“…Get to grips with the fundamentals of Apache Spark for real-time Big Data processing About This Video Understand the fundamentals of Scala and the Apache Spark ecosystem Handle large streams of data with Spark Streaming and perform Machine Learning in real time with Spark MLlib Comprehensive tutorial packed with practical examples to help you develop real-world Big Data applications with Spark with Scala In Detail With the rise in popularity of the term ‘Big Data’, there is an increasing need to process large amounts of data in real-time, with maximum efficiency. …”

“…It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. …”

“…Take a deep dive into creating large-scale, multiplayer games with Unity 3D, using Mirror Networking and a variety of powerful transports. …”

“…While the single market has largely been achieved for the EU market for goods, the services sector has lagged behind. …”

“…You'll learn the general concepts behind machine learning, compare small scale and large scale data analysis algorithms, and review the basics of the architectures used in large-scale distributed processing. …”

“…Over the past few years big data has emerged a new major pluri-disciplinary research area whose objective is to deal with massive datasets and that are too large to be manipulated by conventional modelling and current computational approaches. …”

“…With the increase in data processing and storage capacity, a large amount of data is available. Data without analysis does not have much value. …”

“…You want to learn more about ChatGPT and other large AI models and how they will impact other technologies as well as nontechnological fields. …”

“…You’ll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet. …”

Tabla de Contenidos: “…10.5.5 Regional sustainable development -- 10.6 Concluding Remarks -- 10.6.1 Potential breakthrough technologies in light of the Grand Societal Challenges -- 10.6.2 Potential breakthrough technologies in the light of future scenarios -- 10.6.3 Insights and recommendations for further research -- References -- Chapter 11 - Investor Perspectives on Future Priorities -- Overview -- 11.1 Current State of Capital Flows to African Agriculture -- 11.1.1 The investment ladder for SME agribusinesses -- 11.1.2 Incubators and accelerators -- 11.1.3 Commercial banks -- 11.1.4 Impact investors -- 11.1.5 The missing middle in the investment ladder -- 11.2 Future Priorities for Commercial Investors -- 11.2.1 Constraints to investment -- 11.2.1.1 Lack of infrastructure -- 11.2.1.2 Deficiencies in the broader value chain -- 11.2.1.3 Limited deal flow -- 11.2.1.4 Position on the cost curve -- 11.2.1.5 Insufficient supply of talent for managing large-scale agricultural operations -- 11.2.1.6 High environment, social, and governance (ESG) risk -- 11.2.2 Lessons from the past -- 11.2.2.1 Analysis of CDC's agriculture investments in Africa (1948-1998) -- 11.2.3 Current trends and opportunities for the future -- 11.2.3.1 Choice of country -- 11.2.3.2 Distribution of new agribusiness investments in Africa by segment -- 11.2.3.3 Choice of commodity -- 11.3 Creating Shared Value in African Agriculture -- 11.3.1 Development thesis of impact investors -- 11.3.1.1 Agricultural development -- 11.3.1.2 Rural job creation -- 11.3.1.3 Development of the agri-food sector -- 11.3.2 Key agricultural development models -- 11.3.3 Value-chain clusters and creating shared value -- 11.3.3.1 Fostering clusters and enhancing entire value chains -- 11.3.3.2 Creating shared value (CSV) through reconnecting business and society -- 11.3.3.3 Responding to growing resource constraints…”

Tabla de Contenidos: “…Morales Break line and shotpile surfaces modeling in design of large-scale blasts S.V. Lukichev, O.V. Nagovitsyn & A.S. …”

Tabla de Contenidos: “…6.5 Expected Values of Functions of Two Random Variables 173 -- 6.5.1 Joint Moments 174 -- 6.6 Independence of Two Random Variables 175 -- 6.7 Correlation between Two Random Variables 178 -- 6.8 Conditional Distributions 185 -- 6.8.1 Conditional Expectations 186 -- 6.9 Distributions of Functions of Two Random Variables 188 -- 6.9.1 Joint Distribution of Two Functions of Two Random Variables 191 -- 6.10 Random Vectors 192 -- 6.11 Summary 197 -- Problems 198 -- 7 The Gaussian Distribution 201 -- 7.1 The Gaussian Random Variable 201 -- 7.2 The Standard Gaussian Distribution 204 -- 7.3 Bivariate Gaussian Random Variables 210 -- 7.3.1 Linear Transformations of Bivariate Gaussian Random Variables 213 -- 7.4 Jointly Gaussian Random Vectors 215 -- 7.5 Sums of Random Variables 217 -- 7.5.1 Mean and Variance of Sum of Random Variables 217 -- 7.5.2 Mean and Variance of Sum of Independent, Identically Distributed Random Variables 218 -- 7.5.3 Distribution of Sum of Independent Random Variables 218 -- 7.5.4 Sum of a Random Number of Independent, Identically Distributed Random Variables 219 -- 7.6 The Sample Mean 220 -- 7.6.1 Laws of Large Numbers 222 -- 7.7 Approximating Distributions with the Gaussian Distribution 223 -- 7.7.1 Relation between the Gaussian and Binomial Distributions 223 -- 7.7.2 Relation between the Gaussian and Poisson Distributions 225 -- 7.7.3 The Central Limit Theorem 226 -- 7.8 Probability Distributions Related to the Gaussian Distribution 230 -- 7.8.1 The Rayleigh Distribution 230 -- 7.8.2 The Ricean Distribution 231 -- 7.8.3 The Log-Normal Distribution 231 -- 7.8.4 The Chi-Square Distribution 232 -- 7.8.5 The Maxwell-Boltzmann Distribution 232 -- 7.8.6 The Student’s t-Distribution 233 -- 7.8.7 The F Distribution 234 -- 7.8.8 The Cauchy Distribution 234 -- 7.9 Summary 234 -- Problems 235 -- Part III Statistics 239 -- 8 Descriptive Statistics 241 -- 8.1 Overview of Statistics 241 -- 8.2 Data Displays 244 -- 8.3 Measures of Location 249 -- 8.4 Measures of Dispersion 250.…”

Tabla de Contenidos: “…Subjectivist standpoints -- 5.3.2 Discrepancies in conditioning -- 5.3.3 Discrepancies in notions of independence -- 5.3.4 Discrepancies in fusion operations -- 5.4 Further reading -- Chapter 6 Game-theoretic probability -- 6.1 Introduction -- 6.2 A law of large numbers -- 6.3 A general forecasting protocol -- 6.4 The axiom of continuity -- 6.5 Doob's argument -- 6.6 Limit theorems of probability -- 6.7 Lévy's zero-one law -- 6.8 The axiom of continuity revisited -- 6.9 Further reading -- Acknowledgements -- Chapter 7 Statistical inference -- 7.1 Background and introduction -- 7.1.1 What is statistical inference? …”

Tabla de Contenidos: “…5.6.1 Step-efficient parallel scan operation -- 5.6.2 Work-efficient parallel scan operation -- 5.6.3 Parallel scan operations for large arrays -- 5.7 Parallel global sum: Addressing the problem of associativity -- 5.8 Future of parallel algorithm research -- 5.9 Further explorations -- 5.9.1 Additional reading -- 5.9.2 Exercises -- Summary -- Part 2 CPU: The parallel workhorse -- 6 Vectorization: FLOPs for free -- 6.1 Vectorization and single instruction, multiple data (SIMD) overview -- 6.2 Hardware trends for vectorization -- 6.3 Vectorization methods -- 6.3.1 Optimized libraries provide performance for little effort -- 6.3.2 Auto-vectorization: The easy way to vectorization speedup (most of the time1) -- 6.3.3 Teaching the compiler through hints: Pragmas and directives -- 6.3.4 Crappy loops, we got them: Use vector intrinsics -- 6.3.5 Not for the faint of heart: Using assembler code for vectorization -- 6.4 Programming style for better vectorization -- 6.5 Compiler flags relevant for vectorization for various compilers -- 6.6 OpenMP SIMD directives for better portability -- 6.7 Further explorations -- 6.7.1 Additional reading -- 6.7.2 Exercises -- Summary -- 7 OpenMP that performs -- 7.1 OpenMP introduction -- 7.1.1 OpenMP concepts -- 7.1.2 A simple OpenMP program -- 7.2 Typical OpenMP use cases: Loop-level, high-level, and MPI plus OpenMP -- 7.2.1 Loop-level OpenMP for quick parallelization -- 7.2.2 High-level OpenMP for better parallel performance -- 7.2.3 MPI plus OpenMP for extreme scalability -- 7.3 Examples of standard loop-level OpenMP -- 7.3.1 Loop level OpenMP: Vector addition example -- 7.3.2 Stream triad example -- 7.3.3 Loop level OpenMP: Stencil example -- 7.3.4 Performance of loop-level examples -- 7.3.5 Reduction example of a global sum using OpenMP threading -- 7.3.6 Potential loop-level OpenMP issues…”

Tabla de Contenidos: “…81 -- 6.6 Conclusion 83 -- 6.7 References 83 -- Part 2 New Modalities and Forms of Work ... 87 -- Chapter 7 Challenges in Deploying Telework: Benefits and Risks for Employees 89 Emilie VAYRE -- 7.1 Telework: definitions and characteristics 89 -- 7.2 The benefits of teleworking 90 -- 7.3 The constraints and risks of teleworking 91 -- 7.4 The challenges of deploying telework in organizations 93 -- 7.4.1 Deploying and experimenting with telework 93 -- 7.4.2 Training of teleworkers and managers 96 -- 7.4.3 Evaluating the deployment of telework 97 -- 7.5 Conclusion 97 -- 7.6 References 98 -- Chapter 8 The Reconfiguration of Managerial Practices through Digital Innovation: The Example of a Work Team in Site Renovation 101 Elodie CHAMBONNI€RE and Jacqueline VACHERAND-REVEL -- 8.1 Introduction: when digital technology is used on renovation sites 101 -- 8.2 At the heart of the renovation sites 103 -- 8.2.1 Supervising in a complex and dynamic system 103 -- 8.2.2 Guiding a worksite: a conductor's activity at the crossroads of various modes of prevention management 103 -- 8.3 Understanding occupational risk prevention activity and prevention management 104 -- 8.4 Ethnography of the activity on a renovation site 106 -- 8.5 Confirming a culture of safety: prevention management 107 -- 8.5.1 Management towards site supervision 108 -- 8.5.2 Middle management 109 -- 8.5.3 Local management: towards construction workers 109 -- 8.6 Digital innovation in occupational risk prevention: restructuring of management practices 110 -- 8.6.1 Hierarchical visits by management 110 -- 8.6.2 Prevention visits by middle management 111 -- 8.6.3 Close supervision of the construction workers 111 -- 8.7 Conclusion: towards a better consideration of digital innovations in prevention management 113 -- 8.8 References 114 -- Chapter 9 Integrating Collaborative Robotics into Work Situations: The Intentions of SME Managers in the Digital Transformation of their Companies 115 Anne-Čcile LAFEUILLADE, Flore BARCELLINI, Willy BUCHMANN and Tahar-Hakim BENCHEKROUN -- 9.1 Transformations in work situations seen through the prism of technocentric solutions 115 -- 9.2 Models of leadership activity to understand change management processes 117 -- 9.2.1 The activity of managers at the crossroads of different roles 117 -- 9.2.2 Developing the intention of managers in change management processes: the contribution of the dialogical model of design 118 -- 9.3 Methodology for data collection and analysis 121 -- 9.4 Managers' desires in the face of reality: an encounter that helped to shape their intentions 123 -- 9.4.1 Elements shaping managers' desires 123 -- 9.4.2 The "conversation" between the desire and reality 124 -- 9.5 The reality, a messenger from the past, in a modernization project 125 -- 9.6 References 126 -- Chapter 10 The Role and Function of Technological Artifacts in Entrepreneurial Activity 129 Irn̈e POIDI, Marc-Eric BOBILLIER CHAUMON and Jacqueline VACHERAND-REVEL -- 10.1 Introduction 129 -- 10.2 Theoretical foundations 130 -- 10.3 Methodology 132 -- 10.4 Results 133 -- 10.5 Discussion and conclusion 137 -- 10.6 References 138 -- Part 3 Psychosocial and Socio-organizational Impacts of the Diffusion of Technology 141 -- Chapter 11 The New Physical Territories of Digital Activity 143 Maria IANEVA, Raluca CIOBANU and Chiara LAI -- 11.1 Introduction 143 -- 11.2 Transformation of spaces and transformation of work and employment: "spatialized work" 145 -- 11.3 From "spatialized work" to the division between space and work 146 -- 11.4 Flexible work environments: from work to "activity" 147 -- 11.4.1 The example of the design of the workspaces of a large company: the reconfiguration of work areas 148 -- 11.4.2 From space allocation to the redefinition of associated tasks 149 -- 11.5 What theoretical models for considering space and its transformations? …”