Computer Science and AI

Nelle righe seguenti cito alcune fra le opere che ho studiato recentemente.

 

Machine learning, AI, Data Science:

• VanderPlas, J. (2016). Python Data Science Handbook. https://www.oreilly.com/library/view/python-data-science/9781491912126/
  

Completed on Coursera:

• Deep Learning Specialization on Coursera:
  o Neural Networks and Deep Learning
  o Structuring Machine Learning Projects
  o Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  o Convolutional Neural Networks
• SQL for Data Science (University of California on Coursera. Certificate earned on January 14,
  2018)
• “Machine Learning” by Stanford University on Coursera. Certificate earned on July 24, 2017
• “Introduction to Complex Analysis” (Wesleyan University – Coursera). Certificate earned on May
  30, 2017

Architettura degli elaboratori

Structured Computer Organization – Andrew S. Tanenbaum, Todd Austin

 

• Paperback: 800 pages
• Publisher: Pearson Education; 6th edition edition
• Language: English

Temi trattati:

COMPUTER SYSTEMS
THE DIGITAL LOGIC LEVEL
THE MICROARCHITECTURE LEVEL
THE INSTRUCTION SET
THE OPERATING SYSTEM
THE ASSEMBLY LANGUAGE LEVEL
PARALLEL COMPUTER ARCHITECTURES

 

 

Java

Eck, D. J. (2019). Introduction to programming using Java, version 8.1. Hobart and William Smith Colleges. http://math.hws.edu/javanotes