Hands-on with Rust: Async and Await - Rawkode Live
Dive into Rust's async/await features with hands-on examples, exploring future spawning, joining, creation, and building a custom executor for advanced concurrency programming.
The History of Gamma Trading in DeFi
Dive into the evolution and fundamentals of Gamma trading within decentralized finance, exploring key concepts and strategies from an industry expert at Predy Finance.
Challenges of Building On-Chain Option AMMs - Part 1
Dive into the technical complexities and architectural challenges of implementing automated market makers (AMMs) for on-chain options with insights from Rysk Finance's development experience.
Revolutionizing Options Trading on zkSync - DeFi Options with Highest Capital Efficiency
Explore revolutionary DeFi options trading strategies on zkSync, focusing on maximizing capital efficiency and transforming traditional trading approaches.
Asynchronous Programming in Dyalog APL - Part 3b: Futures - 2022 Conference Edition
Explore asynchronous programming in Dyalog APL, focusing on futures, ⎕AWAIT, and practical demonstrations for web downloads, GUI applications, and algorithm optimization.
Future(s) - Asynchronous Programming in Dyalog - Part 3a
Explore asynchronous programming in Dyalog, including green threads, .NET tasks, and futures. Learn about unifying I-beam functions and see demonstrations using N-queens and wait functions.
Pipelines and Beyond: Graph Types for ADTs with Futures
Explore a novel graph type system enabling arbitrary combinations of futures and recursive data types in parallel programming, enhancing pipelining and performance optimization techniques.
Disentanglement with Futures, State, and Interaction
Explore disentanglement in parallel programs with futures, examining its extension beyond fork/join parallelism and implications for functional, stateful, and non-deterministic code.
Custom Indicators for Reinforcement Learning Trading Tutorial - GME Python Trading PT2
Learn to create custom financial indicators for Python Reinforcement Learning trading bots. Calculate RSI, SMA, and OBV, integrate them into a trading environment, and train an RL model for improved stock trading performance.
Reinforcement Learning for Trading Tutorial - GME RL Python Trading
Learn to build a Python trading bot using reinforcement learning, focusing on Gamestop stock data. Covers environment setup, data loading, agent training, and performance evaluation.
Neural Networks Part 7 - Cross Entropy Derivatives and Backpropagation
Detailed guide on calculating cross entropy derivatives and applying them in neural network backpropagation, with step-by-step explanations and practical examples.
Training a Neural Network - Implementing Backpropagation and Gradient Descent from Scratch
Implement backpropagation and gradient descent from scratch in Python, training a neural network to perform arithmetic sum. Includes step-by-step coding and explanations.
Humans & AI in Financial Services - The Future - Samik Chandarana - ODSC Europe 2019
Explore the future of AI in finance with Samik Chandarana's keynote, covering data-driven decisions, deep neural nets, and AI applications in trading, payments, and natural language processing.
Explained Gradient Descent Optimizer
Comprehensive explanation of gradient descent optimization, covering mathematical foundations, weight updates, and backpropagation for machine learning and deep learning applications.
Swap Abstraction in Linux Memory Management
Explore the concept of swap abstraction in Linux systems, understanding its implementation, benefits, and impact on memory management and system performance.
Large Folios, Swap and Fscache in Linux
Explore advancements in Linux memory management with insights on large folios, swap mechanisms, and fscache optimizations for improved system performance.
The Most Important Algorithm in Machine Learning - Backpropagation Explained
Explore backpropagation's fundamentals, from curve fitting to gradient descent, chain rule, and computational graphs. Gain insights into this crucial machine learning algorithm's principles and applications.
Unleashing the GenAI Magic - Building a Chatbot for Traders with Generative AI
Explore the creation of a trader-focused chatbot using Generative AI, covering prompt engineering, Retrieval Augmented Generation, and unconventional tech choices for robust, scalable solutions.
mTHP Swap-Out and Swap-In - Lecture
Explore mTHP swap-out and swap-in techniques for optimizing memory management in Linux systems.
A Tale of Two Asyncs - Open Source Language Design in Rust and Node.js
Explore asynchronous programming in Rust and Node.js, comparing language design approaches, technical constraints, and governance models to understand open source language evolution.
Uninvited Guests - Understanding Malicious Web Bots with OWASP Handbook
Explore malicious web bots and automated threats using OWASP's Handbook. Learn about scalping, scraping, and sniping, with real-world examples and countermeasures for better online security.