“…The reggeization of the gluon is demonstrated and used to build the Pomeron of perturbative QCD. …”

Tabla de Contenidos: “…. -- Getting started with GluonTS -- Getting ready -- How to do it... -- How it works... -- Training a DeepAR model with GluonTS -- Getting ready -- How to do it... -- How it works... -- There's more... -- Training a Transformer model with NeuralForecast -- Getting ready -- How to do it... -- How it works... -- There's more... -- Training a Temporal Fusion Transformer with GluonTS -- Getting ready -- How to do it... -- How it works... -- There's more... -- Training an Informer model with NeuralForecast -- Getting ready -- How to do it... -- How it works... -- There's more... -- Comparing different Transformers with NeuralForecast -- Getting ready -- How to do it... -- How it works... -- Chapter 7: Probabilistic Time Series Forecasting -- Technical requirements -- Introduction to exceedance probability forecasting -- Getting ready -- How to do it... -- How it works... -- There's more... -- Exceedance probability forecasting with an LSTM -- Getting ready -- How to do it... -- How it works... -- There's more... -- Creating prediction intervals using conformal prediction -- Getting ready -- How to do it... -- How it works... -- Probabilistic forecasting with an LSTM -- Getting ready -- How to do it... -- How it works... -- Probabilistic forecasting with DeepAR -- Getting ready -- How to do it... -- How it works... -- Introduction to Gaussian Processes -- Getting ready -- How to do it... -- How it works... -- Using Prophet for probabilistic forecasting -- Getting ready -- How to do it... -- How it works... -- There's more... -- Chapter 8: Deep Learning for Time Series Classification -- Technical requirements -- Tackling TSC with K-nearest neighbors -- Getting ready -- How to do it... -- How it works... -- There's more... -- Building a DataModule class for TSC -- Getting ready -- How to do it...…”

Tabla de Contenidos: “…-- How ML engineers can get the most out of AWS -- Essential prerequisites -- Creating the Cloud9 environment -- Increasing Cloud9's storage -- Installing the Python prerequisites -- Preparing the dataset -- Generating a synthetic dataset using a deep learning model -- Exploratory data analysis -- Train-test split -- Uploading the dataset to Amazon S3 -- AutoML with AutoGluon -- Setting up and installing AutoGluon -- Performing your first AutoGluon AutoML experiment -- Getting started with SageMaker and SageMaker Studio -- Onboarding with SageMaker Studio -- Adding a user to an existing SageMaker Domain -- No-code machine learning with SageMaker Canvas -- AutoML with SageMaker Autopilot -- Summary -- Further reading -- Chapter 2: Deep Learning AMIs -- Technical requirements -- Getting started with Deep Learning AMIs -- Launching an EC2 instance using a Deep Learning AMI -- Locating the framework-specific DLAMI -- Choosing the instance type -- Ensuring a default secure configuration -- Launching the instance and connecting to it using EC2 Instance Connect -- Downloading the sample dataset -- Training an ML model -- Loading and evaluating the model -- Cleaning up -- Understanding how AWS pricing works for EC2 instances -- Using multiple smaller instances to reduce the overall cost of running ML workloads -- Using spot instances to reduce the cost of running training jobs -- Summary -- Further reading -- Chapter 3: Deep Learning Containers -- Technical requirements -- Getting started with AWS Deep Learning Containers -- Essential prerequisites…”

“…Topics covered include: functional integral representation of the partition function, diagrammatic expansions, linear response theory, screening and plasma oscillations, spontaneous symmetry breaking, Goldstone theorem, resummation and hard thermal loops, lattice gauge theory, phase transitions, nucleation theory, quark-gluon plasma, and color superconductivity. Applications to astrophysics and cosmology cover white dwarf and neutron stars, neutrino emissivity, baryon number violation in the early universe, and cosmological phase transitions. …”

“…New to this edition are examples of creating stylized text and loading custom fonts, guidance for working with Scene Builder to create visual layouts, and new content on developing iOS and Android applications using Gluon mobile. The book also covers advanced topics such as custom controls, JavaFX 3D, gesture devices, printing, and animation. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Foreword -- Contributors -- Table of Contents -- Preface -- Part 1 - Introduction to Explainable Deep Learning Anomaly Detection -- Chapter 1: Understanding Deep Learning Anomaly Detection -- Technical Requirements -- Exploring types of anomalies -- Discovering real-world use cases -- Detecting fraud -- Predicting industrial maintenance -- Diagnosing medical conditions -- Monitoring cybersecurity threats -- Reducing environmental impact -- Recommending financial strategies -- Considering when to use deep learning and what for -- Understanding challenges and opportunities -- Summary -- Chapter 2: Understanding Explainable AI -- Understanding the basics of XAI -- Differentiating explainability versus interpretability -- Contextualizing stakeholder needs -- Implementing XAI -- Reviewing XAI significance -- Considering the right to explanation -- Driving inclusion with XAI -- Mitigating business risks -- Choosing XAI techniques -- Summary -- Part 2 - Building an Explainable Deep Learning Anomaly Detector -- Chapter 3: Natural Language Processing Anomaly Explainability -- Technical requirements -- Understanding natural language processing -- Reviewing AutoGluon -- Problem -- Solution walk-through -- Exercise -- Chapter 4: Time Series Anomaly Explainability -- Understanding time series -- Understanding explainable deep anomaly detection for time series -- Technical requirements -- The problem -- Solution walkthrough -- Exercise -- Summary -- Chapter 5: Computer Vision Anomaly Explainability -- Reviewing visual anomaly detection -- Reviewing image-level visual anomaly detection -- Reviewing pixel-level visual anomaly detection -- Integrating deep visual anomaly detection with XAI -- Technical requirements -- Problem -- Solution walkthrough -- Exercise -- Summary…”

Tabla de Contenidos: “…. -- Defining networks using simple and efficient code with Gluon -- How to do it... -- Chapter 2: Feed-Forward Neural Networks -- Introduction -- Understanding the perceptron -- How to do it... -- Implementing a single-layer neural network -- How to do it... -- Building a multi-layer neural network -- How to do it... -- Getting started with activation functions -- How to do it... -- Experiment with hidden layers and hidden units -- How to do it... -- There's more... -- Implementing an autoencoder -- How to do it... -- Tuning the loss function -- How to do it... -- Experimenting with different optimizers -- How to do it... -- Improving generalization with regularization -- How to do it... -- Adding dropout to prevent overfitting -- How to do it…”

Tabla de Contenidos: “…7.3 The Maxwell field Aμ(x) -- 7.3.1 The classical field case -- 7.3.2 Quantizing Aμ(x) -- 7.4 Introduction of electromagnetic interactions -- 7.5 P, C and T in quantum field theory -- 7.5.1 Parity -- 7.5.2 Charge conjugation -- 7.5.3 Time reversal -- Problems -- III Tree-Level Applications in QED -- 8 Elementary Processes in Scalar and Spinor Electrodynamics -- 8.1 Coulomb scattering of charged spin-0 particles -- 8.1.1 Coulomb scattering of s+ (wavefunction approach) -- 8.1.2 Coulomb scattering of s+ (field-theoretic approach) -- 8.1.3 Coulomb scattering of s− -- 8.2 Coulomb scattering of charged spin-1⁄2 particles -- 8.2.1 Coulomb scattering of e− (wavefunction approach) -- 8.2.2 Coulomb scattering of e−(field-theoretic approach) -- 8.2.3 Trace techniques for spin summations -- 8.2.4 Coulomb scattering of e+ -- 8.3 e−s+ scattering -- 8.3.1 The amplitude for e−s+ e−s+ -- 8.3.2 The cross section for e−s+ e−s+ -- 8.4 Scattering from a non-point-like object: the pion form factor in e−π+ e−π+ -- 8.4.1 e− scattering from a charge distribution -- 8.4.2 Lorentz invariance -- 8.4.3 Current conservation -- 8.5 The form factor in the time-like region: e+e− π+π− and crossing symmetry -- 8.6 Electron Compton scattering -- 8.6.1 The lowest-order amplitudes -- 8.6.2 Gauge invariance -- 8.6.3 The Compton cross section -- 8.7 Electronmuon elastic scattering -- 8.8 Electron-proton elastic scattering and nucleon form factors -- 8.8.1 Lorentz invariance -- 8.8.2 Current conservation -- Problems -- 9 Deep Inelastic Electron-Nucleon Scattering and the Parton Model -- 9.1 Inelastic electron-proton scattering: kinematics and structure functions -- 9.2 Bjorken scaling and the parton model -- 9.3 Partons as quarks and gluons -- 9.4 The Drell-Yan process -- 9.5 e+e− annihilation into hadrons -- Problems -- IV Loops and Renormalization…”

“…Quantum chromodynamics is a quantum field theory that describes strong interactions between quarks and gluons. It is the SU(3) gauge theory of the current Standard Model for elementary particles and forces. …”

“…Fundamental concepts such as 'triviality' of Higgs fields and confinement of quarks and gluons into hadrons are described and illustrated with the results of numerical simulations. …”

“…About the Author Johan Vos is a cofounder of Gluon, a Java technology company. He is a Java Champion and holds an MSc in Mining Engineering and a PhD in Applied Physics. …”