Tabla de Contenidos: “…Emerging technologies - ancillary and related tech -- Explainability - optimizing for ethics, caveats, and responsibility -- Accuracy - optimizing for success -- Summary -- References -- Chapter 4: Commercializing AI Products -- The professionals - examples of B2B products done right -- The artists - examples of B2C products done right -- The pioneers - examples of blue ocean products -- The rebels - examples of red ocean products -- The GOAT - examples of differentiated disruptive and dominant strategy products -- The dominant strategy -- The disruptive strategy -- The differentiated strategy -- Summary -- References -- Chapter 5: AI Transformation and Its Impact on Product Management -- Money and value - how AI could revolutionize our economic systems -- Goods and services - growth in commercial MVPs -- Government and autonomy - how AI will shape our borders and freedom -- Sickness and health - the benefits of AI and nanotech across healthcare -- Basic needs - AI for Good -- Summary -- Additional resources -- References -- Part 2 - Building an AI-Native Product -- Chapter 6: Understanding the AI-Native Product -- Stages of AI product development -- Phase 1 - Ideation -- Phase 2 - Data management -- Phase 3 - Research and development -- Phase 4 - Deployment -- AI/ML product dream team -- AI PM -- AI/ML/data strategists -- Data engineer -- Data analyst -- Data scientist -- ML engineer -- Frontend/backend/full stack engineers -- UX designers/researchers -- Customer success -- Marketing/sales/go-to-market team -- Investing in your tech stack -- Productizing AI-powered outputs - how AI product management is different -- AI customization -- Selling AI - product management as a higher octave of sales -- Summary -- References -- Chapter 7: Productizing the ML Service -- Understanding the differences between AI and traditional software products…”

“…Hundreds of scientists, professionals, and students have gathered to discuss, analyse, and express their opinions about the current issues today. …”

Tabla de Contenidos: “…Presenting your work to other data scientists -- 12.3.1. Introducing the problem -- 12.3.2. …”

Tabla de Contenidos: “…Cover -- Contents -- Preface -- About the Authors -- Chapter 1: Approaches, Methods and Models of Political Study and Analysis -- Introduction -- Analysis of Traditional Studies -- Analysis of Recent Studies -- Approaches and Methods -- Traditional Approaches and Methods -- Philosophical Approach -- Historical-Analytical Approach -- Legal-Institutional Approach -- Descriptive-Taxonomic Approach -- Contemporary Approaches and Methods -- Behavioural Approach -- The 'Intellectual Foundation Stones' of Behaviouralism: David Easton -- Regularity -- Verification -- Techniques -- Quantification -- Values -- Systematization -- Pure science -- Integration -- Traditionalist Critique of Behaviouralist Assumptions -- Achievements of the Behavioural Approach -- Subjective awareness -- Focus on both formal institutions and informal political processes -- Inter-disciplinary approach -- Revolt against traditional methods of political science -- Search for stable units of analysis -- Revolution in methods and techniques of political enquiry -- Elements of Behavioural Analysis in Kautilya, Machiavelli and Hobbes -- Post-behaviouralism -- 'Credo of Relevance': David Easton55 -- Substance over technique -- Change orientation -- Relevant research -- Value-laden research -- Political scientist as critical intellectual -- Action-oriented research -- Politicization of the profession -- Post-behaviouralism: Revolt or Continuity? …”

Tabla de Contenidos: “…Missing It -- Wag the Dog -- The Ethnographic Examples -- Muddying the Waters: The Case of Cassandra -- Missing It: The Case of SSgt Michaels -- Wag the Dog: The Case of Fedor the Troll -- Conclusion -- References -- Chapter 10 Using Neuroimaging to Predict Behavior: An Overview with a Focus on the Moderating Role of Sociocultural Context -- Introduction -- The Brain‐as‐Predictor Approach -- Predicting Individual Behaviors -- Interpreting Associations Between Brain Activation and Behavior -- Predicting Aggregate Out‐of‐Sample Group Outcomes -- Predicting Social Interactions and Peer Influence -- Sociocultural Context -- Future Directions -- Conclusion -- References -- Chapter 11 Social Models from Non-Human Systems -- Emergent Patterns in Groups of Behaviorally Flexible Individuals -- From Bird Motivations to Human Applications -- Game‐Theoretic Model of Frequency‐Dependent Tactic Choice -- Mathematical Model as Behavioral Microscope on Carefully Prepared Birds -- Transferable Insights from Behavioral Games to Human Groups -- Model Systems for Understanding Group Competition -- Social Spiders as Model Systems for Understanding Personality in Groups -- Ants as Model Systems for Understanding the Costs and Benefits of Specialization -- Personality and Specialization: From Nonhuman to Human Groups -- Information Dynamics in Tightly Integrated Groups -- Linear and Nonlinear Recruitment Dynamics -- Herd Behavior and Information Cascades in Ants -- From Ants to Human Decision Support Systems -- Additional Examples: Rationality and Memory -- Conclusions -- Acknowledgments -- References -- Chapter 12 Moving Social‐Behavioral Modeling Forward: Insights from Social Scientists -- Why Do People Do What They Do? -- Everything Old Is New Again -- Behavior Is Social, Not Just Complex -- What is at Stake? …”

Tabla de Contenidos: “…. -- POLICY DECISION CRITERIA HAVE BEEN PROPOSED -- THE EMPIRICAL CUPBOARD IS NOT BARE -- FURTHER COMMENTS ON THE MAINSTREAM ECONOMICS APPROACH -- References -- PART 6 HOW IS BIODIVERSITY MONITORED AND PROTECTED -- Chapter 26 Monitoring Biological Diversity for Setting Priorities in Conservation -- THE GAP ANALYSIS CONCEPT -- AN UNDERLYING CONCEPT -- References -- Chapter 27 Information Management for the Conservation of Biodiversity -- NATURAL HERITAGE DATA CENTERS -- NETWORKING AND CENTRAL DATA BASES -- APPLICATIONS OF THE DATA -- INTERACTIONS WITH SCIENTISTS AND THE PUBLIC -- References -- Chapter 28 Identifying and Protecting the Origins of Our Food Plants -- THE INTERNATIONAL BOARD FOR PLANT GENETIC RESOURCES PROGRAM -- CROP ORIGINS AND GERMPLASM USE -- EVALUATION OF THE RESOURCES -- SCIENTIFIC SUPPORT FOR GENETIC RESOURCES WORK -- EX SITU AND IN SITU PRESERVATION -- References -- Chapter 29 Conserving and Monitoring Biotic Diversity Some African Examples -- BIOGEOGRAPHIC SETTING -- PATTERNS OF SPECIES RICHNESS AND ENDEMISM -- APPROACHES TO THE CONSERVATION OF BIOTIC DIVERSITY IN AFRICA -- BIOTIC CLASSIFICATION SYSTEMS -- ASSESSING THE ADEQUACY OF CURRENT PROTECTED AREA COVER -- IDENTIFYING GAPS IN THE NETWORK -- MONITORING THE SYSTEM -- LESSONS LEARNED -- References -- PART 7 SCIENCE AND TECHNOLOGY: HOW CAN THEY HELP -- Chapter 30 Can Technology Aid Species Preservation? …”

Tabla de Contenidos: “…The National Academy of Sciences -- Copyright -- Foreword -- Contents -- 1 The Academy's Antecedents -- The European Academies and the Royal Society -- The American Philosophical Society -- The American Academy of Arts and Sciences -- The College of Physicians of Philadelphia -- Concern for a National University -- The Columbian Institute -- The National Institute -- 2 Scientists and Scientific Organizations in Mid-Century America -- The Smithson Bequest -- Bache and Henry -- The Program of the Smithsonian -- Growth and Spread of Scientific Societies -- Louis Agassiz and His Influence on American Science -- The American Association for the Advancement of Science -- 3 The Incorporation and Organization of the Academy -- The Lazzaroni" and Their Influence -- The Outbreak of the Civil War -- The Permanent Commission -- The Drafting of the Academy Bill -- Reaction to the New Academy -- The Organization Meeting -- 4 The Government Calls upon the Academy -- ALEXANDER DALLAS BACHE (1863-1867) -- Early Problems and Activities -- The Illness and Death of Bache -- 5 Postbellum Years and the Crisis within the Academy -- JOSEPH HENRY (1868-1878) -- Crisis within the Academy -- The Hall Expedition to the Arctic -- Dearth of Government Requests -- The Philosophical Society and the Cosmos Club -- The Committee on Weights and Measures -- Removal of Restriction on Membership -- The Silliman-Whitney Controversy -- The Centennial Observance -- Illness and Death of Henry -- Establishment of the U.S. …”

Tabla de Contenidos: “…Overfitting - when your model is too specific -- Underfitting - when your model is too simplistic -- Spotting the problem -- Conclusion -- Training-serving skew and model drift -- Training-serving skew -- Model drift -- Key takeaways -- Bias and fairness -- Understanding bias -- Understanding fairness -- Mitigating bias and ensuring fairness -- Key takeaways -- Summary -- Part 3: Leading Successful Data Science Projects and Teams -- The Structure of a Data Science Project -- The various types of data science projects -- Data products -- Reports and analytics -- Research and methodology -- The stages of a data product -- Identifying use cases -- Evaluating use cases -- Planning the data product -- Developing a data product -- Data preparation and exploratory analysis -- Model design and development -- Evaluation and testing -- Deploying and monitoring a data product -- General best practices for data product development -- Evaluating impact -- Predictive maintenance in manufacturing -- Fraud detection in banking -- Customer churn prediction in telecom -- Demand forecasting in retail -- Personalized recommendations in e-commerce -- Predictive maintenance in energy -- Workforce optimization in quick service restaurants -- Chatbot-assisted customer support -- Summary -- The Data Science Team -- Assembling your data science team - key roles and considerations -- Data scientists -- Machine learning engineers -- Data engineers -- MLOps engineers -- Analytics engineers -- Software engineers (full stack, frontend, backend) -- Product managers -- Business analysts -- Data storytellers/visualization experts -- Considerations when assembling your team -- Data science teams within larger organizations -- The hub and spoke model -- What is the hub and spoke model? …”

Tabla de Contenidos: “…Front Cover -- Title Page -- Copyright Page -- About the Authors -- Preface -- Organization and New Content -- Featured Figures -- Acknowledgments -- Brief Contents -- Detailed Contents -- Introduction: Evolution and the Foundations of Biology -- Overview Inquiring About Life -- Concept 1.1 The study of life reveals unifying themes -- Theme: New Properties Emerge at Successive Levels of Biological Organization -- Theme: Life's Processes Involve the Expression and Transmission of Genetic Information -- Theme: Life Requires the Transfer and Transformation of Energy and Matter -- Theme: Organisms Interact with Other Organisms and the Physical Environment -- Concept 1.2 The Core Theme: Evolution accounts for the unity and diversity of life -- Classifying the Diversity of Life -- Unity in the Diversity of Life -- Charles Darwin and the Theory of Natural Selection -- The Tree of Life -- Concept 1.3 In studying nature, scientists form and test hypotheses -- Exploration and Discovery -- Gathering and Analyzing Data -- Forming and Testing Hypotheses -- The Flexibility of the Scientific Process -- A Case Study in Scientific Inquiry: Investigating Coat Coloration in Mouse Populations -- Variables and Controls in Experiments -- Theories in Science -- Science as a Social Process -- Unit 1 Chemistry and Cells -- 2 The Chemical Context of Life -- Overview The Importance of Chemistry to Life -- Concept 2.1 Matter consists of chemical elements in pure form and in combinations called compounds -- Elements and Compounds -- The Elements of Life -- Evolution of Tolerance to Toxic Elements -- Concept 2.2 An element's properties depend on the structure of its atoms -- Subatomic Particles -- Atomic Number and Atomic Mass -- Isotopes -- The Energy Levels of Electrons -- Electron Distribution and Chemical Properties…”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Getting Started with Data Science -- Chapter 1 Wrapping Your Head Around Data Science -- Seeing Who Can Make Use of Data Science -- Inspecting the Pieces of the Data Science Puzzle -- Collecting, querying, and consuming data -- Applying mathematical modeling to data science tasks -- Deriving insights from statistical methods -- Coding, coding, coding - it's just part of the game -- Applying data science to a subject area -- Communicating data insights -- Exploring Career Alternatives That Involve Data Science -- The data implementer -- The data leader -- The data entrepreneur -- Chapter 2 Tapping into Critical Aspects of Data Engineering -- Defining Big Data and the Three Vs -- Grappling with data volume -- Handling data velocity -- Dealing with data variety -- Identifying Important Data Sources -- Grasping the Differences among Data Approaches -- Defining data science -- Defining machine learning engineering -- Defining data engineering -- Comparing machine learning engineers, data scientists, and data engineers -- Storing and Processing Data for Data Science -- Storing data and doing data science directly in the cloud -- Storing big data on-premise -- Processing big data in real-time -- Part 2 Using Data Science to Extract Meaning from Your Data -- Chapter 3 Machine Learning Means . . . …”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Getting Started with Critical Thinking Skills -- Chapter 1 Entering the Exciting World of Critical Thinking -- Opening the Doors to the Arguments Clinic -- Defining Critical Thinking -- Spotting how the brain likes to think -- Evaluating what you read, hear, and think -- Reading between the Lines -- Challenging concepts of rationality -- Dipping into the critical thinking skills toolbox -- Ordering your thinking: Reason, analyze, and then argue -- Discovering what kind of thinking you do -- Understanding What Critical Thinking Isn't -- Chapter 2 Peering into the Mind: How People Think -- Thinking Logically or Instinctively -- Buying beans and composing sonnets -- Jumping to conclusions: The cost of fast thinking -- Encountering illogicality with the Linda Problem -- Considering the power of group thinking -- Questioning your beliefs -- Cascading information -- Watching How the Brain Thinks -- "My nerves are playing up": The brain at work -- Stereotypes versus statistics - guess who wins! -- Getting Inside Scientists' Heads -- Engaging with scientific convention -- Trusting conjecture and refutation -- Thinking in fits and starts: Paradigm shifts -- Answers to Chapter 2's Exercises -- Pricing bats and balls -- Looking for the robber -- Astronomical wrangles -- Chapter 3 Planting Ideas in Your Head: The Sociology of Thinking -- Asking Whether You're Thinking What You Think You're Thinking -- Knowing how outside forces work on people -- Influencing people's opinions -- Consumer demand -- Emulation -- Advertising -- Thinking and Indoctrination: Propaganda -- "Here's what you think, comrade": Russia and China -- Mr. …”

Tabla de Contenidos: “…-- In a Nutshell -- Introduction -- Managing Change and Innovation -- Introduction to Innovation and Open Development -- The Role of the Creative Commons -- Today's Dilemma -- Addressing the "Unaddressable -- Factors Affecting Innovation -- The Five Types of Innovation -- The Three Subcategories of Innovation -- TRIZ Five Levels of Innovation -- The Doblin Periodic Table of Innovation Elements -- Part 1: Four Elements Aligning with the ISC Creation Cycle -- Parts 2 and 3: Preparation and Production + Delivery -- Conclusions Related to Types of Innovations -- Common Creativity Innovation Killers -- Your Creative and Innovative Powers -- The 10 S's -- Knowledge Management as a System -- Introduction to Value-Added or Useful Versus Harmful -- The Balance Between Useful and Harmful -- Orientation of Innovation Management to Future Consumers -- The Rebirth of the Citizen-Scientist -- The Eight Fundamental Principles of Innovation Management -- Ensuring a Balance of Routine and Innovative Management -- Barriers to Innovation Change Management -- Innovative Change Management Introduction (ICM) -- Different Approaches to ICM -- Five Types of Change Assessment -- Why Businesses Should Care About ISO 56000 -- How Does ISO 56000 Help Businesses? …”

Tabla de Contenidos: “…18.3.1 Data Ladder -- 18.3.2 Models of a Single Neuron -- 18.3.3 Models of Biologically Relevant Neural Networks -- 18.3.4 Models of Human Behavior -- 18.4 Traditional versus Fuzzy Approach -- 18.5 OFN as an Alternative Approach to Fuzziness -- 18.6 Patterns and Examples -- 18.6.1 Intuitive Modeling of the Complex Functions -- 18.6.2 Improving Policy Gradient Method -- 18.6.3 Modeling Learning Rate with the OFNs -- 18.7 Discussion -- 18.7.1 Results of Other Scientists -- 18.7.2 Limitations of Our Approach and Directions for Further Research -- 18.8 Conclusions -- References…”

Tabla de Contenidos: “…-- 1.2.1.1 Definitions from official and nonofficial bodies -- 1.2.1.2 Definitions from scientists and professionals -- 1.2.1.3 Evaluating the current definitions -- 1.2.1.4 Our interpretation? …”

Tabla de Contenidos: “…Maker Education in the Applied Physics Bachelor Programme at Delft University of Technology -- Abstract -- Keywords -- 1 Building Future Engineers and Scientists -- 2 Learning Goals, Structure, Workshops &amp -- Final Project for DEPS -- 3 The Need for and Realization of a Makerspace -- 4 Change in Workshops with the Coming of a Makerspace -- 5 The Design of a Final Project -- 6 Change in the Final Assignment with the Coming of the Makerspace -- 7 The Presentation of the Final Project -- Acknowledgements -- Notes -- References -- Part 3. …”

“…This arrangement is problematic. The way lab scientists and data scientists think and work is fundamentally different. …”