Vivek Singh – författare
133 kr
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608 kr
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Public Health Surveillance (PHS) is of primary importance in this era of emerging health threats like ebola, MERS-CoV, influenza, natural and man-made disasters, and non-communicable diseases. Transforming Public Health Surveillance is a forward-looking, topical, and up-to-date overview of the issues and solutions facing PHS. It describes the realities of the gaps and impediments to efficient and effective PHS, while presenting a vision for its possibilities and promises in the 21st century. The book gives a roadmap to the goal of public health information being available, when it is needed and where it is needed. Led by Professor Scott McNabb, an international team of the top-notch public health experts from academia, government, and non-governmental organizations provides the most complete and current update on this core area of public health practice in a decade in 31 chapters. This includes the key roles PHS plays in achieving the global health security agenda and health equity. The authors provide a global perspective for students and professionals in public health. Five case studies aid the understanding of the context for the lessons of the book, and a comprehensive glossary, questions, bullet points, and learning objectives make this book an excellent tool for the classroom.
810 kr
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890 kr
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This book explores the concept of disability through a social, political, cultural, religious, and economics lens. It challenges the categorization of ‘physically-disabled’ produced by way of legal, medical, political, cultural, and literary narratives that comprise an exclusionary discourse.
The volume discusses themes like disability and identity politics; disability and the western epistemology; disability in India; disability and the Indian English fiction and Hindi cinema to question the embodied hegemony of ‘norms’ and their effects in the construction and history of societies. It analyses select literary and cinematic texts like Trying to Grow, Fireproof, and Animal’s People; and movies, Black and Lafangey Parindey to critically examine the representation of disabled people as freak, monstrous and animal. The book also makes policy recommendations for inclusive education and work norms for disabled people.
This book will be beneficial for scholars and researchers of disability studies, cultural studies, film studies, and English literature.
858 kr
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This book explores the concept of disability through a social, political, cultural, religious, and economics lens. It challenges the categorization of ‘physically-disabled’ produced by way of legal, medical, political, cultural, and literary narratives that comprise an exclusionary discourse.
The volume discusses themes like disability and identity politics; disability and the western epistemology; disability in India; disability and the Indian English fiction and Hindi cinema to question the embodied hegemony of ‘norms’ and their effects in the construction and history of societies. It analyses select literary and cinematic texts like Trying to Grow, Fireproof, and Animal’s People; and movies, Black and Lafangey Parindey to critically examine the representation of disabled people as freak, monstrous and animal. The book also makes policy recommendations for inclusive education and work norms for disabled people.
This book will be beneficial for scholars and researchers of disability studies, cultural studies, film studies, and English literature.
2 528 kr
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756 kr
Skickas inom 10-15 vardagar
693 kr
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Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance
Hands-On AI Trading with Python, QuantConnect, and AWS explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete code, allowing readers to understand and expand their AI toolbelt.
Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book''s GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks.
The book starts with an overview of financial trading and QuantConnect''s platform, organized by AI technology used:
Examples include constructing portfolios with regression models, predicting dividend yields, and safeguarding against market volatility using machine learning packages like SKLearn and MLFinLab. Use principal component analysis to reduce model features, identify pairs for trading, and run statistical arbitrage with packages like LightGBM. Predict market volatility regimes and allocate funds accordingly. Predict daily returns of tech stocks using classifiers. Forecast Forex pairs'' future prices using Support Vector Machines and wavelets. Predict trading day momentum or reversion risk using TensorFlow and temporal CNNs. Apply large language models (LLMs) for stock research analysis, including prompt engineering and building RAG applications. Perform sentiment analysis on real-time news feeds and train time-series forecasting models for portfolio optimization. Better Hedging by Reinforcement Learning and AI: Implement reinforcement learning models for hedging options and derivatives with PyTorch. AI for Risk Management and Optimization: Use corrective AI and conditional portfolio optimization techniques for risk management and capital allocation.Written by domain experts, including Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, and Jared Broad, this book is essential for hedge fund professionals, traders, asset managers, and finance students. Integrate AI into your next algorithmic trading strategy with Hands-On AI Trading with Python, QuantConnect, and AWS.
693 kr
Läs direkt efter köp
Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance
Hands-On AI Trading with Python, QuantConnect, and AWS explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete code, allowing readers to understand and expand their AI toolbelt.
Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book''s GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks.
The book starts with an overview of financial trading and QuantConnect''s platform, organized by AI technology used:
Examples include constructing portfolios with regression models, predicting dividend yields, and safeguarding against market volatility using machine learning packages like SKLearn and MLFinLab. Use principal component analysis to reduce model features, identify pairs for trading, and run statistical arbitrage with packages like LightGBM. Predict market volatility regimes and allocate funds accordingly. Predict daily returns of tech stocks using classifiers. Forecast Forex pairs'' future prices using Support Vector Machines and wavelets. Predict trading day momentum or reversion risk using TensorFlow and temporal CNNs. Apply large language models (LLMs) for stock research analysis, including prompt engineering and building RAG applications. Perform sentiment analysis on real-time news feeds and train time-series forecasting models for portfolio optimization. Better Hedging by Reinforcement Learning and AI: Implement reinforcement learning models for hedging options and derivatives with PyTorch. AI for Risk Management and Optimization: Use corrective AI and conditional portfolio optimization techniques for risk management and capital allocation.Written by domain experts, including Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, and Jared Broad, this book is essential for hedge fund professionals, traders, asset managers, and finance students. Integrate AI into your next algorithmic trading strategy with Hands-On AI Trading with Python, QuantConnect, and AWS.
410 kr
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331 kr
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298 kr
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298 kr
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331 kr
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232 kr
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1 231 kr
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637 kr
Kommande
319 kr
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288 kr
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665 kr
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Skickas inom 5-8 vardagar
514 kr
Skickas inom 5-8 vardagar
527 kr
Skickas inom 5-8 vardagar