AlphaZetta Academy

Deep Learning and AI

This course will provide a conceptual overview and practical hands-on experience of a wide range of key tools, techniques and processes.

At the heart of the data mining toolkit is the suite of predictive modelling methods. Accordingly, the course will develop attendees’ literacy in the strengths, characteristics and correct application of a range of predictive modelling methods, from relatively simple linear models through to complex and powerful Random Forests, Support Vector Machines, Decision Trees, Tree Boosting Machines and Neural Networks will be covered along the way. It will also teach the correct framing of predictive modelling problems, suitably preparing data, evaluating model accuracy and stability, interpreting results and interrogating models.

The two key styles of predictive modelling – operational for targeting and explanatory for insights – will be described and distinguished. As well as predictive modelling, the course will cover a range of other key data mining tools, including:

  • Data exploration and visualisation: univariate summaries, correlation matrices, heat maps, hierarchical clustering.
  • Cluster analysis – used for customer segmentation and anomaly detection
  • Other “unsupervised” outlier detection tools.

This course will primarily be taught using Rattle, a graphical interface for predictive modelling and data science in R. Participants will be exposed to “Big Data” techniques as applied to machine learning and deployed on Cloud Computing platforms. The following additional topics may be covered depending on the pace and interests of the class:

  • Link and network analysis visualisation – which provide a simple and compelling way to communicate and analyse relationships, and are commonly applied in forensics, human resources and law enforcement.
  • Association analysis – used in retail market basket analysis and the assessment of risk groupings.
  • Frequent item set analysis.

See what former trainees are saying about AlphaZetta courses.

Additional Information

Audience Expert
This course is suitable for anyone in management, administrative, product, marketing, finance, risk and IT roles who works with data and wants to become acquainted with modern data analysis tools.
Prerequisites Students should have completed or have equivalent knowledge to the courses Intro to Predictive Analytics, Machine Learning, Data Science and AI and Intro to Python for Data Analysis
Objective Attendees should, by the end of the course:

  • Learn fundamentals of predictive modelling and experience using a range of methods
  • Have improved their ability to assess the effectiveness and fitness for purpose of any predictive modelling tool or technique
  • Have experience with a range of unsupervised data techniques
  • Be exposed to Big Data and Cloud Computing applications
Format Class
Duration 2 days
Trainer Courses are taught by Dr Eugene Dubossarsky and/or his hand-picked team of highly skilled instructors.
Delivery Method In-person at AlphaZetta Academy locations or on-premise for corporate groups.

Meals and refreshments

Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.

Feedback

Use academy@alphazetta.ai to email us any questions about the course, including requests for more detail, or for specific content you would like to see covered, or queries regarding prerequisites and suitability.

If you would like to attend but for any reason cannot, please also let us know.

Variation

Course material may vary from advertised due to demands and learning pace of attendees. Additional material may be presented, along with or in place of advertised.

Cancellations and refunds

You can get a full refund if you cancel 7 days or more before the course starts. No refunds will be issued for cancellations made less than 7 days before the course starts.

Frequently asked questions (FAQ)

Do I need to bring my own computer?

There’s no need to bring your own laptop or PC. Our courses take place in modern, professional training facilities that have all the computing equipment you’ll need.

Private and Corporate Courses

In addition to our public courses, AlphaZetta Academy can provide this course for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.

Enquire Now

Scheduled Public Courses – BOOK NOW!

Private and Corporate Courses

In addition to our public courses, AlphaZetta Academy can provide this course for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.

Enquire Now

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Testimonials

James provided a testimonial on Eugene Dubossarsky's courses.

Eugene’s courses are not your standard technical courses where you learn how to put data into a model and get a result. The real life experiences – warts and all – he brings to the instruction mean that attendees walk away with a better understanding of the real life challenges of analytics as well as the technical know-how. We routinely send our team members on these courses to help them get the capabilities that really help our clients get better insights from their data.

James Beresford, Director, Agile BI

Eugene’s introductory course to data science was outstanding.

I found the subject matter and delivery fascinating, accessible and informative. I found Eugene approachable, interesting to listen to and excellent at simplifying complex concepts. I highly recommend this course for anyone who wants to know what data science—and all the buzz surrounding it!—are all about.

C.T. Johnson Director, Statecraft

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