Tabla de Contenidos: “…-- Übungen -- Kapitel 3: Klassifikation -- MNIST -- Trainieren eines binären Klassifikators -- Qualitätsmaße -- Messen der Genauigkeit über Kreuzvalidierung -- Konfusionsmatrix -- Relevanz und Sensitivität -- Die Wechselbeziehung zwischen Relevanz und Sensitivität -- Die ROC-Kurve -- Klassifikatoren mit mehreren Kategorien -- Fehleranalyse -- Klassifikation mit mehreren Labels -- Klassifikation mit mehreren Ausgaben -- Übungen -- Kapitel 4: Trainieren von Modellen -- Lineare Regression -- Die Normalengleichung -- Komplexität der Berechnung -- Das Gradientenverfahren -- Batch-Gradientenverfahren -- Stochastisches Gradientenverfahren -- Mini-Batch-Gradientenverfahren -- Polynomielle Regression -- Lernkurven -- Regularisierte lineare Modelle -- Ridge-Regression -- Lasso-Regression -- Elastic Net -- Early Stopping -- Logistische Regression -- Abschätzen von Wahrscheinlichkeiten -- Trainieren und Kostenfunktion -- Entscheidungsgrenzen -- Softmax-Regression -- Übungen -- Kapitel 5: Support Vector Machines -- Lineare Klassifikation mit SVMs -- Soft-Margin-Klassifikation -- Nichtlineare SVM-Klassifikation -- Polynomieller Kernel -- Ähnlichkeitsbasierte Merkmale -- Der gaußsche RBF-Kernel -- Komplexität der Berechnung -- SVM-Regression -- Hinter den Kulissen -- Entscheidungsfunktion und Vorhersagen -- Zielfunktionen beim Trainieren -- Quadratische Programme -- Das duale Problem -- Kernel-SVM -- Online-SVMs -- Übungen -- Kapitel 6: Entscheidungsbäume -- Trainieren und Visualisieren eines Entscheidungsbaums -- Vorhersagen treffen -- Schätzen von Wahrscheinlichkeiten für Kategorien -- Der CART-Trainingsalgorithmus -- Komplexität der Berechnung -- Gini-Unreinheit oder Entropie? …”

Tabla de Contenidos: “…-- Frame rate -- Shutter speed -- Banding -- White balance -- Codecs -- Containers -- Review - getting all the settings right -- Choosing a camera -- An iPhone (or any other mobile phone) -- A DSLR or mirrorless camera -- A high-end camera -- An action camera or drone -- A 360° camera -- Audio equipment -- Other accessories -- Review - choosing a camera and audio equipment -- Shooting the right shots -- A-roll -- B-roll -- Movement -- Focus pulling -- Different perspectives -- Framing -- Review - shooting the right shots -- Working with multiple cameras and audio recorders -- Conference presentations -- Interviews -- Physical movement -- Weddings and live events -- Review - working with multiple cameras and audio recorders -- Managing everything on set -- Review - managing everything on set -- Summary -- Review questions -- Review answers -- Chapter 3: Bring It In: Importing Your Footage -- Creating a Library (in the right place) -- Creating and naming a Library -- Deciding where to store media…”

Tabla de Contenidos: “…-- I have my libraries. How do I promote them?…”

Tabla de Contenidos: “…-- The history and evolution of natural language processing -- Initial strategies in the machine processing of natural language -- A winning synergy - the coming together of NLP and ML -- Introduction to math and statistics in NLP -- Understanding language models - ChatGPT example -- Summary -- Questions and answers -- Chapter 2: Linear Algebra, Probability and Statistics, and Estimation for Machine Learning and Natur -- Introduction to linear algebra -- Basic operations on matrices and vectors -- Matrix definitions -- Eigenvalues and eigenvectors -- Numerical methods for finding eigenvectors -- Eigenvalue decomposition -- Singular value decomposition -- Basic probability for machine learning -- Statistically independent -- Discrete random variables and their distribution -- Probability density function -- Bayesian estimation -- Summary -- Further reading -- References -- Chapter 3: Machine Learning for Natural Language Processing -- Technical requirements -- Data exploration -- Data visualization -- Data cleaning -- Feature selection -- Feature engineering -- Common machine learning models -- Linear regression -- Logistic regression -- Decision trees -- Random forest -- Support vector machines (SVMs) -- Neural networks and transformers -- Model underfitting and overfitting -- Splitting data -- Hyperparameter tuning -- Ensemble models -- Bagging -- Boosting -- Stacking -- Random forests -- Gradient boosting -- Handling imbalanced data -- SMOTE -- The NearMiss algorithm -- Cost-sensitive learning -- Data augmentation -- Dealing with correlated data -- Summary -- References…”

Tabla de Contenidos: “…. -- Summary -- References -- Chapter 6: Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico - Part 2 -- Technical requirements -- Computing the FFT magnitude with fixed-point arithmetic using the CMSIS-DSP library -- Getting ready -- Evaluating the hardware capabilities of the Raspberry Pi Pico -- Using the CMSIS-DSP Python library -- Representing numbers in 16-bit fixed-point format -- How to do it... -- There's more... -- Implementing the MFCCs feature extraction with the CMSIS-DSP library -- Getting ready -- Extracting the DCT coefficients -- How to do it... -- There's more... -- Designing and training an LSTM RNN model -- Getting ready -- Time series analysis with RNNs -- Designing a many-to-one RNN for music genre classification -- How to do it... -- There's more... -- Evaluating the accuracy of the quantized model on the test dataset -- Getting ready -- How to do it... -- There's more... -- Deploying the MFCCs feature extraction algorithm on the Raspberry Pi Pico -- Getting ready -- How to do it... -- There's more...with the SparkFun Artemis Nano! …”

Tabla de Contenidos: “…-- Risk functions -- There are many loss functions -- Different loss functions = different end results -- Loss functions for anything -- A loss function by any other name -- What we learned -- Least Squares -- The squared-loss function -- OLS regression -- OLS, outliers, and robust regression -- What we learned -- Linear models -- Practical issues -- The model residuals -- OLS regression code example -- What we learned -- Gradient descent -- Locating the minimum of a simple risk function -- Gradient descent code example -- Gradient descent is a general technique -- Beyond simple gradient descent -- What we learned -- Summary -- Exercises -- Chapter 5: Probabilistic Modeling…”

Tabla de Contenidos: “….; House of Arts and Culture / JSa - Javier Sánchez ; Kristiansund Opera and Culture House / Terry Pawson Architects ; Centre Eurorégional des cultures urbaines et extension de la Maison Folie de Moulins / L'atelier d'architecture King Kong ; Green Hole / AIA ; School Rendu Floirac / Sylviane Ferron & Eric Monnereau ; Fallingwater cabin design competition / Olson Kundig Architects; Centro escolar de Vagos / José Castro Silva ; Flesberg Kommune Skole / Ola Roald AS Arkitektur ; Minakata Kumagusu Institute / Teruo Miyahara Architect Office ; Stockholm City Library Extension / Jonathan Woolf ; Biblioteca pública del estado en Barcelona / AIA ; Biblioteca José Vasconcelos / Pascal Arquitectos ; Hafnafjördur Public Library extensión and refurbishment / Studio Granada ; Astana National Library / BIG - Bjarke Ingels Group ; Neubau Fachhochschule Düsseldorf / Bob Gysin + Partner BGP Architekten ETH SIA BSA ; India National Centre for Antarctic and Ocean Research / Ferraro Choi and Associates ; Zentrum für Molekulare Biowissenschaften / DI Ernst Giselbrecht + Partner ZT GmbH ; UTS Faculty of engineering and IT building (COLAB) / Suters Architects ; Ars Electronica Center / Caramel architekten ZT GMBH ; Solar pavilion and environs (TETRAS) / Roger F. …”

Tabla de Contenidos: “…LOS COMPLEMENTOS FINALES COMO CONSTITUYENTES OBLIGATORIOS Y OPTATIVOS EN LA ESTRUCTURA ORACIONAL; DOS NIVELES DE INDAGACIÓN LINGÜÍSTICA: EL TEXTO Y LA ORACIÓN; 7.1. EL HABLAR COMO ACTIVIDAD LINGÜÍSTICA; 7.2. EL NIVEL TEXTUAL; 7.3. …”

Tabla de Contenidos: “…EL DESPIDO O LA VIOLENCIA DEL PODER PRIVADO; PÁGINA LEGAL; ÍNDICE GENERAL; PRÓLOGO; PRESENTACIÓN; ABREVIATURAS MÁS FRECUENTES; ECONOMÍA, SOCIEDAD Y POLÍTICA EN EL DESPIDO; 1. HABLAR SOBRE EL DESPIDO DESDE DENTRO Y DESDE FUERA DE LA TÉCNICA JURÍDICA A LA VEZ; 2. …”

Tabla de Contenidos: “…REMARQUES CONCLUSIVES; 2. LIBERA CIRCOLAZIONE DEI SERVIZI E RISCHI DI DUMPING SOCIALE: I (...); I. …”
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Tabla de Contenidos: “…Capitulo XX SI LAS FORTALEZAS, Y MUCHAS OTRAS COSAS QUE LOS PRINCIPES HACEN CON FRECUENCIA SON UTI- LES O NO Capitulo XXI COMO DEBE COMPORTARSE UN PRINCIPE PARA SER ESTIMADO ; Capitulo XXII DE LOS SECRETARIOS DEL PRINCIPE; Capitulo XXIII COMO HUIR DE LOS ADULADORES ; Capitulo XXIV POR QUE LOS PRINCIPES DE ITALIA PERDIERON SUS ESTADOS ; Capitulo XXV DEL PODER DE LA FORTUNADE LAS COSAS HUMANAS Y DE LOS MEDIOS PARA OPONERSELE ; Capitulo XXVI EXHORTACION A LIBERAR A ITALIA DE LOS BARBAROS…”

Tabla de Contenidos:

Tabla de Contenidos: “…LA JUSTICIA ECONÓMICA GLOBAL ANTE LA VUELTA A LA ECONOMÍA DE LA GRAN DEPRESIÓN; LA CRISIS ACTUAL DE LA ECONOMÍA MUNDIAL; LA CRISIS DE LOS PAÍSES EMERGENTES DEL SUDESTE ASIÁTICO Y SUS CONSECUENCIAS EN LOS PAÍSES DESARROLLADOS; LA TRANSFORMACIÓN DE LA ESTRUCTURA ORGANIZATIVA DE LAS EMPRESAS Y LAS CONSECUENCIAS NEGATIVAS PARA LOS ASALARIADOS; LA BURBUJA HIPOTECARIA Y EL RETORNO DE LA ECONOMÍA DE LA GRAN DEPRESIÓN; ¿ES POSIBLE HABLAR DE JUSTICIA ECONÓMICA GLOBAL?; EPÍLOGO. ¿HACIA UN CONSTITUCIONALISMO GLOBAL-COSMOPOLITA?…”

Tabla de Contenidos: “…RIESGOS Y POSIBILIDADES -- 4. ¿PUEDEN HABLAR LOS SUBALTERNOS? -- 5. AGENCIA Y MICRORRESISTENCIAS -- 6. …”

Tabla de Contenidos: “…RENDIMIENTO DEL EQUIPO -- Lidiar/trabajar con preferencias en el equipo -- Personalidades del quipo -- Evaluacion del equipo -- Desarrollo del equipo…”

Tabla de Contenidos: “…Bernstein ; Response / Hana Eshel -- On the origins of the genre of the "literary testament" : farewell discourses in the Qumran library and their relevance for the history of the genre / Jörg Frei ; Response / Daniel Stökl Ben Ezra -- pt. 4. …”
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Tabla de Contenidos: “…Chapter 37: Integrated Library Systems (ILS)Chapter 38: Online Public Access Catalogs (OPACs); Chapter 39: Internet Filtering Software and Its Effects; Chapter 40: Personal Bibliographic Systems (PBS); Chapter 41: Collection Management Systems; Chapter 42: Interactive Multimedia in Museums; Chapter 43: Museum Web Sites and Digital Collections; Part IV: Standards for Information Retrieval Systems; Chapter 44: Digital Object Identifier (DOI®) System; Chapter 45: Data Transmission Protocols; Chapter 46: Information Retrieval Protocols: Z39.50 and Search & Retrieve via URL…”

Tabla de Contenidos: “…Using Computer Tools for Modeling and Simulation Seeing the Big Picture; Chapter 2: Brushing Up on Math; Revealing Unknowns with Algebra; Making Nice Signal Models with Trig Functions; Manipulating Numbers: Essential Complex Arithmetic; Catching Up with Calculus; Finding Polynomial Roots; Chapter 3: Continuous-Time Signals and Systems; Considering Signal Types; Getting Hip to Signal Classifications; Transforming Simple Signals; Checking Out System Properties; Choosing Linear and Time-Invariant Systems; Chapter 4: Discrete-Time Signals and Systems; Exploring Signal Types…”

Tabla de Contenidos: “…COSCH case studies -- An interdisciplinary discussion of the terminologies used in cultural heritage research / Vera Moitinho de Almeida, Stefanie Wefers, and Orla Murphy -- From a buried fragment to the virtual artefact: a case study of Greek pottery / Despoina Tsiafaki, Anestis Koutsoudis, Natasa Michailidou, and Fotis Arnaoutoglou -- Beyond photography: an interdisciplinary, exploratory case study in the recording and examination of Roman silver coins / Anna Bentkowska-Kafel, Vera Moitinho de Almeida, Lindsay MacDonald, Julio M. del Hoyo-Meléndez, and Aurore Mathys -- Wall paintings in the Château de Germolles: an interdisciplinary project for the rediscovery of a unique fourteenth-century decoration / Christian Degrigny and Francesca Piqué with contributions from Marco Cucchi, Vincent Detalle, Jean-Philippe Farrugia, Gaëtan Le Goïc, Alamin Mansouri, Dominique Martos-Levif, Frédéric Mérienne, Aurélie Mounier, Anthony Pamart, Cristina Tedeschi, Jean-Marc Vallet, and Stefanie Wefers -- A 4d virtual presentation of the White Bastion Fortress in Sarajevo / Selma Rizvic -- Digitization of cultural heritage at the National Museum of Romanian History, Bucharest / Irina Mihaela Ciortan -- Bremen Cog: three recording techniques for one object / Amandine Colson and Levente Tamas -- A study of spectral imaging acquisition and processing for cultural heritage / Sony George, Jon Y. Hardeberg, João Linhares, Lindsay MacDonald, Cristina Montagner, Sérgio Nascimento, Marcello Picollo, Ruven Pillay, Tatiana Vitorino, and E. …”

Tabla de Contenidos: “…Kernel SVR and Different Loss Functions: Mathematical Model and Graphical RepresentationBayesian Linear Regression; Asymmetrical SVR for Power Prediction: Case Study; References; Chapter 5: Hidden Markov Model; Discrete Markov Process; Definition 1; Definition 2; Definition 3; Introduction to the Hidden Markov Model; Essentials of the Hidden Markov Model; The Three Basic Problems of HMM; Solutions to the Three Basic Problems of HMM; Solution to Problem 1; Forward Algorithm; Backward Algorithm; Scaling; Solution to Problem 2; Initialization; Recursion; Termination; State Sequence Backtracking…”