Tabla de Contenidos: “…Cover -- The Top 10 Things You Must Know About Saving for the Future…”

Tabla de Contenidos: “…Foundational ethical principles. The truth about AI bias / Introducing ethicize, the fully AI-driven cloud-based ethics solution! …”

Tabla de Contenidos: “…Cover -- Energy Futures: What Traders Need to Know about the Energy Market -- Investment and Trading Choices -- Predicting Oil's Availability in the Future -- How Much Oil Is There? …”

Tabla de Contenidos: “…""Front Matter""; ""Acknowledgments""; ""Contents""; ""Summary""; ""1 Introduction""; ""2 A Primer on the Science of Learning""; ""3 Current Conditions: Establishing a Baseline About Education on Dual Use Issues""; ""4 Gaps, Needs, and Potential Remedies""; ""Appendix A: Committee Member Biographies""; ""Appendix B: List of Workshop Participants and Agenda""; ""Appendix C: Recognizing the Importance of Education""; ""Appendix D: Discussion Questions for Breakout Sessions""…”

“…In just over 10 years, Google has become the world's most valuable brand, consistently dominating its category and generating $6 billion in revenue per quarter. …”

Tabla de Contenidos: “…Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Introduction -- Audience -- Course Adoption -- Errors -- Acknowledgments -- About the Authors -- Chapter 1: Data Collection and Cleaning -- Data-Collection Strategies -- Data Preprocessing Strategies -- Programming with R -- Data Types in R -- Data Structures in R -- Package Installation in R -- Reading and Writing Data in R -- Using the FOR Loop in R -- Using the WHILE Loop in R -- Using the IF-ELSE Statement in R -- Programming with Python -- Data Wrangling and Analytics in R and Python -- Structuring and Cleaning Data -- Missing Data -- Strategies for Dealing with Missing Data -- Data Deduplication -- Summary -- Exercise -- Notes -- References -- Chapter 2: Mathematical Background for Predictive Analytics -- Basics of Linear Algebra -- Vectors and Matrices -- Determinant -- Simple Linear Regression (SLR) -- Principal Component Analysis (PCA) -- Singular Value Decomposition (SVD) -- Introduction to Neural Networks -- Summary -- Exercise -- References -- Chapter 3: Introduction to Statistics, Probability, and Information Theory for Analytics -- Normal Distribution and the Central Limit Theorem -- Pearson Correlation Coefficient and Covariance -- Basic Probability for Predictive Analytics -- Conditional Probability -- Bayes' Theorem and Bayesian Classifiers -- Information Theory for Predictive Modeling -- Summary -- Exercise -- Notes -- References -- Chapter 4: Introduction to Machine Learning -- Statistical versus Machine Learning Models -- Regression Techniques -- Multiple Linear Regression (MLR) Model -- Assumptions of MLR -- Introduction to Multinomial Logistic Regression (MLogR) -- Bias versus Variance Trade-off -- Overfitting and Underfitting -- Regularization -- Ridge Regression -- Lasso Regression -- Summary -- Exercise…”

“…Sources and Literature of English History from the Earliest Times to about 1485…”

Tabla de Contenidos: “…The MolDx Approach to Test ReimbursementGreen Park Collaborative Recommendations; GATHERING THE EVIDENCE: DATABASES AND REGISTRIES; My Cancer Genome; ClinGen; Targeted Agent and Molecular Profiling Utilization Registry; Challenges in Using Databases; EDUCATION AND CLINICAL DECISION SUPPORT NEEDS; Guidelines; Treatment Pathways; RESEARCH NEEDS; CLOSING REMARKS; REFERENCES; Appendix: Workshop Statement of Task and Agenda; POLICY ISSUES IN THE DEVELOPMENT AND ADOPTION OF MOLECULARLY TARGETED THERAPIES FOR CANCER…”

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“…What chief executive officers get wrong about vision and how to get it right…”

“…Should you deploy that machine learning model — or will it fail? Most leaders making these decisions are focusing on the wrong metrics — which dooms many projects. …”