This training course is for people that would like to apply basic Machine Learning techniques in practical applications.
DurationOverview
This training course is for people that would like to apply basic Machine Learning techniques in practical applications.
Audience
Data scientists and statisticians that have some familiarity with machine learning and know how to program R. The emphasis of this course is on the practical aspects of data/model preparation, execution, post hoc analysis and visualization. The purpose is to give a practical introduction to machine learning to participants interested in applying the methods at work
Sector specific examples are used to make the training relevant to the audience.
Course Outline
Naive Bayes
Multinomial models
Bayesian categorical data analysis
Discriminant analysis
Linear regression
Logistic regression
GLM
EM Algorithm
Mixed Models
Additive Models
Classification
KNN
Ridge regression
Clustering
NobleProg is an international training and consultancy group, delivering high quality courses to every sector, covering: Cyber Security, Artificial Intelligence, IT, Management, Applied Statistics.
Over the last 17 years, we have trained more than 50,000 people from over 6000 companies and organisations.
Our courses include classroom (both public and closed) and instructor-led online giving you choice and flexibility to suit your time, budget and level of expertise.
We practice what we preach – we use a great deal of the technologies and methods that we teach, and continuously upgrade and improve our courses, keeping up to date with all the latest developments.
Our trainers are hand picked and have been through rigorous checks and interviews, and all courses are evaluated by delegates ensuring continuous feedback and improvement.
This course covers an introduction to machine learning, helping candidates to acquire the essential knowledge and skills needed to understand and apply different machine learning techniques.
TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. This instructor-led, live training (online or onsite) is aimed at data scientists who wish to go from training a single ML model to deploying many ML models to production.
This course explores a collaborative project between the UTS Data Science Institute and Sydney Trains. The objective of the project was to develop a timetable robustness evaluation model using analytical/statistical methods, or machine learning techniques.
This course provides the latest concepts, tools and techniques to build and influence the development of a successful data science and machine learning capability. Delivered through an interactive approach utilising the latest tools, participants of this course are exposed to basic techniques
Perform Cloud Data Science with Azure Machine Learning course is offered by Wardy IT Solutions. As a Microsoft Partner we’ve been awarded with the Silver Learning competency. Every training session we run is taught by a Microsoft Certified Trainer.
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