Python Programming Tutorials
Our Python Tutorials will help you learn Python quickly and thoroughly. We start with "Hello World" and then move on to data structures (sets, lists, tuples and dictionaries). Next we'll cover classes, and give a variety of in-depth examples and applic…
Data Structures Tutorial Videos
Comprehensive video series covering fundamental data structures and algorithms, including stacks, linked lists, queues, trees, and sorting techniques, with practical implementations in C and Java.
Build a 65C02-Based Computer From Scratch
Learn to build a functional 65c02-based computer from the ground up, covering hardware assembly, machine code, assembly language, and essential computer architecture concepts.
High Throughput Sequencing
Comprehensive playlist covering high-throughput sequencing analysis, including RNA-seq, ChIP-Seq, PCA, clustering, and statistical methods for bioinformatics and genomics research.
C++ Programming Language
Comprehensive C++ programming tutorial covering object-oriented concepts, advanced features, and practical applications. Learn from basics to complex topics with hands-on examples.
Artificial Intelligence Planning
Explore AI planning techniques, algorithms, and applications in robotics, space, games, and medicine. Learn about search strategies, heuristics, and practical planning systems.
Computer Organization and Architecture
Comprehensive exploration of computer architecture, covering organization, instruction sets, addressing modes, memory hierarchy, cache mapping, pipelining, and I/O interfaces for GATE and UGC NTA NET preparation.
Machine Learning Course
Comprehensive exploration of machine learning fundamentals, covering linear models, neural networks, SVMs, and key principles for effective algorithm implementation and evaluation.
Python for Beginners
Learn Python fundamentals, from basic syntax to advanced concepts like APIs and decorators, through hands-on demos and practical examples.
Solving the Mystery of the H.L. Hunley - Historical Medical Investigation
Uncover the mystery of the H.L. Hunley, the first combat submarine to sink a warship, through modern engineering and medical assessments of blast propagation and physiological effects.
Pioneering the Science of Information - IBM's Role in Shaping Information Technology
Explore IBM's role in shaping information science, future technologies, and their applications in resource management, disaster response, and computational life sciences.
Can You Trust a Computer Algorithm - How and Why
Experts discuss algorithmic trustworthiness, exploring AI benefits, challenges, ethical data management, and regulatory oversight for reliable outcomes in an era of increasing AI reliance.
Digital Wellbeing and Online Learning in Education - Graduate Information Session
Explore strategies for positive digital citizenship, managing online interactions, and integrating digital resources in education. Gain insights on digital wellbeing and addressing challenges in online learning.
The New DBification of ML-AI
Explore the intersection of ML/AI and databases, addressing scalability and usability challenges in ML systems through database principles and techniques.
Getting Robust - Securing Neural Networks Against Adversarial Attacks
Explore adversarial attacks on machine learning, their impact, and defense strategies. Learn to incorporate adversarial considerations in research and development for more robust AI systems.
Tractable Novelty Exploration Over Continuous and Discrete Sequential Decision Problems
Explore cutting-edge width-based planning algorithms for sequential decision problems, covering continuous dynamics, polynomial approximations of novelty, and comparisons with deep reinforcement learning.
Proving Confidentiality and Its Preservation for Mixed-Sensitivity Concurrent Programs
Explore techniques for proving confidentiality in mixed-sensitivity concurrent programs and its preservation during compilation, using the Cross Domain Desktop Compositor as a case study. Discusses ongoing research on OS-level confidentiality assurance.
Computer Science and IT at the University of Melbourne - Faculty of Engineering and IT Overview
Explore computer science and IT programs at Melbourne, covering graduate courses, career prospects, and admission details for aspiring tech professionals.
Spring Security Basics
Learn essential Spring Security concepts, authentication methods, and authorization techniques for securing Java applications.
Software - Mathematica, MATLAB, Aspen Plus
Learn to use Mathematica, MATLAB, and Aspen Plus for engineering computing through comprehensive screencasts covering interactive simulations, data analysis, programming, and chemical process modeling.
Deep Learning Basics with Python, TensorFlow and Keras
Master deep learning fundamentals using Python, TensorFlow, and Keras. Explore CNNs, RNNs, data loading, model analysis, optimization, and practical applications in cryptocurrency prediction.