Lectures related to Actor Failure Handling

The Actor Model: Principles of Reactive Programming

Covers the Actor Model, emphasizing asynchronous message passing and changing an Actor's behavior.

The Actor Model: Principles of Reactive Programming

Introduces the Actor Model, explaining actors' identity, behavior, and asynchronous message passing.

Lifecycle Monitoring and The Error Kernel

Covers lifecycle monitoring, error handling, and fault tolerance in reactive programming.

Decision Tree Classification

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Structured Classifications: Decision Trees and Boosting

Explores decision trees, overfitting elimination, boosting techniques, and their practical applications in predictive modeling.

Actor Messaging Semantics

Covers the semantics of message processing in Akka actors, emphasizing actor encapsulation and collaboration.

Distributed Actors: Cluster Management

Explores distributed actor management in clusters, emphasizing consensus, failure detection, and lifecycle monitoring.

Thermodynamic Properties: Equations and Models

Explains thermodynamic properties, equations of state, and mixture rules for energy systems modeling.

Distributed Actor Communication

Explores the impact of network communication on actors and covers distributed actor communication, clusters formation, and remote deployment.

Optimisation in Energy Systems

Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.

Introduction to Supervised Learning and Decision Theory

Covers supervised learning, decision theory, risk minimization, and goal achievement.

Distribution Estimation

Covers the estimation of distributions using samples and probability models.

Message Processing Semantics

Explores the principles of reactive programming and message processing semantics in Akka, emphasizing actor encapsulation, reliable messaging, and message delivery guarantees.

Tree-Structured Indexing: B+ Trees Explained

Covers B+ Trees, a key data structure for efficient indexing in databases.

Ethics and Law of AI

Delves into ethics and law in AI, focusing on values, normative ambitions, and ethical challenges.

Environmental Legislation and Construction Law

Explores environmental legislation, construction law, polluted sites, and cost responsibilities.

Building a Decision Tree

Covers building decision trees to classify mushrooms as poisonous or not.

Statistical Theory: Cramér-Rao Bound & Hypothesis Testing

Explores the Cramér-Rao bound, hypothesis testing, and optimality in statistical theory.

Dependability Evaluation in Industrial Automation

Explores dependability evaluation, preventive maintenance, reliability, Markov models, FMEA, FTA, and software safety integrity in industrial automation.

Classification Detection

Covers binary hypothesis testing and decision functions in specific scenarios.