008)
International Journal of Circuits, Systems and Signal Processing Issue 4, volume 2, 2008 North Atlantic University (NAUN)


When

The Couse will be across 2 days

starts at 9am and finishes at 5pm

Early Bird Ticket (Limited time only)

- a copy of all the software

- All course contents including power points, Exercises, and printed documents.

- Face to face in premise training

Standard

- a copy of all the software

- All course contents including power points, Exercises, and printed documents.

- Face to face in premise training


Location:

TBC

Auckland Central City ,


Cancellation:

you can Cancel 4 weeks in advance. You will get a full refund minus administration of $50 and Credit card processing fees (if applicable)



Cancellation from 2 weeks before the event: 100% cancellation charge, 0% refunded.


In the event of cancellation of the event by STATSLAB you will be able to choose either a full refund or transfer to another date


No Show:

There will be no refund for no show.

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Date and Time

Location

TBC

Auckland, Auckland

New Zealand

View Map

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