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Library Resources for IN404

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Library Resources for IN404
Required Readings

Primary Books

Alpaydin, E. (2016). Machine learning : The new AI. The MIT Press.
Andress, J., & Winterfeld, S. (2014). Cyber warfare : Techniques, tactics and tools for security practitioners: Vol. Second edition. Syngress.
Bonaccorso, G. (2018). Machine learning algorithms: Popular algorithms for data science and machine learning (2nd ed.). Packt Publishing.
Bonaccorso, G. (2020). Mastering machine learning algorithms: Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work (2nd ed.). Packt Publishing.
Chin, L., & Dutta, T. (2016). NumPy essentials. Packt Publishing.
Joshi, P., Hearty, J., Sjardin, B., Massaron, L., & Boschetti, A. (2016). Python: Real world machine learning. Packt Publishing.
Kumar, A. (2019). Mastering Pandas: A complete guide to Pandas, from installation to advanced data analysis techniques (2nd ed.). Packt Publishing.
McGreggor, D. M. (2015). Mastering Matplotlib. Packt Publishing.
Ozdemir, S. (2016). Principles of data science. Packt Publishing.
Rehim, R. (2016). Effective Python penetration testing. Packt Publishing.

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