“…Building Machine Learning applications with R About This Book Implement a wide range of algorithms and techniques for tackling complex data Improve predictions and recommendations to have better levels of accuracy Optimize performance of your machine-learning systems Who This Book Is For This book is for analysts, statisticians, and data scientists with knowledge of fundamentals of machine learning and statistics, who need help in dealing with challenging scenarios faced every day of working in the field of machine learning and improving system performance and accuracy. …”

Tabla de Contenidos: “…-- Chapter 15 Ten Ways to Boost Your Return on Investment -- Doing Your Homework -- Timing Your Entry -- Playing the Markets -- Identifying Low Hash Rate Alternative Cryptocurrencies -- Mining the Start of a Chain -- Starting Small -- Scaling Choices -- Finding Cheap Electricity -- Cooling Efficiently -- Scoring Hardware Deals -- Chapter 16 Ten Types of Cryptocurrency Resources -- Cryptocurrency Market Trackers -- Mining Profitability Estimation Tools -- Cryptocurrency Reddit Pages -- Blockchain Explorers -- Data Visualizations -- Cryptocurrency Data and Statistics -- Cryptocurrency Wikis -- Cryptocurrency White Papers -- The Satoshi Nakamoto Institute -- A Cypherpunk's Manifesto -- Bitcoin Guides and Walkthroughs -- Chapter 17 Ten Criticisms of Cryptocurrencies and Mining -- Energy Consumption -- Wasted Processing -- Scalability, Transaction Speed, and Throughput -- Coin Distribution Fairness -- Market Bubbles and Volatility -- Centralization -- Scams and Rip-offs -- Hardware Price Inflation and Scarcity -- Fire Hazards -- Neighbor Complaints -- Index -- EULA…”

“…You can use Squid to collect statistics about the…”

Tabla de Contenidos: “…Managing -- 5.1 IBM Grid Services Manager -- 5.1.1 Starting the IBM Grid Services Manager -- 5.1.2 Adding instances -- 5.1.3 Removing instances -- 5.1.4 Viewing and editing properties, statistics, and logging -- 5.1.5 Managing a grid service -- 5.1.6 Stopping the IBM Grid Toolbox instance -- 5.2 Deploying and undeploying grid services -- 5.2.1 Deploying -- 5.2.2 Undeploying -- 5.2.3 Updating a deployed service -- 5.2.4 Adding security -- 5.3 Managing Information Services -- 5.3.1 Information Services startup status -- 5.3.2 File location -- 5.4 Managing a policy -- 5.5 Managing connections for CMM Services -- 5.5.1 Adding a connection -- 5.5.2 Deleting a connection -- 5.6 Backing up a grid -- 5.6.1 Backing up files -- 5.6.2 Restoring files -- Chapter 6. …”

Tabla de Contenidos: “…2.1.3 Departures from the Textbook Environment: Loads and Preference Heterogeneity -- 2.2 Empirical Evidence on Selection -- 2.2.1 Testing for Selection -- 2.2.2 Evidence on Selection -- 2.2.3 Welfare Consequences -- 2.2.4 Directions for Future Work -- 2.3 Other Motivations -- 3 Design of Public Insurance Programs -- 3.1 Optimal Benefit Level in a Static Model -- 3.2 Sufficient Statistics Implementation -- 3.2.1 Consumption Smoothing -- 3.2.2 Liquidity vs. …”

Tabla de Contenidos: “…-- Apparent simplicity -- Flexibility -- Solids handling -- Batch integrity -- The main batch design requirements -- Nonsteady state -- Batch heat transfer -- Batch distillation -- Batch reaction -- Batch sequencing -- Energy balance and utility requirements -- Simple/robust versus complicated/fragile design -- Lessons from the slide rule -- Estimation/feel -- Setting the design envelope -- Summary statistics -- Implications of new design tools -- Importance of understanding your design -- Manager/engineer tensions in design -- Manager/engineer tensions I: risk aversion -- Manager/engineer tensions II: the Iron Triangle -- Whole-system design methodology -- Design stages in a nutshell -- Conceptual design -- Intermediate design -- Design for construction -- Variations on a theme -- Further Reading -- 8 How to Do a Mass and Energy Balance -- Introduction -- Unsteady state -- Implications of feedstock and product specifications -- Stages of plant life -- Handling recycles -- How to set it out in Excel -- Using Excel for iterative calculations: "Goal Seek" and "Solver" -- 9 How to Do Hydraulic Calculations -- Introduction -- Matching design rigor with stage of design -- Level 1-superficial velocity -- Level 2-nomograms, etc. -- Liquids -- Net positive suction head…”

Tabla de Contenidos: “…Controlling Queue Members via the CLI -- Defining Queue Members in the queues.conf File -- Controlling Queue Members with Dialplan Logic -- Automatically Logging Into and Out of Multiple Queues -- An Introduction to Device State -- The queues.conf File -- The agents.conf File -- Advanced Queues -- Priority Queue (Queue Weighting) -- Queue Member Priority -- Changing Penalties Dynamically (queuerules.conf) -- Announcement Control -- Overflow -- Using Local Channels -- Queue Statistics: The queue_log File -- Conclusion -- Chapter 14. …”

“…What You Will Learn Know what Moodle does and how it supports your teaching strategies Install Moodle on your computer and navigate your way around it Understand all of Moodle's learning features Monitor how learners interact with your site using site statistics Add multimedia content to your site Allow students to enroll themselves or invite other students to join a course In Detail Moodle is a learning platform or Course Management System (CMS) that is easy to install and use, but the real challenge is in developing a learning process that leverages its power and maps the learning objectives to content and assessments for an integrated and effective course. …”

“…Basic knowledge of statistics and R programming is assumed. What You Will Learn Acquire, format and visualize your data using R Using R to perform an Exploratory data analysis Introduction to machine learning algorithms such as classification and regression Get started with social network analysis Generate dynamic reporting with Shiny Get started with geospatial analysis Handling large data with R using Spark and MongoDB Build Recommendation system- Collaborative Filtering, Content based and Hybrid Learn real world dataset examples- Fraud Detection and Image Recognition In Detail Data analytics with R has emerged as a very important focus for organizations of all kinds. …”

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Tabla de Contenidos: “…-- Viewing Strategies -- Understanding Standard Views -- Understanding Standard Tables -- Understanding Filtering and Grouping -- Combining Views, Tables, Filters, and Groups to Review Project Schedule Details -- Consultants' Tips -- 12 Performing a Schedule Reality Check -- Auditing the Schedule for Reasonableness -- Reviewing the Big Picture (Critical Path Analysis) -- Reviewing the Project-Level Statistics -- Strategies for Analyzing Costs -- Finalizing the Schedule -- Baselining the Schedule -- Consultants' Tips -- III: Project Execution Through Completion -- 13 Tracking Your Project Progress -- Overview of Tracking -- Working with Project Baselines -- Tracking Your Project's Performance and Costs -- Entering Tracking Information at the Task Level -- Entering Tracking Information at the Assignment Level -- Understanding the Calculation Options That Affect Tracking -- Using Microsoft Project's Facilities for Updating Tasks -- Consultants' Tips -- 14 Analyzing Performance -- Reviewing the Current Status of a Project -- Analyzing Performance with Earned Value Analysis -- Using Analysis Views and Reports -- Analyzing the Critical Path -- Consultants' Tips -- 15 Using Reports for Tracking and Control -- Using Basic Reports -- Using Visual Reports -- Consultants' Tips -- 16 Revising the Schedule -- When Things Don't Go According to Plan -- Too Late for Avoidance-Now What? …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- A Letter to the Reader -- Preface -- Chapter 1 Government Regulation of Fundraising for Charity -- 1.1 Charitable Sector and American Political Philosophy -- 1.2 Charitable Fundraising: A Portrait -- (a) Scope of Charitable Giving in General -- (b) Noncash Gifts Statistics -- (c) Online Charitable Fundraising -- 1.3 Brief History of Government Regulation of Fundraising -- 1.4 Contemporary Regulatory Climate -- Chapter 2 Anatomy of Charitable Fundraising -- 2.1 Scope of Term Charitable Organization -- 2.2 Methods of Fundraising -- (a) Annual Giving Programs -- (b) Special‐Purpose Programs -- (c) Estate Planning Programs -- (d) Reasonable Costs of Fundraising -- 2.3 Role of a Fundraising Professional -- (a) Types of Professional Fundraisers -- (b) Professional Associations -- (c) Accreditation and Certification -- (d) Standards of Conduct and Professional Practice -- 2.4 Role of an Accountant -- (a) Generally Accepted Accounting Principles -- (b) Financial Reporting Requirements -- (c) Financial Management -- 2.5 Role of a Lawyer -- 2.6 Viewpoint of Regulators -- 2.7 Viewpoint of a Regulated Professional -- 2.8 Coping with Regulation: A System for the Fundraising Charity -- (a) Monitoring of Compliance Requirements -- (b) Public Relations -- (c) Record Keeping and Financial Data -- Chapter 3 States' Charitable Solicitation Acts -- 3.1 Summary -- 3.2 Definitions -- (a) Charitable -- (b) Charitable Organization -- (c) Solicitation -- (d) Sale -- (e) Contribution -- (f) Membership -- (g) Professional Fundraiser -- (h) Professional Solicitor -- (i) Fundraising -- (j) Commercial Coventurer -- (k) Administrative Agency -- 3.3 Preapproval -- 3.4 Annual Reporting -- 3.5 Exemptions -- (a) Churches -- (b) Other Religious Organizations -- (c) Educational Institutions…”

Tabla de Contenidos: “…7.2.7 Machine-generated data, Internet of Things data -- 7.3 Analytics and data -- 7.3.1 Analytics continuum -- 7.3.2 Stage 0: Descriptive statistics -- 7.3.3 Stage 1: Predictive analytics -- 7.3.4 Stage 2: Prescriptive analytics -- 7.3.5 Stage 3: Simulation -- 7.3.6 Stage 4: Optimization -- 7.4 Augmented intelligence -- 7.5 Data scientists and statisticians -- 7.6 Final thoughts -- Summary -- 8 Looking forward: What's next for our data? …”

Tabla de Contenidos: “…Status quo: Treat people like commodities-all alike -- Your choice: Put people first, work together, and make something great -- Status quo: Celebrate statistics only, not accompanying success stories -- Your choice: Celebrate stories of impact underpinned by data -- How to foster a mindful and impactful team using the PURSUE framework -- Positive -- Understandable -- Relatable -- Stalwart -- Useful -- Enthusiastic -- When the going gets tough, turn to daily micro habits to get unstuck and get going -- Micro Habit #1: Great teams embrace the work and one another, flaws and all -- Micro Habit #2: Great teams overpower the isolation and misunderstood nature of social impact work -- Micro Habit #3: Great teams know one another personally as well as professionally -- Micro Habit #4: Great teams draw energy from complementary capabilities -- Micro Habit #5: Great teams show gratitude before attitude-there's nothing to prove until you have something to prove -- Micro Habit #6: Great teams navigate complexity with calm, not chaos -- Micro Habit #7: Great teams seek cohesion rather than full clarity-people feel part of something great, even external partners -- Micro Habit #8: Great teams champion honesty, admit when things could be better, and work to make it so -- Teamwork is only renewable to the extent you invest in it -- Key Questions -- Chapter 5: Secret #5: Highly effective social impact communicators ... reframe every setback as the crest of a hill -- New insights yield new direction-and the potential for disorienting doubt -- Crest-climbing insight No. 1: Hills provide unprecedented perspective -- Crest-climbing insight No. 2: Each hill must be tackled differently, though there are patterns -- Crest-climbing insight No. 3: Once you've defined what's hard, you can determine what's possible…”

Tabla de Contenidos: “…Front cover -- Half title -- Title -- Copyright -- Dedication -- Contents -- Contributors -- Editors Biography -- Preface -- Acknowledgments -- Chapter 1 Multiobjective combinatorial optimization problems: social, keywords, and journal maps -- 1.1 Introduction -- 1.2 Methodology -- 1.3 Data and basic statistics -- 1.4 Results and discussion -- 1.4.1 Mapping the cognitive space -- 1.4.2 Mapping the social space -- 1.5 Conclusions and direction for future research -- References -- Chapter 2 The fundamentals and potential of heuristics and metaheuristics for multiobjective combinatorial optimization problems and solution methods -- 2.1 Introduction -- 2.2 Multiobjective combinatorial optimization -- 2.3 Heuristics concepts -- 2.4 Metaheuristics concepts -- 2.5 Heuristics and metaheuristics examples -- 2.5.1 Tabu search -- 2.6 Evolutionary algorithms (EA) -- 2.7 Genetic algorithms (GA) -- 2.8 Simulated annealing -- 2.9 Particle swarm optimization (PSO) -- 2.10 Scatter search (SS) -- 2.11 Greedy randomized adaptive search procedures (GRASP) -- 2.12 Ant-colony optimization -- 2.13 Clustering search -- 2.14 Hybrid metaheuristics -- 2.15 Differential evolution (DE) -- 2.16 Teaching learning-based optimization (TLBO) -- 2.17 Discussion -- 2.18 Conclusions -- 2.19 Future trends -- References -- Chapter 3 A survey on links between multiple objective decision making and data envelopment analysis -- 3.1 Introduction -- 3.2 Preliminary discussion -- 3.2.1 Multiple objective decision making -- 3.2.2 Data envelopment analysis -- 3.3 Application of MODM concepts in the DEA methodology -- 3.3.1 Classical DEA models -- 3.3.2 Target setting -- 3.3.3 Value efficiency -- 3.3.4 Secondary goal models -- 3.3.5 Common set of weights -- 3.3.6 DEA-discriminant analysis -- 3.3.7 Efficient units and efficient hyperplanes -- 3.4 Classification of usage of DEA in MODM…”

Tabla de Contenidos: “…Creating custom reports with the report generator ; Exploring the report generator ; Selecting data and report sources ; Building reports ; Report audiences ; Scheduling reports ; Report generator limitations and an alternative ; Understanding Moodle's logging framework ; Understanding events ; Logging and log stores ; Interacting with log-based reports ; Gathering statistics ; Making predictions with Moodle Analytics ; Setting up Moodle Analytics ; Creating analytics models ; Summary -- 13: Ensuring Moodle Security. …”

Tabla de Contenidos: “…Structural prediction of protein-RNA interaction by computational docking with propensity-based statistical potentials / Laura Pérez-Cano ... [et al.] -- Personal genomics. …”

Tabla de Contenidos: “…Animals Models and In Vitro Alternativesin Regenerative Medicine: Focus onBiomaterials Development -- 3.1 Introduction -- 3.1.1 Animals in Medical Research -- 3.1.2 Ethical Considerations of Animal Use -- 3.2 Designing Animal Experiments -- 3.2.1 Randomization and Blinding -- 3.2.2 Control Groups -- 3.2.3 Statistical Analysis -- 3.2.4 Design Stages -- 3.3 Limitations of Animal Models -- 3.3.1 Animal Species -- 3.3.2 Health and Age Status -- 3.3.3 Reproducibility -- 3.4 Examples of Animal Models for Cardiac and CornealRegenerative Medicine Testing -- 3.4.1 Myocardial Infarct and Other Ischemic Models -- 3.4.1.1 Myocardial coronary artery ligation -- 3.4.1.3 Hind-limb ischemia -- 3.4.1.2 Cryoinjury -- 3.4.2 Corneal Transplantation Models -- 3.4.2.1 Animal species -- 3.4.2.2 Lamellar and penetrating keratoplasty -- 3.4.2.3 Infectious models -- 3.5 In Vitro Systems as Alternatives to Animal Testing -- 3.5.1 In Vitro Corneal Equivalents for Screening Biomaterialsas Potential Implants…”

Tabla de Contenidos: “…5 Freight transport: Bold action can decarbonise movement of goods -- Decarbonising freight transport: The state of play -- Freight's main challenges -- Three steps towards decarbonising freight -- Mastering the pandemic: Challenges and opportunities for freight after Covid-19 -- Recover, Reshape, Reshape+: Three possible futures for freight transport -- Freight transport in the Recover scenario -- Paradigm change: Freight transport in the Reshape scenario -- Reshape+: Reinforcing Reshape -- Demand for freight: Substantial growth at a slower pace -- CO2 emissions from freight transport: Reversing emission growth -- Equitable freight decarbonisation: Avoiding regional imbalances -- More resilience, less carbon and lower costs with the right policy mix -- Policy recommendations -- Design stimulus packages that align to support economic recovery, freight decarbonisation and supply chain resilience -- Align price incentives with freight decarbonisation ambitions for carrier buy-in -- Scale-up ready-to-adopt freight decarbonisation measures quickly to cut costs and emissions -- Strengthen international co-operation to combat freight emissions -- Accelerate standardisation procedures to speed-up the adoption of new clean technologies -- Tailor decarbonisation pathways to regional realities to address gaps in standard solutions -- Broaden access to privately owned data to improve policy design -- References -- Annex A. Statistical Annex…”

Tabla de Contenidos: “…Transboundary water co-operation in the Jordan River Basin -- The risks of global warming to coral reef ecosystems -- Glossary -- A new vision of open knowledge systems for sustainability: Opportunities for social scientists -- Changing the conditions of change by learning to use the future differently -- Climate is culture -- Participatory water governance in Mercosur countries -- Open knowledge and learning for sustainability -- Winning environmental justice for the Lower Mekong Basin -- Global governance and sustainable development -- Bibliometric analysis of social science research into global environmental change -- Vulnerable and resilient children after disasters and gene–environment interplay -- Migration as an adaptation strategy to environmental change -- Basic statistics on the production of social science research -- Towards greater fairness in sharing the risks and burdens of global environmental change -- Integrated Research on Disaster Risk programme -- The role of the social sciences in adapting to climate change in northern Europe -- Climate change mitigation, a problem of injustice -- The politics of climate change and grassroots demands -- The paradoxes of climate change and migration -- Regional divides in global environmental change research capacity -- Climate change education and Education for Sustainable Development -- A functional risk society? …”