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.
Through hands-on coding lessons and tasks, this course teaches you the complete process of using TensorFlow to create deep learning models, from creating and training models to checking their accuracy and saving them.
Featured Tools
Become an adept in the field of machine learning. Break into the field of artificial intelligence by mastering the fundamentals of deep learning. Recently upgraded with state-of-the-art methodologies!
Leverage AI to create and optimize growth marketing strategies, enhance consumer engagement, and drive business expansion and sales.
Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.
Real-World Applications of Machine Learning. Develop proficiency in the implementation of a machine learning undertaking.
Construct and train neural networks and tree ensemble methods using TensorFlow, while applying effective machine learning practices for real-world data generalization.