
Discover essential tools for successful trading: myth-busting, poker face, probability mindset, clarity, focus, and realistic expectations in this insightful TEDx talk.

Explore real-world attacks on ML systems, from recommendation engines to email filters, and learn practical defense strategies against adversarial machine learning threats.

Explore concurrency and parallel computing in JavaScript, covering actors, futures, and throughput computing in browsers. Learn techniques for leveraging modern parallel hardware in web development.

Explore JVM concurrency options, from Java's ExecutorService to Scala's akka actors and Clojure's core.async. Learn design strategies for deadlock-free, efficient concurrent applications.

Explore C++'s parallel programming models: unstructured, task-based, and data parallel. Learn key facilities, use cases, and recent features for efficient parallel programming in modern C++.

Explore SRE principles in high-frequency trading, balancing innovation with risk management. Learn strategies for safeguarding nanosecond performance in a regulated, failure-prone environment at scale.

Learn to build scalable trading apps with Rails, managing complex APIs, TCP protocols, and RPC for high-frequency transactions with the New York Stock Exchange.

Discover mindsets of successful traders for achieving success and happiness in life. Gain valuable insights from Alpesh Patel's experiences in finance, media, and government.

Explore reactive machine learning techniques for building scalable, responsive AI systems using JVM languages and beyond, with real-world examples and cartoon animal guides.

Discover the secrets of successful stock market trading and investing from a seasoned expert with 15 years of experience. Learn strategies to become an independent trader and investor.

Explore state-of-the-art deep learning techniques through code demos using Apache MXNet and Keras, covering CNN, GAN, and LSTM architectures for advanced AI applications.

Explore high-frequency trading strategies for decentralized on-chain exchanges, examining their unique challenges and opportunities in the rapidly evolving blockchain ecosystem.

Explore advanced threading techniques in Python, inspired by asyncio, Go, and Node, for improved control flow and performance in concurrent programming.

Explore statistical approaches for detecting and measuring platform-level latency regressions in serverless environments, focusing on customer-centric performance metrics beyond traditional SLOs.

Explore coroutine-based concurrency in Python 3, from building a simple framework to using async/await and asyncio. Learn practical applications and abstractions for efficient, easy-to-debug concurrent programming.

Explore high-level abstractions for concurrent programming, avoiding common traps with locks and atomics. Learn strategies to prevent and detect race conditions in C++ development.

Explore advanced C++ techniques for optimizing low-latency trading systems using templated meta-state machines in high-frequency trading environments.

Explore electronic trading for C++ developers, covering market dynamics, low-latency strategies, and optimized programming techniques for high-frequency trading systems.

Explore Unix socket concepts for composing concurrent operations in C++. Learn to apply select/poll mechanisms to various concurrency problems and discover C++ solutions for multi-future and coroutine scenarios.

Explore techniques for achieving ultra-low latency in C++ programming, focusing on high-frequency trading and market data processing. Learn optimization strategies and pitfalls to avoid.

Explore C++11's high-level threading capabilities, including locks, mutexes, and futures. Learn to solve common threadsafe programming challenges using these components.