Description for ML Algorithms with R in Business Analytics
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by Illinois
Duration: 14 hours (approximately)
Schedule: Flexible
Pricing for ML Algorithms with R in Business Analytics
Use Cases for ML Algorithms with R in Business Analytics
FAQs for ML Algorithms with R in Business Analytics
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
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.
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.
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.
This course covers the development, impact, and future of Generative AI through lectures, critical AI technologies, and interactive assessments.
Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.
Develop and evaluate machine learning models using regression, trees, and unsupervised techniques to address various business challenges.
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.
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.
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.
Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.
Featured Tools
Data Engineering on Google Cloud. Embark on a vocation in data engineering. Provide business value through the application of machine learning and big data.
Learn to leverage Google Cloud's data-to-AI tools, generative AI capabilities, and Vertex AI for comprehensive ML model development.
Learn to use generative AI tools to improve data science workflows, enhance datasets, and refine machine learning models through practical projects.
Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.
Generative AI for Your Benefit. Utilize Generative AI to develop and instruct personalized assistants.