Tabla de Contenidos: “…-- Exploring the data science process -- Data collection -- Data exploration -- Data modeling -- Model evaluation -- Model deployment and monitoring -- Dissecting the flavors of data science -- Data engineer -- Dashboarding and visual specialist -- ML specialist -- Domain expert -- Reviewing career paths in data science -- The traditionalist -- Domain expert -- Off-the-beaten path-er -- Tackling the experience bottleneck -- Academic experience -- Work experience -- Understanding expected skills and competencies -- Hard (technical) skills -- Soft (communication) skills -- Exploring the evolution of data science -- New models -- New environments -- New computing -- New applications -- Summary -- References -- Chapter 2: Finding a Job in Data Science -- Searching for your first data science job -- Preparing for the road ahead -- Finding job boards -- Beginning to build a standout portfolio -- Applying for jobs -- Constructing the Golden Resume -- The perfect resume myth -- Understanding automated resume screening -- Crafting an effective resume -- Formatting and organization -- Using the correct terminology -- Prepping for landing the interview -- Moore's Law -- Research, research, research -- Branding -- References -- Part 2: Manipulating and Managing Data -- Chapter 3: Programming with Python -- Using variables, data types, and data structures -- Indexing in Python -- Using string operations -- Initializing a string -- String indexing -- Using Python control statements, loops, and list comprehensions -- Conditional statements such as if, elif, and else -- Loop statements such as for and while -- List comprehension…”

Tabla de Contenidos: “…The Unstructured Type -- Getters and Setters to Access TypeMeta Fields -- Getters and Setters to Access ObjectMeta Fields -- Methods for Creating and Converting -- Helpers to Access Non-meta Fields -- Example -- The UnstructuredList Type -- Getters and Setters to Access TypeMeta Fields -- Getters and Setters to Access ListMeta Fields -- Methods for Creating and Converting -- Converting Between Typed and Unstructured Objects -- The Dynamic Client -- Getting the dynamic Client -- Working with the dynamic Client -- Example -- The fake dynamic Client -- Conclusion -- Chapter 10: Writing Operators with the Controller-Runtime Library -- The Manager -- The Controller -- Creating a Controller -- Watching Resources -- A First Example -- Using the Controller Builder -- A Second Example Using the ControllerBuilder -- Injecting Manager Resources into the Reconciler -- Passing the Values When Creating the Reconciler Structure -- Using Injectors -- Using the Client -- Getting Information About a Resource -- Listing Resources -- Creating a Resource -- Deleting a Resource -- Deleting a Collection of Resources -- Updating a Resource -- Patching a Resource -- Server-side Apply -- Strategic Merge Patch -- Merge Patch -- Updating the Status of a Resource -- Patching the Status of a Resource -- Logging -- Verbosity -- Predefined Values -- Logger Name -- Getting the Logger from Context -- Events -- Conclusion -- Chapter 11: Writing the Reconcile Loop -- Writing the Reconcile Function -- Checking Whether the Resource Exists -- Implementing the Reconciled Resource -- Simple Implementation Example -- Conclusion -- Chapter 12: Testing the Reconcile Loop -- The envtest Package -- Installing envtest Binaries -- Using envtest -- Defining a ginkgo Suite -- Writing the Tests -- Test 1 -- Test 2 -- Test 3 -- Test 4 -- Conclusion -- Chapter 13: Creating an Operator with Kubebuilder…”

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Tabla de Contenidos: “…-- 12.3 Second quantisation -- 12.3.1 Multiple-particle states -- 12.3.2 Fock spaces -- 12.3.3 Observables in Fock spaces -- 12.3.4 Evolution in Fock spaces -- 12.3.5 Creation and annihilation of particles -- 12.4 Solving recursive equations in the free Fock space -- 12.4.1 A domain of operators on the free Fock space -- 12.4.2 Semantic functionals of program schemes -- 12.4.3 Fixed point semantics -- 12.4.4 Syntactic approximation -- 12.5 Recovering symmetry and antisymmetry -- 12.5.1 Symmetrisation functional -- 12.5.2 Symmetrisation of semantics of quantum recursion -- 12.6 Principal system semantics of quantum recursion -- 12.7 Illustrative examples: revisit recursive quantum walks -- 12.8 Quantum while-loops (with quantum control) -- 12.9 Bibliographic remarks and further readings -- VI Prospects -- 13 Prospects -- 13.1 Quantum machines and quantum programs…”

Tabla de Contenidos: “…-- 6.3 Treaties on AWS -- 6.4 AI -- 6.5 Behavioral science -- 6.5.1 Advantages -- 6.5.2 Disadvantages and ethics of behavioral science and AWS -- 6.6 Mechanism design -- 6.6.1 Advantages -- 6.6.2 Disadvantages -- 6.7 How to use AWS -- 6.7.1 Human-in-the-loop AWS -- 6.7.2 Human-on-the-loop AWS -- 6.7.3 Human-out-the-loop AWS -- 6.8 Conclusion -- AI disclosure -- References -- 7 - Law -- 7.1 Introduction -- 7.2 Criminal justice system -- 7.2.1 AI -- 7.2.2 Behavioral science -- 7.2.3 Mechanism design -- 7.3 Inequality -- 7.3.1 AI -- 7.3.2 Behavioral science -- 7.3.3 Mechanism design -- 7.4 Social protection -- 7.4.1 AI -- 7.4.2 Behavioral sciences -- 7.4.3 Mechanism design -- 7.5 Health liability -- 7.5.1 AI…”

Tabla de Contenidos: “…Preface xix -- Acknowledgements xxv -- List of Abbreviations xxvii -- 1 Introduction to 𝚺𝚫 Modulators: Fundamentals, Basic Architecture and Performance Metrics 1 -- 1.1 Basics of Analog-to-Digital Conversion 2 -- 1.1.1 Sampling 3 -- 1.1.2 Quantization 4 -- 1.1.3 Quantization White Noise Model 5 -- 1.1.4 Noise Shaping 8 -- 1.2 Sigma-Delta Modulation 9 -- 1.2.1 From Noise-shaped Systems to ΣΔ Modulators 10 -- 1.2.2 Performance Metrics of ΣΔMs 11 -- 1.3 The First-order ΣΔ Modulator 13 -- 1.4 Performance Enhancement and Taxonomy of ΣΔMs 16 -- 1.4.1 ΣΔM System-level Design Parameters and Strategies 17 -- 1.4.2 Classification of ΣΔMs 18 -- 1.5 Putting All The Pieces Together: From ΣΔMs to ΣΔ ADCs 19 -- 1.5.1 Some Words about ΣΔ Decimators 20 -- 1.6 ΣΔ DACs 22 -- 1.6.1 System Design Trade-offs and Signal Processing in ΣΔ DACs 22 -- 1.6.2 Implementation of Digital ΣΔMs used in DACs 24 -- 1.7 Summary 25 -- References 26 -- 2 Taxonomy of 𝚺𝚫 Architectures 29 -- 2.1 Second-order ΣΔ Modulators 30 -- 2.1.1 Alternative Representations of Second-order ΣΔMs 31 -- 2.1.2 Second-Order ΣΔM with Unity STF 34 -- 2.2 High-order Single-loop ΣΔMs 35 -- 2.3 Cascade ΣΔ Modulators 39 -- 2.3.1 SMASH ΣΔM Architectures 46 -- 2.4 Multi-bit ΣΔ Modulators 49 -- 2.4.1 Influence of Multi-bit DAC Errors 49 -- 2.4.2 Dynamic Element Matching Techniques 50 -- 2.4.3 Dual Quantization 53 -- 2.4.3.1 Dual-quantization Single-loop ΣΔMs 53 -- 2.4.3.2 Dual-quantization Cascade ΣΔMs 54 -- 2.5 Band-pass ΣΔ Modulators 55 -- 2.5.1 Quadrature BP-ΣΔMs 56 -- 2.5.2 The z → −z2 LP-BP Transformation 58 -- 2.5.3 BP-ΣΔMs with Optimized NTF 58 -- 2.5.4 Time-interleaved and Polyphase BP-ΣΔMs 61.…”

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Tabla de Contenidos: “…Prābhākara Theories on Exhortative Expressions in TR IV; 3.2. The Sacred Texts' Loop (TR IV 9.1); 3.3. A Possible Way Out (TR IV 9.2); 3.3.1. …”
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Tabla de Contenidos: “…-- Why People Don't Listen -- Four Principles of Effective Sales Conversations -- The Fine Art of Listening -- Active Listening -- Listen Deeply -- Activating the Self-Disclosure Loop -- Notes -- Chapter 23: Discovery: Sales Is a Language of Questions -- The Tour -- Alpha and Omega -- Joe the Interrogator -- Ask Easy Questions First -- The Power of Open-Ended Questions -- Avoid the Pump and Pounce -- Fluid Dual Process Discovery -- Developing Go-To Questions -- Notes -- Chapter 24: Do You Make Me Feel Important? …”

Tabla de Contenidos: “…2.4 Gängige Kontrollflussstrukturen -- 2.4.1 Das If-Konstrukt -- 2.4.2 Das Loop-Konstrukt -- 2.4.3 Die While-Schleife -- 2.4.4 Die For-Schleife -- 3 Variablen -- 3.1 Veränderbare und nicht veränderbare Variablen -- 3.2 Weitere Arten der Variablendefinition -- 3.2.1 Globale Variablen -- 3.2.2 Konstanten -- 4 Datentypen -- 4.1 Skalare Datentypen -- 4.1.1 Ganzzahlen -- 4.1.2 Fließkommazahlen -- 4.1.3 Logische Werte -- 4.1.4 Zeichen -- 4.1.5 Typkonvertierung -- 4.2 Tupel und Felder -- 4.2.1 Tupel -- 4.2.2 Felder -- 4.3 Strukturierte Datentypen -- 4.3.1 Unterstützung bei der Initialisierung…”

Tabla de Contenidos: “…4.5 Modifying Our First Code Example4.6 Breaking a Problem Down; 5 Day in the Life of a Microcontroller; 5.1 The Logical LaunchPad; 5.2 if (hungry) {eat}; 5.3 Conditionals; 5.4 if (hungry) {eat} else {sleep}:; 5.5 Multiple Choices with the Switch; 5.6 Repetition+Condition=Loop; 5.7 Project 3: LED Blink Counter; 5.8 Your LaunchPad Just Got Educated!…”

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Tabla de Contenidos: “…Polymorphism -- Inheritance -- Virtual functions -- Pure virtual functions -- Pointers and object slicing -- The roguelike template setup -- Downloading SFML -- Linking SFML -- Running the project -- Adding an item -- Updating and drawing -- Exercises -- Summary -- Chapter 3: Using RNG with C++ Data Types -- Setting the game seed -- Setting Boolean values randomly -- Generating a number between 0 and 1 -- Choosing if an item spawns -- Random number distribution -- Giving the player random stats -- Accessing random elements of a collection -- Spawning a random item -- Generating random characters -- Repeating loops -- Spawning a random number of items -- Exercises -- Summary -- Chapter 4: Procedurally Populating Game Environments -- Potential obstacles -- Keeping within the bounds of a level -- Avoiding overlapping objects -- Creating meaningful levels -- Level tiles -- Defining the spawn area -- Calculating the level bounds -- Checking the underlying game grid -- Selecting a suitable game tile -- Randomly selecting a tile -- Checking whether a tile is suitable -- Converting to absolute position -- Spawning items at a random location -- Expanding the spawning system -- Using enumerators to denote an object type -- Optional parameters -- The complete spawn functions -- Updating the spawn code -- Randomly spawning enemies -- Spawning random tiles -- Adding a new game tile -- Choosing a random tile -- Implementing the SpawnRandomTiles function -- Exercises -- Summary -- Chapter 5: Creating Unique and Randomized Game Objects -- Creating a random player character -- Choosing a player class -- An overview of sprites and textures -- Setting an appropriate sprite -- Buffing the player stats -- Random character traits -- Returning the player traits array -- Setting trait sprites -- Procedurally generating an enemy class -- Procedural items…”

Tabla de Contenidos: “…Test Case Abstraction -- 4.3.5.1. Loop-Based Abstraction -- 4.3.5.2. Block-Based Abstraction -- 4.3.6. …”

Tabla de Contenidos: “…Chapter 12 Hybrid Aircraft Aerodynamics and Aerodynamic Design Considerations of Hover-to-Dash Convertible UAVs -- 12.1 Why Hover-to-Dash Conversion is Important -- 12.2 Aircraft Mission Profiles and Sizing Chart Structure -- 12.3 Convertible Coleopter Design, Wind Tunnel and Flight Testing -- 12.4 Future: Convertible QuadCopter Design and Flight Testing -- 12.5 The Extreme: Hover-to-Supersonic Dash Aircraft -- References -- PART II Novel Concepts in Unmanned Aircraft Flight Stability and Control -- 2.1 Fixed-wing (airplanes) -- Chapter 13 Closed-loop Active Flow Control for UAVs -- 13.1 Introduction -- 13.2 Objectives -- 13.3 Actuators -- 13.4 Linear System -- 13.5 Plant Model Identification -- 13.6 Controller Architecture -- 13.7 Conclusions -- Acknowledgement -- References -- Chapter 14 Autonomous Gust Alleviation in UAVs -- 14.1 Introduction -- 14.2 The Composite Spar -- 14.3 The Energy-harvesting and Storage Component -- 14.4 Reduced Energy Control Law -- 14.5 Gust Modelling -- 14.6 Experimental Validation -- 14.7 Performance -- 14.8 Other Considerations -- 14.9 Summary and Discussion -- Acknowledgement -- References -- Chapter 15 Virtual Flight Simulation using Computational Fluid Dynamics -- 15.1 Introduction -- 15.2 Aerodynamic Model for Flight Simulation -- 15.3 Generation of Tabular Aerodynamic Model -- 15.4 Time-accurate CFD for Flight Simulations -- 15.5 Conclusions -- References -- Chapter 16 Flow Structure Modification Using Plasma Actuation for Enhanced UAV Flight Control -- 16.1 Introduction -- 16.2 Aerodynamic Flow Control -- 16.3 Plasma Actuators -- 16.4 Dielectric Barrier Discharge -- 16.5 Experimental Setup -- 16.6 Results and Analysis -- 16.7 Conclusions -- Acknowledgments -- References -- Chapter 17 Constrained Motion Planning and Trajectory Optimization for Unmanned Aerial Vehicles -- 17.1 Introduction…”

Tabla de Contenidos: “…-- The ArrowDeviceArray struct -- Using ArrowDeviceArray -- Other use cases -- Some exercises -- Summary -- Chapter 5: Acero: A Streaming Arrow Execution Engine -- Technical requirements -- Letting Acero do the work for you -- Input shaping -- Value casting -- Types of functions in Acero -- Invoking functions -- Using the C++ compute library -- Using the compute library in Python -- Picking the right tools -- Adding a constant value to an array -- Compute Add function -- A simple for loop -- Using std::for_each and reserve space -- Divide and conquer -- Always have a plan -- Where does Acero fit? …”

Tabla de Contenidos: “…Problem 4: Misuse of Nested Loop, Sort Merge, or Hash Join; 1.5.5. Problem 5: Misuse of IN, EXISTS, NOT IN, NOT EXISTS, or Table Joins; 1.5.5.2. …”

Tabla de Contenidos: “…5.3.3 Narrowband MIMO Channel Sounding -- 5.4 Wideband Sounding: Correlative Sounding -- 5.4.1 ML-sequences -- 5.4.2 Cross-Correlation Using the FFT -- 5.4.3 Digital Matched Filters -- 5.5 Wideband Sounding: Sampled Spectrum Channel Sounding -- 5.6 Switched-array Architectures -- 5.7 Timing and Carrier Recovery -- 5.7.1 Digital Timing Recovery Methods -- 5.7.2 Phase Recovery Using a Decision Directed Feedback Loop -- 5.8 Summary and Discussion -- 5.9 Notes and References -- Chapter 6: Experimental Verifications -- 6.1 Validation Metrics -- 6.1.1 Channel Capacity -- 6.1.2 The Diversity and Correlation Metrics -- 6.1.3 The Demmel Condition Number -- 6.1.4 The Environmental Characterization Metric -- 6.1.5 Correlation Matrix Difference Metric -- 6.2 WMSDR Experimental Setup -- 6.2.1 Terminology -- 6.2.2 Measurement Description -- 6.3 BYU Wideband Channel Sounder Experimental Setup -- 6.3.1 BYU Transmitter Set -- 6.3.2 BYU Receiver Set -- 6.3.3 Measurement Description -- 6.4 Experimental Results -- 6.4.1 Capacity Measure: Methodology -- 6.4.2 Results: MIMO APS and Spatial Structure -- 6.4.3 Results: Wideband Correlation Matrices -- 6.5 Discussion -- 6.5.1 Accuracy of the Results -- 6.5.2 Sources of Error -- 6.6 Summary and Discussion -- 6.7 Notes and References -- Appendix A: An Introduction to Tensor Algebra -- Appendix B: Proof of Theorems from Chapter 3 -- Appendix C: COST 273 Model Summary -- Glossary -- Bibliography -- Index…”

Tabla de Contenidos: “…Getting started -- The program -- The header -- Implementing Google's translation service -- Google Translate from a linguist's perspective -- Playing with the tool -- Linguistic assessment of Google Translate -- AI as a new frontier -- Lexical field and polysemy -- Exploring the frontier - customizing Google Translate with a Python program -- k-nearest neighbor algorithm -- Implementing the KNN algorithm -- The knn_polysemy.py program -- Implementing the KNN function in Google_Translate_Customized.py -- Conclusions on the Google Translate customized experiment -- The disruptive revolutionary loop -- Summary -- Questions -- Further reading -- Chapter 7: Optimizing Blockchains with Naive Bayes -- Part I - the background to blockchain technology -- Mining bitcoins -- Using cryptocurrency -- PART II - using blockchains to share information in a supply chain -- Using blockchains in the supply chain network -- Creating a block -- Exploring the blocks -- Part III - optimizing a supply chain with naive Bayes in a blockchain process -- A naive Bayes example -- The blockchain anticipation novelty -- The goal - optimizing storage levels using blockchain data -- Implementation of naive Bayes in Python -- Gaussian naive Bayes -- Summary -- Questions -- Further reading -- Chapter 8: Solving the XOR Problem with a Feedforward Neural Network -- The original perceptron could not solve the XOR function -- XOR and linearly separable models -- Linearly separable models -- The XOR limit of a linear model, such as the original perceptron -- Building an FNN from scratch -- Step 1 - defining an FNN -- Step 2 - an example of how two children can solve the XOR problem every day -- Implementing a vintage XOR solution in Python with an FNN and backpropagation -- A simplified version of a cost function and gradient descent -- Linear separability was achieved…”

Tabla de Contenidos: “…-- Common MLOps pipelines -- Continuous integration and continuous deployment -- Model monitoring and human-in-the-loop -- MLOps for foundation models -- MLOps for vision -- AWS offerings for MLOps -- A quick introduction to SageMaker Pipelines -- Summary -- References -- Chapter 15: Future Trends in Pretraining Foundation Models -- Techniques for building applications for LLMs -- Building interactive dialogue apps with open-source stacks -- Using RAG to ensure high accuracy in LLM applications -- Is generation the new classification? …”