Description for ML Algorithms with R in Business Analytics
Features of Course
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
Master the process of exploratory data analysis, train AutoML models with Vertex AI and BigQuery ML, optimize models using performance metrics and loss functions, and generate scalable datasets for training and evaluation.
Learn about AI principles and platforms like IBM Watson and Hugging Face, integrate RAG technology for chatbot intelligence, create web apps using Python libraries, and develop interfaces with generative AI models and Python frameworks.
Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.
Gain a comprehensive understanding of AI terminology, applications, development, and strategy, while navigating ethical and societal considerations in a non-technical context.
Use Tome AI to create detailed presentation outlines, integrate relevant documents, and generate visually appealing slides through effective prompts.