“…Real Decreto 664/1997, de 12 de mayo, para la evaluación y prevención de los riesgos relacionados con la exposición a agentes biológicos…”

“…The world is full of plants and animals that have their own defenses, producing various substances in their daily fight against bacteria, fungi, or other agents. These products are alternatives to conventional antimicrobials that have a poor reputation with consumers. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Dedication -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Introducing Machine Learning and ML-Agents -- Machine Learning -- Training models -- A Machine Learning example -- ML uses in gaming -- ML-Agents -- Running a sample -- Setting the agent Brain -- Creating an environment -- Renaming the scripts -- Academy, Agent, and Brain -- Setting up the Academy -- Setting up the Agent -- Setting up the Brain -- Exercises -- Summary -- Chapter 2: The Bandit and Reinforcement Learning -- Reinforcement Learning -- Configuring the Agent -- Contextual bandits and state -- Building the contextual bandits -- Creating the ContextualDecision script -- Updating the Agent -- Exploration and exploitation -- Making decisions with SimpleDecision -- MDP and the Bellman equation -- Q-Learning and connected agents -- Looking at the Q-Learning ConnectedDecision script -- Exercises -- Summary -- Chapter 3: Deep Reinforcement Learning with Python -- Installing Python and tools -- Installation -- Mac/Linux installation -- Windows installation -- Docker installation -- GPU installation -- Testing the install -- ML-Agents external brains -- Running the environment -- Neural network foundations -- But what does it do? …”

Tabla de Contenidos: “…Cover; Title Page; Copyright; Preface; References; Chapter 1: A Brief Review of Supervised Learning; 1.1 Least Squares Estimates; 1.2 Recursive Least Squares; 1.3 Least Mean Squares; 1.4 Stochastic Approximation; References; Chapter 2: Single-Agent Reinforcement Learning; 2.1 Introduction; 2.2 n-Armed Bandit Problem; 2.3 The Learning Structure; 2.4 The Value Function; 2.5 The Optimal Value Functions; 2.6 Markov Decision Processes; 2.7 Learning Value Functions; 2.8 Policy Iteration; 2.9 Temporal Difference Learning; 2.10 TD Learning of the State-Action Function; 2.11 Q-Learning…”

“…Turn your Raspberry Pi into a secret agent toolbox with this set of exciting projects About This Book Turn your Raspberry Pi into a multi-purpose secret agent gadget for audio and video surveillance, Wi-Fi exploration, or playing pranks on your friends Detect an intruder on camera or with sensors and set off an alarm or receive messages to your phone Find out what the other computers on your network are up to and make yourself anonymous on the Internet This book has been updated for new additions to your toolkit featuring the tiny, recently released Raspberry Pi Zero board Who This Book Is For This book is for those who are new to the Raspberry Pi Zero ,Raspberry Pi 2 or Raspberry Pi 3 and have some experience with the original Raspberry Pi models, and even for those budding secret agents who would like to use Pi Zero as a secret agent toolbox. …”

Tabla de Contenidos: “…Chapter 1: Introduction -- Chapter 2: History of AI and Where We Are Today -- Chapter 3: The Future of AI and Ethical Implications -- Chapter 4: Dopamine for Machines -- Chapter 5: ML-Agents Setup -- Chapter 6: Unity ML-Agents -- Chapter 7: Creating Your First AI in Unity -- Chapter 8: Solve a Challenge with AI.…”