Matrix AI is offering an on-site intensive 2.5 week (12 days) corporate training deep learning course
catered to
senior and principal software engineers of technology companies. The course will train them skills necessary
for the
practical use of machine-learning theory and deep learning techniques for solving real-world business
problems.
Engineers will also learn how to communicate statistical insights intuitively to business stakeholders.
What is Deep Learning
Artificial Intelligence (AI) is the application of learning, reasoning, problem solving, sensing, and
creativity to
computing machines. A subfield of AI is machine learning that focuses on developing statistical models that
computers
can execute to learn against large amounts of observational data. This allows the computer to make
predictions or
decisions without explicit instructions from the programmer. A subfield of machine learning is deep
learning, which
focuses on the usage of deep neural networks as the primary statistical model for regression and
classification.
The field of deep learning was developed from a large corpus of statistics, machine learning theory and the
development of artificial neural networks. Statistical techniques are roughly separated into 2 forms:
Explaining the past
Predicting the future
Deep learning has become incredibly successful in predicting the future in tasks such as image
classification, object
detection, nautral language translation, game decision analysis and more.
Deep Convolutional Neural Networks from Alexnet to Resnet
Batch Normalization
Transfer Learning
Our chapters involves practical exercises with these datasets:
Wine Quality Regression/Classification
MNIST (Hand Drawn Digits) Binary Classification
Abalone Age Regression
CIFAR10 Multi-Class Image Classification
COCO Multi-Class Image Classification
Students will be able to develop their models and compete on classification accuracy and regression scores.
Prerequisites
Course will be delivered with the Python 3 programming language in a Jupyter notebook environment with the
utilization of these libraries:
Numpy
Pandas
Matplotlib
Scipy
Scikit-Learn
Scikit-Image
Keras
Tensorflow
Tensorboard
We expect students to be able to understand the Python 3 programming language, and experience working on
Unix-like computer systems.
Students require basic understanding of algebra and differentiation.
Students need to have a laptop or computing system available that is setup with a Python 3 development
environment and internet connection. We provide the Git repository of the course material and nix-shell
environment to speed up environment setup.
Course Information
Delivery
Course can be delivered on-site at the client's office in Sydney, Australia.
Alternatively the course can be delivered remotely using Zoom.
Other arrangements are possible, please contact us.
Schedule
The course is expected to take 12 half-days. Each half-day consists of 4 hrs of instruction and practice.
This translates to 2.5 calendar weeks: Mon-Fri, Mon-Fri then Mon-Tues.
Other arrangements are possible, please contact us.
Pricing
Pricing is calculated on a per-student basis. We have bulk discounts available.
Instructor
Course instructor is Roger Qiu, CEO and Founder of Matrix AI. He is a Principal Machine Learning Engineer
consultant who has led million dollar big-data machine learning projects. Prior to Matrix AI, he had
previously
founded a web application development bootcamp called Polycademy and was the lead instructor. He is
experienced in
teaching and communicating complex ideas to software engineers. He has also presented at conferences and meetups such as YOW Data and Sydney Papers Club.
Other team members of Matrix AI may provide assistance.
History
The deep learning course was first piloted at NetScout (NASDAQ: NTCT) training their senior and principal
software engineers on machine learning. Read about our experience
Roger's course was a great way to get up to speed on machine learning. The mathematical concepts
introduced
really made the subject matter stick. Now, we are capable of dissecting ML-based research papers,
understanding
what the innovations are, and applying them to problems we want to solve.
-- David Turnbull - Principal Software Engineer at NetScout
Over the last several weeks, Matrix AI has been training the senior and principal software engineers at NetScout (NASDAQ: NTCT) on machine learning with a focus on deep neural networks....