Канал: Free Technology and Technology Managment Courses

Launch Grafana Stack and Prometheus with Docker in Seconds

Launch Grafana Stack and Prometheus with Docker in Seconds

Introduction to Grafana Alloy

Introduction to Grafana Alloy

Grafana Tempo and Opentelemetry Traces

Grafana Tempo and Opentelemetry Traces

Learn Grafana and Prometheus

Learn Grafana and Prometheus

21 Intro to CRISP ML Q

21 Intro to CRISP ML Q

Diagram as Code - Use AI to generate UML Diagrams

Diagram as Code - Use AI to generate UML Diagrams

What is Industry 4? #computerscience #freecourse #technology #code #coding

What is Industry 4? #computerscience #freecourse #technology #code #coding

Intervire question: What are some drawbacks of Microservices architecture?

Intervire question: What are some drawbacks of Microservices architecture?

Installing Prometheus on a Mac computer

Installing Prometheus on a Mac computer

Microservices intervire questions: Describe the concept of Cohision

Microservices intervire questions: Describe the concept of Cohision

Interview Question: Describe various types of coupling

Interview Question: Describe various types of coupling

S-Curve in Innovation Managment #technology #innovation #computerscience #learning #freecourse

S-Curve in Innovation Managment #technology #innovation #computerscience #learning #freecourse

Interview Question: Describe the benefits of microservices architecture

Interview Question: Describe the benefits of microservices architecture

What is Innovation Managment Process?

What is Innovation Managment Process?

Interview question: What is a Bounded Context?

Interview question: What is a Bounded Context?

What is Unit Testing in Software Development

What is Unit Testing in Software Development

What are Containerised microservices, and how can you run them on the cloud.

What are Containerised microservices, and how can you run them on the cloud.

API Gateway Pattern in Software Architecture and the Common API Gateway Systems in the Market

API Gateway Pattern in Software Architecture and the Common API Gateway Systems in the Market

Monolith Architecture vs Microservice Architecture in Software Development and Design

Monolith Architecture vs Microservice Architecture in Software Development and Design

Monitoring Windows Serverrs with InfluxDB, Telegraf and Grafana

Monitoring Windows Serverrs with InfluxDB, Telegraf and Grafana

Methods of Collecting Metrics in an Observabilty Platform

Methods of Collecting Metrics in an Observabilty Platform

Types of Telemetry Data in an Observabilty Platform

Types of Telemetry Data in an Observabilty Platform

What is Observability (IT infrasturcture and applications)

What is Observability (IT infrasturcture and applications)

Methods of Monitoring (IT infrastructure and applications)

Methods of Monitoring (IT infrastructure and applications)

What is monitoring?

What is monitoring?

Introduction to Machine Learning and AI - Online Course Intro.

Introduction to Machine Learning and AI - Online Course Intro.

Types of Machine Learnings and Models in Machine Learning and AI (Lecture 11)

Types of Machine Learnings and Models in Machine Learning and AI (Lecture 11)

Models vs. Algorithms in Machine Learning (Lecture 10)

Models vs. Algorithms in Machine Learning (Lecture 10)

Data Engineering in Machine Learning Development (Lecture 26)

Data Engineering in Machine Learning Development (Lecture 26)

CRISPL-ML(Q) development for Orpi (Lecture 40)

CRISPL-ML(Q) development for Orpi (Lecture 40)

Requirement Gathering Process of Machine Learning (Lecture 39)

Requirement Gathering Process of Machine Learning (Lecture 39)

Justifying a Machine Learning Solution (Lecture 38)

Justifying a Machine Learning Solution (Lecture 38)

Stakeholder Management for ML Product (Lecture 37)

Stakeholder Management for ML Product (Lecture 37)

Problem Statement for ML Product (Lecture 36)

Problem Statement for ML Product (Lecture 36)

Building a Machine Learning Product in Action: Orpi Real Estate Agency (Lecture 35)

Building a Machine Learning Product in Action: Orpi Real Estate Agency (Lecture 35)

Maturity Level 2 of ML OPs in Machine Learning (Lecture 34)

Maturity Level 2 of ML OPs in Machine Learning (Lecture 34)

Maturity Level 1 of ML OPs in Machine Learning (Lecture 33)

Maturity Level 1 of ML OPs in Machine Learning (Lecture 33)

Maturity Level 0 of ML OPS in Machine Learning (Lecture 32)

Maturity Level 0 of ML OPS in Machine Learning (Lecture 32)

Introduction to ML OPS in Machine Learning (Lecture 31)

Introduction to ML OPS in Machine Learning (Lecture 31)

Model Monitoring and Maintenance in Machine Learning (Lecture 30)

Model Monitoring and Maintenance in Machine Learning (Lecture 30)

Model Deployment in Machine Learning Development (Lecture 29)

Model Deployment in Machine Learning Development (Lecture 29)

Model Evaluation Phase in Machine Learning Product Development (Lecture 28)

Model Evaluation Phase in Machine Learning Product Development (Lecture 28)

Model Engineering in Machine Learning Product Development (Lecture 27)

Model Engineering in Machine Learning Product Development (Lecture 27)

Machine Learning Product Requirements (Lecture 23)

Machine Learning Product Requirements (Lecture 23)

Introduction to Machine Learning Lifecycle (Lecture 22)

Introduction to Machine Learning Lifecycle (Lecture 22)

Random Forest in Machine Learning (Lecture 21)

Random Forest in Machine Learning (Lecture 21)

Logistic Regression in Machine Learning (Lecture 19)

Logistic Regression in Machine Learning (Lecture 19)

Linear Regression in Machine Learning (Lecture 18)

Linear Regression in Machine Learning (Lecture 18)

Deep Dive into Bias and Variance in Machine Learning (Lecture 17)

Deep Dive into Bias and Variance in Machine Learning (Lecture 17)

Regression Evaluation in Machine Learning (Lecture 16)

Regression Evaluation in Machine Learning (Lecture 16)

Classification Evaluration in Machine Learning (Lecture 15)

Classification Evaluration in Machine Learning (Lecture 15)

Fold Cross Validation in Machine Learning (Lecture 14)

Fold Cross Validation in Machine Learning (Lecture 14)

ModelEvaluation Basics in Machine Learning (Lecture 13)

ModelEvaluation Basics in Machine Learning (Lecture 13)

Model Training Basics (Lecture 12)

Model Training Basics (Lecture 12)

What is the Machine Learning Process (Lecture 9)

What is the Machine Learning Process (Lecture 9)

CRISP-ML and CRISP-ML(Q) in Machine Learning (Lecture 8)

CRISP-ML and CRISP-ML(Q) in Machine Learning (Lecture 8)

Challenges in Machine Learning (Lecture 7)

Challenges in Machine Learning (Lecture 7)

Requirements for a Successful ML Product (Lecture 6)

Requirements for a Successful ML Product (Lecture 6)

What is Machine Learning? (Lecture 5)

What is Machine Learning? (Lecture 5)

The State of Artificial Intelligence in 2024 (Lecture 4)

The State of Artificial Intelligence in 2024 (Lecture 4)

The Economic Relevance of Artificial Intelligence and Machine Learning (Lecture 3)

The Economic Relevance of Artificial Intelligence and Machine Learning (Lecture 3)

What is Artificial Intelligence (Lecture 2)

What is Artificial Intelligence (Lecture 2)

Introduction to Artificial Intelligence (Lecture 1)

Introduction to Artificial Intelligence (Lecture 1)

Business and Data Underestanding in Machine Learning (Lecture 25)

Business and Data Underestanding in Machine Learning (Lecture 25)

Introduction to CRISP-ML(Q) in Machine Learning (Lecture 24)

Introduction to CRISP-ML(Q) in Machine Learning (Lecture 24)

DecisionTree in Machine Learning (Lecture 20)

DecisionTree in Machine Learning (Lecture 20)