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ITICT206A Machine learning
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Network security: ITICT206A Machine learning
This LibGuide supports the Bachelor of Information Technology (Network security).
Welcome
On the shelves
eResources
A-Z databases
Web resources
Research help
Level 100 readings
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ITICT102A Introduction to programming
ITICT103A Internetworking 1
ITICT104A Internetworking 2
ITICT107A Introduction to databases
ITICT108 A Introduction to cyber security
ITPRD101A Critical thinking for the IT professional
ITPRD102A Communication for the IT professional
Basic maths for computer science
Level 200 readings
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ITDAT201A Advanced data analysis
ITDAT202A Data infrastructure engineering
ITDAT203A Introduction to data analysis
ITICT201A Advanced internetworking 1
ITICT202A Wireless networks
ITICT203A Advanced internetworking 2
ITICT204A World Wide Web programming
ITICT205A Virtualisation
ITICT206A Machine learning
ITICT207A Fundamentals of computer science
ITICT208A Advanced internetworking
ITNET202A Enterprise security
ITNET203A Network security
ITNET204A Introduction to Cryptography
ITNET205A Network automation
ITPRD202A Professional issues in IT
ITPRD203A Knowledge management
ITPRD205A Project management
Level 300 readings
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ITDAT301A Big data & advanced database concepts
ITDAT302A Data mining and visualisation
ITDAT303A Data and network security
ITDAT304A Emerging trends in data technology
ITICT302A Secure programming
ITICT303A Distributed computing
ITNET301A Mobile computing and security
ITNET302A Advanced network security 1
ITNET304A Advanced network security 2
ITNET305A Emerging technologies security
ITNET307A National data infrastructure security
ITNET309A Computer and network forensics
ITNET310A Software defined programmable networks
ITNET311A Major group project
ITNET312A Major individual project
Prescribed eBook
Machine learning with Python cookbook (2018) - eBook
by
Chris Albon
Recommended readings
Data mining: practical machine learning tools and techniques (2017) - eBook
An introduction to statistical learning: with applications in R (2013) - eBook
Machine learning : the art and science of algorithms that make sense of data (2012) - Book
Machine learning with R : expert techniques for predictive modeling (2019) - eBook
Machine learning: an algorithmic perspective (2014) - eBook
Recommended eJournals and web resources
eJournals
Foundations and trends in machine learning
Discrete applied mathematics
Discrete mathematics
International journal of machine learning and computing
Journal of machine learning research
Web resources
Australian Mathematical Science Institute (AMSI)
Center for Machine Learning and Intelligent Systems
Centre for Discrete Mathematics and Computing
Institute of Mathematical Statistics (IMS)
Machine Learning Department (ML)
Centre for Discrete Mathematics and Theoretical Computer Science (DIMACS)
Weekly readings
Albon, C 2018,
Machine learning with Python cookbook
,
eBook, viewed 1 October 2021, O'Reilly eBooks and videos
Week 1 - Chapter 1 Vectors, matrices, and arrays
Week 1 - Chapter 2 Loading data
Week 2 - Chapter 3 Data wrangling
Week 2 - Chapter 4 Handling numerical data
Week 3 - Chapter 5 Handling categorical data
Week 3 - Chapter 6 Handling text
Week 4 - Chapter 7 Handling dates and times
Week 4 - Chapter 8 Handling images
Week 5 - Chapter 9 Dimensionality reduction using feature extraction
Week 5 - Chapter 10 Dimensionality reduction using feature selection
Week 6 - Chapter 11 Model evaluation
Week 6 - Chapter 12 Model selection
Week 7 - Chapter 13 Linear regression
Week 7 - Chapter 14 Trees and forests
Week 8 - Chapter 15 K-nearest neighbors
Week 8 - Chapter 16 Logistic regression
Week 9 - Chapter 17 Support vector machines
Week 9 - Chapter 18 Naive bayes
Week 10 - Chapter 19 Clustering
Week 11 - Chapter 20 Neural networks
Week 11 - Chapter 21 Saving and loading trained models
Suggested eBooks
Hands-on Scikit-Learn for machine learning applications (2020)
Machine learning in the oil and gas industry (2020)
Machine learning using R (2019)
Mastering machine learning with R (2019)
Principles of data mining (2020)
Python for data mining quick syntax reference (2018)
Statistical learning with math and R (2020)
Encyclopedia of machine learning and data mining (2017)
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