Tabla de Contenidos: “…-- Open questions and practical challenges -- Open questions -- Practical challenges for robotic reinforcement learning -- Key takeaways -- Summary -- Chapter 12: Deep Reinforcement Learning in Ad Tech -- Computational advertising challenges and bidding strategies -- Business models used in advertising -- Sponsored-search advertisements -- Search-advertisement management -- Adwords -- Bidding strategies of advertisers -- Real-time bidding by reinforcement learning in display advertising -- Summary -- Chapter 13: Reinforcement Learning in Image Processing -- Hierarchical object detection with deep reinforcement learning -- Related works -- Region-based convolution neural networks -- Spatial pyramid pooling networks -- Fast R-CNN -- Faster R-CNN -- You Look Only Once -- Single Shot Detector -- Hierarchical object detection model -- State -- Actions -- Reward -- Model and training -- Training specifics -- Summary -- Chapter 14: Deep Reinforcement Learning in NLP -- Text summarization -- Deep reinforced model for Abstractive Summarization -- Neural intra-attention model -- Intra-temporal attention on input sequence while decoding -- Intra-decoder attention -- Token generation and pointer -- Hybrid learning objective -- Supervised learning with teacher forcing -- Policy learning -- Mixed training objective function -- Text question answering -- Mixed objective and deep residual coattention for Question Answering -- Deep residual coattention encoder -- Mixed objective using self-critical policy learning -- Summary -- Appendix : Further topics in Reinforcement Learning…”

“…Learn the techniques and math you need to start making sense of your data About This Book Enhance your knowledge of coding with data science theory for practical insight into data science and analysis More than just a math class, learn how to perform real-world data science tasks with R and Python Create actionable insights and transform raw data into tangible value Who This Book Is For You should be fairly well acquainted with basic algebra and should feel comfortable reading snippets of R/Python as well as pseudo code. …”

Tabla de Contenidos: “…5.6 Appendix B: Risks Embedded with Some Classical Alternative Strategies 5.6.1 Pure Short Selling; 5.6.2 Long/Short Equity; 5.6.3 Convertible Arbitrage; 5.6.4 Fixed Income Arbitrage; 5.6.5 Risk Arbitrage; 5.7 Appendix C: Other Common Hedge Funds Risks; 5.7.1 Leverage Risk; 5.7.2 Liquidity Risk; 5.7.3 Counter-Party Risk; 5.7.4 Specific Event Risk; PART II STYLE VALUE-AT-RISK; 6 The Original Style VaR Revisited; 6.1 The Multi-Index Model; 6.1.1 The Sharpe (1988) Model; 6.1.2 Application to Hedge Funds; 6.1.3 Hedge Funds Indices as Risk Factors; 6.2 The Style Value-at-Risk…”

“…Optical Fiber Telecommunications VI (A&B) is the sixth in a series that has chronicled the progress in the R&D of lightwave communications since the early 1970's. …”

Tabla de Contenidos: “…. -- Cognitive Technology: Tools R Us? -- The Extended Mind. -- The Turing Test. -- Part II: What distributed cognition is -- Wide-Body Beings. -- Mental states are conscious states -- Are unconscious brain states mental? …”

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