PacktPub – Rust Programming Master Class From Beginner To Expert [Video] [FCO]
You will progress through this course from basic to expert level. This course is created from the viewpoint of a student who is new to Rust and does not have any prior understanding of it. We cover a wide range of knowledge and skills in this extensive course, including the fundamentals of Rust programming syntax; primitive and non-primitive types; common Rust collectors; Enums; traits and structures; generics, lifetimes, and closures; the Rust module system; learning how to use external crates; and publishing crates.
By the end of this course, you will have mastered Rust programming to the point where you can code with confidence and professionalism.
All the resources are available at: https://github.com/PacktPublishing/Rust-Programming-Master-Class-from-Beginner-to-Expert
Dr. Nouman Azam, is an assistant professor at the Department of Computer Science, National University of Computer and Emerging Sciences. He has over a decade of experience in research and teaching. His research work is mainly on the exploration of machine learning techniques in application areas such as bioinformatics, text summarization, text categorization, email filtering, security, recommender systems, and medical decision making.
On the theoretical side, he is interested in applying the theories of rough sets, game theory, optimization, and conflict analysis to machine learning tasks. For his asters thesis, he applied different machine learning techniques to select important features in spam email filtering. For his doctoral thesis, he investigated the applications of machine learning techniques such as rough sets, game theory, genetic algorithms, gradient descent, and others to learn and extract data patterns.
In the recent past, he has taught many fine learning-related courses at the undergraduate and graduate levels. MATLAB remains his number one choice for implementing ideas and converting code to meaningful software.
Author: Dr.Nouman Azam
Released: July 2022
Duration: 13 hours 4 minutes