Home AI Courses ML Algorithms with R in Business Analytics

ML Algorithms with R in Business Analytics

(0 reviews)

The course page delves into the practical applications of machine learning algorithm paradigms, frameworks for interpreting results, and business data analysis.

Key AI Functions:prediction,regression,R Programming,classification,clustering

Description

Reviews

Alternative Tools

Description for ML Algorithms with R in Business Analytics

Algorithm conceptual paradigm of machine learning

A conceptual framework for the interpretation of the results of machine learning

Experiment with the application of machine learning algorithms to business data.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by Illinois

Duration: 14 hours (approximately)

Schedule: Flexible

Reviews for ML Algorithms with R in Business Analytics

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Google Cloud Big Data and ML Fundamentals en Espanol

Deep Neural Networks with PyTorch

Meta Front-End Developer Professional Certificate

Alternative Tools for ML Algorithms with R in Business Analytics

The AI tool focuses on content optimization through AI-driven processes, leveraging NLP, SEO writing, content construction, research tools, content clustering, and AI templates for efficient and effective content creation.

#copywriting #marketing

Expense Sorted

Freemium

Expense Sorted employs AI to automate expense categorization, integrates securely with Google Sheets, offers a streamlined user interface, customizable categories, and manual adjustment options, making it a valuable tool for efficient budget management.

#finance #life assistant

AI in Business

Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.

#Business AI #Generation AI

Coding with Gen AI

This course covers the development, impact, and future of Generative AI through lectures, critical AI technologies, and interactive assessments.

#Critical Thinking #Computer Programming

Deep Learning for Computer Vision Specialization

Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.

#Anomaly Detection #Artificial Intelligence (AI)

Foundations of Machine Learning

Develop and evaluate machine learning models using regression, trees, and unsupervised techniques to address various business challenges.

#Logistic Regression #Unsupervised Learning

AI and ML Essentials with Python Specialization

Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.

#Artificial Intelligence #Python (Programming Language)

Rust Programming Specialization

Acquire the skills necessary to program powerful systems in Rust. Through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations, acquire the skills necessary to develop software that is both efficient and robust, utilizing Rust's distinctive safety and speed.

#Computer Programming #Rust (Programming Language)

ML Specialization

Specialization in Machine Learning at BreakIntoAI. Master the fundamental AI concepts and cultivate practical machine learning skills in the beginner-friendly, three-course program by AI visionary Andrew Ng.

#Logistic Regression #Artificial Neural Network

Machine Learning with Python

Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.

#Machine Learning #regression