Morris Traversal - Flatten a Binary Tree to Linked List - C++ Placement Series
Learn Morris Traversal and how to flatten a binary tree to a linked list in C++. Covers algorithms, approaches, and code implementation with dry runs for better understanding.
Design Special Stack Problem - C++ Placement Course
Learn to implement a special stack with O(1) time complexity for getMin() operation, exploring efficient approaches and optimized code for this challenging data structure problem.
The Hamiltonian Monte Carlo Revolution Is Open Source - Probabilistic Programming with PyMC3
Explore Bayesian statistical computation and Hamiltonian Monte Carlo algorithms using PyMC3, an open-source probabilistic programming package. Learn to apply these advanced techniques to complex models in Python.
Machine Learning for Continuous Integration - Andrea Frittoli & Kyra Wulffert - ODSC Europe 2019
Explore machine learning techniques for analyzing CI/CD pipeline data, extracting insights, and automating failure identification using open-source tools like TensorFlow and Pandas with real-life OpenStack community data.
Turing Lecture 2021 - Abstractions, Their Algorithms, and Their Compilers
Explore computational thinking through abstractions, algorithms, and compilers. Delve into compiler design, large dataset handling, and quantum computation, with insights from renowned computer scientists.
Patching as Translation: The Data and the Metaphor
Explore neural machine translation for code patching, examining data collection, task design, and architectural approaches to improve automated bug fixing in software development.
Introduction to Neural Networks in Python - Tensorflow-Keras
Learn neural network basics, architecture, hyperparameters, and implementation in Python using TensorFlow/Keras. Includes hands-on coding examples for various classification tasks, from simple to complex datasets.
YOLOv8 Object Detection - First Look Live Coding
Explore YOLOv8 for object detection in Python, from installation to implementation on images, webcams, and videos. Includes hands-on coding and practical demonstrations.
Face Detection with Python - Live Coding
Explore Python face detection models for age, race, emotion, and keypoints. Compare results and implement various techniques in this hands-on coding session.
Solving an Impossible Riddle with Code
Explore Python coding to simulate and solve the 100 prisoner riddle, comparing random and loop strategies through data visualization and network analysis.
Time Series Forecasting with XGBoost - Use Python and Machine Learning to Predict Energy Consumption
Learn to predict energy consumption using XGBoost and Python in this hands-on tutorial. Covers data preparation, feature engineering, model building, and forecasting techniques for time series analysis.
Video Data Processing with Python and OpenCV
Learn to process video data using Python and OpenCV, covering reading, writing, metadata extraction, image manipulation, and annotation. Gain essential skills for machine learning applications in computer vision.
Complete Guide to Cross Validation
Comprehensive guide to cross-validation in machine learning, covering setup, datasets, common pitfalls, train-test splits, and practical applications using scikit-learn in Python.
Solving Real World Data Science Problems With Python - Computer Vision Edition
Learn to build and improve convolutional neural networks for computer vision tasks using Python, TensorFlow, and Keras. Explore data augmentation, preprocessing, and network architecture optimization techniques.
C# Strings - C# Tutorial
Learn to manipulate and format strings efficiently in C#, covering topics from basic operations to advanced techniques like StringBuilder for optimal performance.
STL Vector - Relationship Between Static Array, Dynamic Array, and STL Vector With Examples
Explore STL vector's relationship with static and dynamic arrays, learning key characteristics, advantages, and practical applications through examples and comparisons.
Introduction to Multithreading in Modern C++
Learn modern C++ multithreading concepts and build your first multithreaded application. Covers basics to advanced topics, including thread creation, parameter passing, and potential issues.
Introduction to Linked Lists, Arrays vs Linked Lists, Advantages-Disadvantages - C++ Data Structures
Comprehensive introduction to linked lists in C++, covering implementation, advantages, and comparisons with arrays. Includes practical coding examples and functional applications.
An Overview of Arrays and Memory - Data Structures & Algorithms
Explore computer memory, RAM, and arrays in this overview. Learn how arrays work in C, understand memory vs storage, and discover practical applications of these fundamental concepts.
Data Structures and Algorithms - Advanced Java Programming Tutorial
Comprehensive Java tutorial covering advanced data structures, algorithms, and practical applications. Includes hands-on projects like web browser and messenger app development.
How to Implement Autoencoders in Python and Keras - The Decoder
Learn to implement the decoder component of autoencoders using Python, TensorFlow, and Keras. Covers building methods, layers, and architecture for generating sound with neural networks.