Some of our clients

Course Code

automl

Duration

14 hours (usually 2 days including breaks)

Requirements

Experience with machine learning algorithms.
Python or R programming experience.

Audience

Data analysts
Data scientists
Data engineers
Developers

Overview

AutoML is user-friendly machine learning software that automates much of the work needed to select an ideal machine learning algorithm, its parameter settings, and pre-processing methods.

This instructor-led, live training (onsite or remote) is aimed at technical persons with a background in machine learning who wish to optimize the machine learning models used for detecting complex patterns in big data.

By the end of this training, participants will be able to:

Install and evaluate various open source AutoML tools.
Train high quality machine learning models.
Efficiently solve different types of supervised machine learning problems.
Write just the necessary code to initiate the automated machine learning process.

Format of the Course

Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.

Course Customization Options

To request a customized training for this course, please contact us to arrange.
To learn more about AutoML, please visit: https://www.automl.org/

Course Outline

Introduction

Setting up a Working Environment

Overview of AutoML Features

How AutoML Explores Algorithms

Gradient Boosting Machines (GBMs), Random Forests, GLMs, etc.

Solving Problems by Use-Case

Solving Problems by Training Data Type

Data Privacy Considerations

Cost Considerations

Preparing Data

Working with Numeric and Categorical Data

IID tabular data (H2O AutoML, auto-sklearn, TPOT)

Working with Time Dependent Data (Time-Series Data)

Classifying Raw Text

Classifying Raw Image Data

Deep Learning and Neural Architecture Search (TensorFlow, PyTorch, Auto-Keras, etc.)

Deploying an AutoML Method

A Look at the Algorithms Inside AutoML

Ensembling Different Models Together

Troubleshooting

Summary and Conclusion

Testimonials

★★★★★

Ref material to use later was very good.

PAUL BEALES- Seagate Technology.

Course:Applied Machine Learning

What did you like the most about the training?: Gave me good practice with using R to build machine learning systems for real situations. I can use this in my work straight away. This was an excellent course. One of the best I have had.

Matthew Thomas - British Telecom

Course:Applied Machine Learning

It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.

Jonathan Blease

Course:Artificial Neural Networks, Machine Learning, Deep Thinking

The trainer was so knowledgeable and included areas I was interested in.

Mohamed Salama

Course:Data Mining & Machine Learning with R

Excercises

L M ERICSSON LIMITED

Course:Machine Learning

I liked the lab exercises.

Marcell Lorant - L M ERICSSON LIMITED

Course:Machine Learning

The Jupyter notebook form, in which the training material is available

L M ERICSSON LIMITED

Course:Machine Learning

There were many exercises and interesting topics.

L M ERICSSON LIMITED

Course:Machine Learning

Some great lab exercises analyzed and explained by the trainer in depth (e.g. covariants in linear regression, matching the real function)

L M ERICSSON LIMITED

Course:Machine Learning

It's just great that all material including the exercises is on the same page and then it gets updated on the fly. The solution is revealed at the end. Cool! Also, I do appreciate that Krzysztof took extra effort to understand our problems and suggested us possible techniques.

Attila Nagy - L M ERICSSON LIMITED

Course:Machine Learning

It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback

Kamila Begej - GE Medical Systems Polska Sp. Zoo

Course:Machine Learning – Data science

I like that training was focused on examples and coding. I thought that it is impossible to pack so much content into three days of training, but I was wrong. Training covered many topics and everything was done in a very detailed manner (especially tuning of model's parameters - I didn't expected that there will be a time for this and I was gratly surprised).

Bartosz Rosiek - GE Medical Systems Polska Sp. Zoo

Course:Machine Learning – Data science

I like that it focuses more on the how-to of the different text summarization methods

Course:Text Summarization with Python

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CA$9,317

is growing fast!

We are looking to expand our presence in Canada!

As a Business Development Manager you will:

expand business in Canada
recruit local talent (sales, agents, trainers, consultants)
recruit local trainers and consultants

We offer:

Artificial Intelligence and Big Data systems to support your local operation
high-tech automation
continuously upgraded course catalogue and content
good fun in international team

If you are interested in running a high-tech, high-quality training and consulting business.

Apply now!

AutoML Training Course

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Requirements

Overview

Course Outline

Testimonials

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