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Founded in 1831, NYU is a renowned global university in NYC with 17 schools & colleges offering over 230 undergraduate, graduate & professional programs.
Introductory overview of machine learning applications in finance, covering supervised learning methods and their use in predicting bank closures. Suitable for finance professionals, traders, and students.
Explore physiological systems through yoga, meditation, and mindfulness. Learn how these practices impact stress reduction, healing, and disease prevention. Gain insights from scientific studies on yoga's therapeutic benefits.
Gain practical skills in applying machine learning algorithms to financial problems using Python, covering supervised, unsupervised, and reinforcement learning techniques for real-world applications.
Explore reinforcement learning applications in finance, including option valuation, trading, and asset management. Gain practical skills through Q-learning examples and a market dynamics project.
Explore the intersection of climate change and human rights, covering key actors, cases, and emerging trends in this growing field led by NYU law professor César RodrÃguez-Garavito.
Explore advanced reinforcement learning methods in finance, covering option pricing, market impact, high-frequency trading, cryptocurrencies, and peer-to-peer lending. Gain insights into market equilibrium and predictability.
Learn about common cyber threats, attacks, and risk analysis methods. Explore real-world examples and fundamental security frameworks to enhance your understanding of cybersecurity concepts and practices.
Develop a deep understanding of modern information protection technology and methods, with industry insights to connect concepts to real-world business experiences.
Comprehensive exploration of machine learning and reinforcement learning applications in finance, covering core algorithms, practical problem-solving, and implementation for various financial scenarios.
Learn cyber defense fundamentals, authentication protocols, cryptography basics, and modern security techniques for robust protection against cyber threats.
Explore advanced cybersecurity topics for enterprise and infrastructure, including compliance, hybrid cloud, blockchain, IoT, mobility, and critical infrastructure protection. Gain practical insights for career planning.
Explore real-time cyber threat detection techniques, from basic TCP/IP security to advanced enterprise solutions. Learn to design firewalls, implement intrusion prevention, and address modern security challenges like APTs and DDoS attacks.
Explore performance across cultures, from everyday life to rituals and arts. Analyze key concepts, theories, and historical perspectives in this dynamic field pioneered by Richard Schechner.
Innovative framework for streamlining interventions across public health, education, and criminal justice. Learn to optimize components, maximize effectiveness within budget, and improve scalability using the multiphase optimization strategy (MOST).
Learn to streamline and optimize interventions using the multiphase optimization strategy (MOST). Explore efficient experimental designs to evaluate individual components and improve effectiveness within budget constraints.
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