An Intuitive Intro to Probability
Gain essential skills in Probability Theory for managing uncertainty, structured into five modules with practical exercises, covering topics like Probability, Conditional Probability, and offering an engaging online learning experience.
Description for An Intuitive Intro to Probability
Features of Course
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by University of Zurich
Duration: 3 weeks at 9 hours a week
Schedule: Flexible
Pricing for An Intuitive Intro to Probability
Use Cases for An Intuitive Intro to Probability
FAQs for An Intuitive Intro to Probability
Reviews for An Intuitive Intro to Probability
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for An Intuitive Intro to Probability
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.
Master the AI and machine learning toolkit. Mathematics for Machine Learning and Data Science is a Specialization that is accessible to beginners. In this program, you will acquire the basic mathematics tools of machine learning, including calculus, linear algebra, statistics, and probability.
Understand and apply statistical techniques to quantify prediction uncertainty, analyze probability distributions, and evaluate machine learning model efficacy using interval estimates and margins of error.
Featured Tools
The course delves into the fundamental models and concepts of generative AI, as well as foundation models, pre-trained models for AI applications, and a variety of generative AI platforms, including IBM Watson and Hugging Face.
Learn to load data, create features, and build and evaluate both supervised and unsupervised models in BigQuery for fraud and anomaly detection.
Learn to identify suitable applications for machine learning, integrate human-centered design principles for privacy and ethical considerations in AI product development, and lead machine learning projects following data science methodology and industry standards.
Become proficient in the use of algorithmic programming techniques. Enhance your Software Engineering or Data Science career by acquiring an understanding of algorithms through programming and puzzle solving.
This course offers a concise summary of essential multivariate calculus for machine learning, including practical tools, vector calculations, function approximation, and neural network applications, to build confidence for advanced studies.
Compare & Review AI Tool Directory AI Course Marketplace
Today's Featured Blogs
AI and the Future of VotingAI in CookingAI in Enhancing Mindfulness and Meditation How AI is Personalizing Fitness Plans Power of AI in Emotion Recognition AI and Personal Safety
Aimed Labs