“…Object relations as a strand within psychoanalysis began with Freud and passed through Ferenczi and Rank, Balint, Suttie, and Klein, to come of age in Fairbairn's papers of the early 1940s. …”

Tabla de Contenidos: “…2.3 Random Shuffling2.4 Creating Game Worlds; 2.4.1 Starmap generation; 2.4.2 Terrain generation; 2.5 Summary; Exercises; 3 Tournaments; 3.1 Rank Adjustment Tournaments; 3.2 Elimination Tournaments; 3.3 Scoring Tournaments; 3.4 Summary; Exercises; 4 Game Trees; 4.1 Minimax; 4.1.1 Analysis; 4.1.2 Partial minimax; 4.2 Alpha-Beta Pruning; 4.2.1 Analysis; 4.2.2 Principal variation search; 4.3 Games of Chance; 4.4 Summary; Exercises; 5 Path Finding; 5.1 Discretization of the Game World; 5.1.1 Grid; 5.1.2 Navigation mesh; 5.2 Finding the Minimum Path; 5.2.1 Evaluation function; 5.2.2 Properties…”

Tabla de Contenidos: “…Ordinal Scales; 4.3.5. Rank Scales; 4.3.6. Interval Scales; 4.3.7. Ratio Scales; 4.4. …”

Tabla de Contenidos: “…Cover -- Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgements -- Chapter 1: Preliminary Background -- Theme of the Book -- Course Contents -- Sources for More Detailed Study -- Directions for Using the Book -- Expected Background -- Preliminary Test -- Prerequisite Problem Sets* -- Problem set 1 -- Problem set 2 -- Problem set 3 -- Problem set 4 -- Problem set 5 -- Problem set 6 -- Chapter 2: Matrices and Linear Transformations -- Matrices -- Geometry and Algebra -- Linear Transformations -- Matrix Terminology -- Exercises -- Chapter 3: Operational Fundamentals of Linear Algebra -- Range and Null Space: Rank and Nullity -- Basis -- Change of Basis -- Elementary Transformations -- Exercises -- Chapter 4: Systems of Linear Equations -- Nature of Solutions -- Basic Idea of Solution Methodology -- Homogeneous Systems -- Pivoting -- Partitioning and Block Operations -- Exercises -- Chapter 5: Gauss Elimination Family of Methods -- Gauss-Jordan Elimination -- Gaussian Elimination with Back-Substitution -- LU Decomposition -- Exercises -- Chapter 6: Special Systems and Special Methods -- Quadratic Forms, Symmetry and Positive Definiteness -- Cholesky Decomposition -- Sparse Systems* -- Exercises -- Chapter 7: Numerical Aspects in Linear Systems -- Norms and Condition Numbers -- Ill-conditioning and Sensitivity -- Rectangular Systems -- Singularity-Robust Solutions -- Iterative Methods -- Exercises -- Chapter 8: Eigenvalues and Eigenvectors -- Eigenvalue Problem -- Generalized Eigenvalue Problem -- Some Basic Theoretical Results -- Eigenvalues of transpose -- Diagonal and block diagonal matrices -- Triangular and block triangular matrices -- Shift theorem -- Deflation -- Eigenspace -- Similarity transformation -- Power Method -- Exercises -- Chapter 9: Diagonalization and Similarity Transformations -- Diagonalizability…”

Tabla de Contenidos: “…; 4.3 SPECIFYING CORRELATIONS; 4.3.1 Pearson Correlation Statistic; 4.3.2 Spearman (Rank) Correlation Statistic; 4.3.3 Using Crystal Ball to Calculate Correlations Between Two Assumptions; 4.3.4 Batch Fit; 4.3.5 Correlation Tool; CHAPTER 5 Using Decision Variables; 5.1 DEFINING DECISION VARIABLES…”

Tabla de Contenidos: “…4.1 Necessity of Data Preparation4.2 From Small and Long to Short and Wide; 4.3 Transformation of Variables; 4.4 Missing Data and Imputation Strategies; 4.5 Outliers; 4.6 Dealing with the Vagaries of Data; 4.6.1 Distributions; 4.6.2 Tests for Normality; 4.6.3 Data with Totally Different Scales; 4.7 Adjusting the Data Distributions; 4.7.1 Standardisation and Normalisation; 4.7.2 Ranking; 4.7.3 Box-Cox Transformation; 4.8 Binning; 4.8.1 Bucket Method; 4.8.2 Analytical Binning for Nominal Variables; 4.8.3 Quantiles; 4.8.4 Binning in Practice; 4.9 Timing Considerations; 4.10 Operational Issues…”

Tabla de Contenidos: “…6.2.2 WordPress SEO by Yoast6.2.3 wpSEO (für WordPress); 6.2.4 Caching-Tools und beschleunigter Seitenaufbau; 6.2.5 Optimierte Linkstrukturen; 6.2.6 Backlinks analysieren; 6.2.7 Sonstige Optimierungstipps; 6.3 Google-Ranking-Updates und ihre Auswirkungen auf die Blog-SEO; 6.4 Organischer Linkaufbau; 6.4.1 SEO und SEM auslagern; 6.5 SEO durch Social Signals; Kapitel 7: Blogleser zu Freunden machen; 7.1 Die Mitwirkung am Blog stärken; 7.1.1 Die Persönlichkeit eines Blogs oder Bloggers; 7.1.2 Interaktive Blogelemente; 7.1.3 Belohnung der (Stamm-)Leser; 7.1.4 Präsenz innerhalb der Blogosphäre…”

Tabla de Contenidos: “…Vector indexing -- Vector libraries -- Vector databases -- Loading and retrieving in LangChain -- Document loaders -- Retrievers in LangChain -- kNN retriever -- PubMed retriever -- Custom retrievers -- Implementing a chatbot -- Document loader -- Vector storage -- Memory -- Conversation buffers -- Remembering conversation summaries -- Storing knowledge graphs -- Combining several memory mechanisms -- Long-term persistence -- Moderating responses -- Summary -- Questions -- Chapter 6: Developing Software with Generative AI -- Software development and AI -- Code LLMs -- Writing code with LLMs -- StarCoder -- StarChat -- Llama 2 -- Small local model -- Automating software development -- Summary -- Questions -- Chapter 7: LLMs for Data Science -- The impact of generative models on data science -- Automated data science -- Data collection -- Visualization and EDA -- Preprocessing and feature extraction -- AutoML -- Using agents to answer data science questions -- Data exploration with LLMs -- Summary -- Questions -- Chapter 8: Customizing LLMs and Their Output -- Conditioning LLMs -- Methods for conditioning -- Reinforcement learning with human feedback -- Low-rank adaptation -- Inference-time conditioning -- Fine-tuning -- Setup for fine-tuning -- Open-source models -- Commercial models -- Prompt engineering -- Prompt techniques -- Zero-shot prompting -- Few-shot learning -- Chain-of-thought prompting -- Self-consistency -- Tree-of-thought -- Summary -- Questions -- Chapter 9: Generative AI in Production -- How to get LLM apps ready for production -- Terminology -- How to evaluate LLM apps -- Comparing two outputs -- Comparing against criteria -- String and semantic comparisons -- Running evaluations against datasets -- How to deploy LLM apps -- FastAPI web server -- Ray -- How to observe LLM apps -- Tracking responses -- Observability tools…”

Tabla de Contenidos: “…Methodology -- 6.2. International rankings -- 6.3. Cybercrime and related legislation -- 6.4. …”

Tabla de Contenidos: “…Preface to the Second Edition xiii -- Preface to the First Edition xv -- 1 DATA-MINING CONCEPTS 1 -- 1.1 Introduction 1 -- 1.2 Data-Mining Roots 4 -- 1.3 Data-Mining Process 6 -- 1.4 Large Data Sets 9 -- 1.5 Data Warehouses for Data Mining 14 -- 1.6 Business Aspects of Data Mining: Why a Data-Mining Project Fails 17 -- 1.7 Organization of This Book 21 -- 1.8 Review Questions and Problems 23 -- 1.9 References for Further Study 24 -- 2 PREPARING THE DATA 26 -- 2.1 Representation of Raw Data 26 -- 2.2 Characteristics of Raw Data 31 -- 2.3 Transformation of Raw Data 33 -- 2.4 Missing Data 36 -- 2.5 Time-Dependent Data 37 -- 2.6 Outlier Analysis 41 -- 2.7 Review Questions and Problems 48 -- 2.8 References for Further Study 51 -- 3 DATA REDUCTION 53 -- 3.1 Dimensions of Large Data Sets 54 -- 3.2 Feature Reduction 56 -- 3.3 Relief Algorithm 66 -- 3.4 Entropy Measure for Ranking Features 68 -- 3.5 PCA 70 -- 3.6 Value Reduction 73 -- 3.7 Feature Discretization: ChiMerge Technique 77 -- 3.8 Case Reduction 80 -- 3.9 Review Questions and Problems 83 -- 3.10 References for Further Study 85 -- 4 LEARNING FROM DATA 87 -- 4.1 Learning Machine 89 -- 4.2 SLT 93 -- 4.3 Types of Learning Methods 99 -- 4.4 Common Learning Tasks 101 -- 4.5 SVMs 105 -- 4.6 kNN: Nearest Neighbor Classifi er 118 -- 4.7 Model Selection versus Generalization 122 -- 4.8 Model Estimation 126 -- 4.9 90% Accuracy: Now What? …”

Tabla de Contenidos: “…Installing PostgreSQL -- Simple search lookups -- Searching against multiple fields -- Building a search view -- Stemming and ranking results -- Weighting queries -- Searching with trigram similarity -- Other full-text search engines -- Summary -- Chapter 4: Building a Social Website -- Creating a social website project -- Starting your social website project -- Using the Django authentication framework -- Creating a login view -- Using Django authentication views -- Login and logout views -- Changing password views -- Resetting password views -- User registration and user profiles -- User registration -- Extending the user model -- Using a custom user model -- Using the messages framework -- Building a custom authentication backend -- Adding social authentication to your site -- Authentication using Facebook -- Authentication using Twitter -- Authentication using Google -- Summary -- Chapter 5: Sharing Content in Your Website -- Creating an image bookmarking website -- Building the image model -- Creating many-to-many relationships -- Registering the image model in the administration site -- Posting content from other websites -- Cleaning form fields -- Overriding the save() method of a ModelForm -- Building a bookmarklet with jQuery -- Creating a detail view for images -- Creating image thumbnails using sorl-thumbnail -- Adding AJAX actions with jQuery -- Loading jQuery -- Cross-Site Request Forgery in AJAX requests -- Performing AJAX requests with jQuery -- Creating custom decorators for your views -- Adding AJAX pagination to your list views -- Summary -- Chapter 6: Tracking User Actions -- Building a follower system -- Creating many-to-many relationships with an intermediary model -- Creating list and detail views for user profiles -- Building an AJAX view to follow users -- Building a generic activity stream application…”

Tabla de Contenidos: “…Understanding additional btree features -- Combined indexes -- Adding functional indexes -- Reducing space consumption -- Adding data while indexing -- Introducing operator classes -- Hacking up an operator class for a btree -- Creating new operators -- Creating operator classes -- Testing custom operator classes -- Understanding PostgreSQL index types -- Hash indexes -- GiST indexes -- Understanding how GiST works -- Extending GiST -- GIN indexes -- Extending GIN -- SP-GiST indexes -- BRIN indexes -- Extending BRIN indexes -- Adding additional indexes -- Achieving better answers with fuzzy searching -- Taking advantage of pg_trgm -- Speeding up LIKE queries -- Handling regular expressions -- Understanding full-text search -- Comparing strings -- Defining GIN indexes -- Debugging your search -- Gathering word statistics -- Taking advantage of exclusion operators -- Summary -- Q&amp -- A -- Chapter 4: Handling Advanced SQL -- Introducing grouping sets -- Loading some sample data -- Applying grouping sets -- Investigating performance -- Combining grouping sets with the FILTER clause -- Making use of ordered sets -- Understanding hypothetical aggregates -- Utilizing windowing functions and analytics -- Partitioning data -- Ordering data inside a window -- Using sliding windows -- Abstracting window clauses -- Making use of on-board windowing functions -- The rank and dense_rank functions -- The ntile() function -- The lead() and lag() functions -- The first_value(), nth_value(), and last_value() functions -- The row_number() function -- Writing your own aggregates -- Creating simple aggregates -- Adding support for parallel queries -- Improving efficiency -- Writing hypothetical aggregates -- Summary -- Chapter 5: Log Files and System Statistics -- Gathering runtime statistics -- Working with PostgreSQL system views -- Checking live traffic…”

Tabla de Contenidos: “…Selecting algorithms based on function -- Using Spark to generate real-time big data analytics -- Chapter 4 Math, Probability, and Statistical Modeling -- Exploring Probability and Inferential Statistics -- Probability distributions -- Conditional probability with Naïve Bayes -- Quantifying Correlation -- Calculating correlation with Pearson's r -- Ranking variable-pairs using Spearman's rank correlation -- Reducing Data Dimensionality with Linear Algebra -- Decomposing data to reduce dimensionality -- Reducing dimensionality with factor analysis -- Decreasing dimensionality and removing outliers with PCA -- Modeling Decisions with Multiple Criteria Decision-Making -- Turning to traditional MCDM -- Focusing on fuzzy MCDM -- Introducing Regression Methods -- Linear regression -- Logistic regression -- Ordinary least squares (OLS) regression methods -- Detecting Outliers -- Analyzing extreme values -- Detecting outliers with univariate analysis -- Detecting outliers with multivariate analysis -- Introducing Time Series Analysis -- Identifying patterns in time series -- Modeling univariate time series data -- Chapter 5 Grouping Your Way into Accurate Predictions -- Starting with Clustering Basics -- Getting to know clustering algorithms -- Examining clustering similarity metrics -- Identifying Clusters in Your Data -- Clustering with the k-means algorithm -- Estimating clusters with kernel density estimation (KDE) -- Clustering with hierarchical algorithms -- Dabbling in the DBScan neighborhood -- Categorizing Data with Decision Tree and Random Forest Algorithms -- Drawing a Line between Clustering and Classification -- Introducing instance-based learning classifiers -- Getting to know classification algorithms -- Making Sense of Data with Nearest Neighbor Analysis -- Classifying Data with Average Nearest Neighbor Algorithms…”

Tabla de Contenidos: “…Using indexes in an intelligent way -- Improving speed using clustered tables -- Clustering tables -- Making use of index only scans -- Understanding additional B-tree features -- Combined indexes -- Adding functional indexes -- Reducing space consumption -- Adding data while indexing -- Introducing operator classes -- Hacking up an operator class for a B-tree -- Creating new operators -- Creating operator classes -- Testing custom operator classes -- Understanding PostgreSQL index types -- Hash indexes -- GiST indexes -- Understanding how GiST works -- Extending GiST -- GIN indexes -- Extending GIN -- SP-GiST indexes -- BRIN indexes -- Extending BRIN indexes -- Adding additional indexes -- Achieving better answers with fuzzy searching -- Taking advantage of pg_trgm -- Speed up LIKE queries -- Handling regular expressions -- Understanding full-text search - FTS -- Comparing strings -- Defining GIN indexes -- Debugging your search -- Gathering word statistics -- Taking advantage of exclusion operators -- Summary -- Chapter 4: Handling Advanced SQL -- Introducing grouping sets -- Loading some sample data -- Applying grouping sets -- Investigating performance -- Combining grouping sets with the FILTER clause -- Making use of ordered sets -- Understanding hypothetical aggregates -- Utilizing windowing functions and analytics -- Partitioning data -- Ordering data inside a window -- Using sliding windows -- Abstracting window clauses -- Making use of onboard windowing functions -- rank and dense_rank functions -- ntile() function -- lead() and lag() functions -- first_value(), nth_value(), and last_value() functions -- row_number() function -- Writing your own aggregates -- Creating simple aggregates -- Adding support for parallel queries -- Improving efficiency -- Writing hypothetical aggregates -- Summary -- Chapter 5: Log Files and System Statistics…”

Tabla de Contenidos: “…Ten Versions of `O Lied' -- POEMS AND TRANSLATIONS -- Poems in chronological order (*previously unpublished translation) -- 1848 -- De Mandelbeke -- The Mandel Stream (fragment, Swepstone) -- 1852 -- Aanroepinge -- Reply in Verses (Van Eyken)* -- 1855 -- Boodschap van de vogels en andere opgezette dieren -- Message from the Birds and Other Stuffed Animals (Van Eyken)* -- De averulle en de blomme -- The Cockchafer and the Flower (Vincent)* -- Timpe, tompe, terelink -- Hyder Iddle Diddle Dum (Lovelock)* -- 1857 -- Het schrijverke (Gyrinus natans) -- The Watter-Scriever (Gyrinus natans) (Morgan) -- O'truischen van het ranke riet -- Oh! The Rustling of the Slender Reed (Swepstone) -- Aan de leeuwerke in de lucht -- To the Lark in the Sky (Vincent)* -- 1858 -- Ik droome alree -- I Dream E'en Now (Vincent)* -- Een bonke keerzen kind -- A Bunch of Cherries, Child (Holmes) -- Dien avond en die rooze -- That Evening and That Rose (Stillman) --…”

Tabla de Contenidos: “…Eigenvector centrality; 1.4.8. Page rank; 1.4.9. Clustering d'un node; 1.5. L'estructura de les xarxes; 1.5.1. …”

Tabla de Contenidos: “…1 - Second General Artificial Intelligence Workshop (GAIW 2007) -- Towards Tractable Local Closed World Reasoning for the Semantic Web -- Optimal Brain Surgeon for General Dynamic Neural Networks -- Answer-Set Programming Based Dynamic User Modelling for Recommender Systems -- Application of Logic Wrappers to Hierarchical Data Extraction from HTML -- Relaxing Feature Selection in Spam Filtering by Using Case-Based Reasoning Systems -- Gödel and Computability -- Prospective Logic Agents -- An Iterative Process for Building Learning Curves and Predicting Relative Performance of Classifiers -- Modelling Morality with Prospective Logic -- Change Detection in Learning Histograms from Data Streams -- Real-Time Intelligent Decision Support System for Bridges Structures Behavior Prediction -- Semi-fuzzy Splitting in Online Divisive-Agglomerative Clustering -- On the Use of Rough Sets for User Authentication Via Keystroke Dynamics -- The Halt Condition in Genetic Programming -- Two Puzzles Concerning Measures of Uncertainty and the Positive Boolean Connectives -- 2 - First Workshop on AI Applications for Sustainable Transportation Systems (AIASTS 2007) -- Nonlinear Models for Determining Mode Choice -- Adaptation in Games with Many Co-evolving Agents -- 3 - Third Workshop on Artificial Life and Evolutionary Algorithms (ALEA 2007) -- Symmetry at the Genotypic Level and the Simple Inversion Operator -- A Genetic Programming Approach to the Generation of Hyper-Heuristics for the Incapacitated Examination Timetabling Problem -- Asynchronous Stochastic Dynamics and the Spatial Prisoner’s Dilemma Game -- Improving Evolutionary Algorithms with Scouting -- Stochastic Barycenters and Beta Distribution for Gaussian Particle Swarms -- Exploiting Second Order Information in Computational Multi-objective Evolutionary Optimization -- 4 - First Workshop on Ambient Intelligence Technologies and Applications (AMITA 2007) -- Ambient Intelligence – A State of the Art from Artificial Intelligence Perspective -- Ubiquitous Ambient Intelligence in a Flight Decision Assistance System -- Argumentation-Based Decision Making in Ambient Intelligence Environments -- Intelligent Mixed Reality for the Creation of Ambient Assisted Living -- Medical Imaging Environment – A Multi-Agent System for a Computer Clustering Based Multi-display -- 5 - Second Workshop on Building and Applying Ontologies for the Semantic Web (BAOSW 2007) -- Partial and Dynamic Ontology Mapping Model in Dialogs of Agents -- Using Ontologies for Software Development Knowledge Reuse -- 6 - First Workshop on Business Intelligence (BI 2007) -- Analysis of the Day-of-the-Week Anomaly for the Case of Emerging Stock Market -- A Metamorphosis Algorithm for the Optimization of a Multi-node OLAP System -- Experiments for the Number of Clusters in K-Means -- A Network Algorithm to Discover Sequential Patterns -- Adaptive Decision Support for Intensive Care -- A Tool for Interactive Subgroup Discovery Using Distribution Rules -- Quantitative Evaluation of Clustering’s for Marketing Applications: A Web Portal Case Study -- Resource-Bounded Fraud Detection -- 7 - First Workshop on Computational Methods in Bioinformatics and Systems Biology (CMBSB 2007) -- System Stability Via Stepping Optimal Control: Theory and Applications -- Evaluating Simulated Annealing Algorithms in the Optimization of Bacterial Strains -- Feature Extraction from Tumor Gene Expression Profiles Using DCT and DFT -- 8 - Second Workshop on Intelligent Robotics (IROBOT 2007) -- An Omnidirectional Vision System for Soccer Robots -- Generalization and Transfer Learning in Noise-Affected Robot Navigation Tasks -- Heuristic Q-Learning Soccer Players: A New Reinforcement Learning Approach to RoboCup Simulation -- Human Robot Interaction Based on Bayesian Analysis of Human Movements -- Understanding Dynamic Agent’s Reasoning -- 9 - Fourth Workshop on Multi-agent Systems: Theory and Applications (MASTA 2007) -- Convergence of Independent Adaptive Learners -- Multi-agent Learning: How to Interact to Improve Collective Results -- A Basis for an Exchange Value-Based Operational Notion of Morality for Multiagent Systems -- Intelligent Farmer Agent for Multi-agent Ecological Simulations Optimization -- Tax Compliance Through MABS: The Case of Indirect Taxes -- 10 - First Workshop on Search Techniques for Constraint Satisfaction (STCS 2007) -- Efficient and Tight Upper Bounds for Haplotype Inference by Pure Parsimony Using Delayed Haplotype Selection -- GRASPER -- 11 - Second Workshop on Text Mining and Applications (TEMA 2007) -- Text Segmentation Using Context Overlap -- Automatic Extraction of Definitions in Portuguese: A Rule-Based Approach -- N-Grams and Morphological Normalization in Text Classification: A Comparison on a Croatian-English Parallel Corpus -- Detection of Strange and Wrong Automatic Part-of-Speech Tagging -- New Techniques for Relevant Word Ranking and Extraction…”

Tabla de Contenidos: “…-- Writing a more complex program -- Packages and Cargo -- Cargo package layout -- Using third-party crates -- Tools and getting help -- Tools -- Text editor -- Getting help and documentation -- Summary -- Chapter 2: Building Our First Rocket Web Application -- Technical requirements -- Introducing Rocket - a web framework written in the Rust language -- The HTTP request life cycle in Rocket -- Rocket launch sequence -- Creating our first Rocket web application -- An asynchronous application -- Configuring our Rocket web application -- Starting the Rocket application in different profiles -- Configuring the Rocket web application -- Configuring the Rocket application using Rocket.toml -- Overriding the configuration with environment variables -- Getting help -- Summary -- Chapter 3: Rocket Requests and Responses -- Technical requirements -- Understanding Rocket routes -- HTTP methods -- URI -- Path -- Query -- Rank -- Format -- Data -- Implementing route handlers -- Creating responses -- Wrapping Responder -- Built-in implementations -- Making default error catchers -- Summary -- Chapter 4: Building, Igniting, and Launching Rocket -- Technical requirements -- Managing state -- Working with a database -- Attaching Rocket fairings -- Rocket phases -- Fairing callbacks -- Implementing and attaching fairings…”

Tabla de Contenidos: “…Front Cover; Fossil Fuel Emissions Control Technologies; Copyright Page; Dedication; Contents; Preface; 1 Introduction; 1.1 Organization of this book; 1.2 Overview of energy usage in the United States; 1.3 Fossil fuel usage in boilers for heat and power production; 1.4 Characteristics and composition of fossil fuels; 1.4.1 Coal; 1.4.1.1 Introduction to coal; 1.4.1.2 Coal classification; 1.4.1.2.1 Basic coal analysis; 1.4.1.2.2 Coal rank; 1.4.1.2.3 Coal type; 1.4.1.2.4 Coal grade; 1.4.1.2.5 Classification systems; 1.4.1.2.5.1 The ASTM classification system…”

Tabla de Contenidos: “…Ecosystem value -- Measuring success -- Chapter summary -- CHAPTER 6 Systems of intelligence -- The rise of machine learning -- Supervised learning -- Unsupervised learning -- Reinforcement learning -- The perfect companion to your data -- Five crucial factors in applying AI successfully -- Creating a system of intelligence -- Understand -- Identify -- Rank and plan -- Execute and monitor -- Assembling your team -- The five Vs of big data -- Constructing a highly defensible moat -- Vertical expertise -- Personalisation at scale -- Man and machine -- Network intelligence -- Integration intelligence -- Chapter summary -- Part III Accelerating change -- CHAPTER 7 Investment management -- The three types of innovation -- Disruptive innovation -- Sustaining innovation -- Efficiency-BASE D innovation -- Balancing short-term returns and long-term investments -- The investor's mindset -- Create a culture of innovation -- Move faster -- Encourage investment efficiency -- Chapter summary -- CHAPTER 8 Technology risk management -- Navigating the new rules of cybersecurity…”