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Artificial Intelligence Data Specialist
Access information to help you with your degree programme study, including reading lists and research guides.
Data Science Principles
Professional Practice
- VanderPlas, J., Python data science handbook
- Spinello, R.A. (2021) Cyberethics: morality and law in cyberspace
- Pears, R. and Shields, G.J. (2019) Cite them right: the essential referencing guide
- Habash, R.W.Y. (2019) Professional practice in engineering and computing: preparing for future careers
- Bassot, B. (2016) The reflective practice guide: an interdisciplinary approach to critical reflection
Programming for Artificial Intelligence
- McKinney, W. (2017) Python for data analysis: data wrangling with Pandas, NumPy, and IPython
- VanderPlas, J., Python data science handbook
- VanderPlas, J. (2016) A whirlwind tour of Python
- Pears, R. and Shields, G.J. (2019) Cite them right: the essential referencing guide
- Kelleher, J.D. and Tierney, B. (2018) Data science
- Sarkar, D. (2019) Text analytics with Python: a practitioner’s guide to natural language processing
- Deisenroth, M.P., Faisal, A.A. and Ong, C.S. (2020) Mathematics for machine learning
AI and Digital Innovation
- Marr, B. (2022) Business trends in practice: the 25+ trends that are redefining organizations
- Marr, B. (2020) The intelligence revolution: transforming your business with AI
- Schmarzo, B. and Borne, K. (2020) The Economics of Data, Analytics, and Digital Transformation
- IRB Media (2021) Summary of Brian Christian's The Alignment Problem
- Rothman, D. (2021) Transformers for Natural Language Processing
Disruptive Leadership and Sustainable Strategy
- Carruthers, C. and Jackson, P. (2019) Data-driven business transformation: how to disrupt, innovate, and stay ahead of the competition
- Schmarzo, B. and Borne, K. (2020) The Economics of Data, Analytics, and Digital Transformation
- Marr, B. (2022) Data strategy: how to profit from a world of big data, analytics and artificial intelligence
- Marr, B. (2022) Business trends in practice: the 25+ trends that are redefining organizations
Machine Learning using Cloud Computing
- Kapoor, A., Gullì, A. and Pal, S. (2022) Deep learning with TensorFlow and Keras*
- Kelleher, J.D. and Tierney, B. (2018) Data science
- Pears, R. and Shields, G.J. (2019) Cite them right: the essential referencing guide
- Hwang, K. (2017) Cloud computing for machine learning and cognitive applications
- Purkait, N. (2019) Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles
- Aggarwal, C.C. (2018) Neural networks and deep learning: a textbook
*Kortext link
Research and learning guides
Use the links below to access guides on research, studying, and writing to help you with your degree programme.
Research skills
Accessible learning
Information literacy
Literature mapping
Useful information and contact details
Book a 1:1 consultation
We offer help with finding and accessing online resources, good search practice, and referencing.