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Machine Learning Introduction for Everyone
Learn machine learning basics, from AI concepts to model evaluation. Hands-on labs with IBM tools for practical skills in ML applications.
Course Cost
₹ 2,699
Beginner
Skill Level
6 Hours
Self-paced lessons
This beginner-friendly course provides a comprehensive introduction to machine learning for everyone. Over three modules, learners explore fundamental concepts of AI, machine learning, and deep learning. The course covers the machine learning model lifecycle, supervised and unsupervised learning, classification, regression, and model evaluation techniques. With hands-on labs using IBM tools, participants gain practical experience in applying machine learning concepts. The curriculum includes an overview of generative AI and its applications. By the end of the course, learners will be able to understand the potential of machine learning in various business scenarios, differentiate between AI techniques, and evaluate machine learning models using metrics like accuracy and precision.
21,004 Enrolled
English
What you'll learn
Understand the differences between artificial intelligence, machine learning, and deep learning
Explain the machine learning model development lifecycle
Differentiate between supervised and unsupervised machine learning
Understand classification and regression in machine learning
Learn to evaluate machine learning models using metrics like accuracy and confusion matrices
Gain hands-on experience with IBM Watson and AutoAI tools
Explore the basics of deep learning and reinforcement learning
Understand the applications and potential of generative AI
Skills you'll gain
This course includes:
35 Minutes PreRecorded video
2 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 modules in this course
This course offers a comprehensive introduction to machine learning concepts and applications. Starting with the fundamentals of artificial intelligence and machine learning history, it progresses to cover the machine learning model lifecycle and essential tools. Learners explore key topics such as supervised vs. unsupervised learning, classification, regression, and model evaluation techniques. The course also introduces deep learning, reinforcement learning, and provides an overview of generative AI. Through hands-on labs and demos using IBM tools like Watson and AutoAI, participants gain practical experience in applying machine learning concepts. The curriculum balances theoretical knowledge with real-world applications, preparing learners to understand and leverage machine learning in various business scenarios.
Introduction to Machine Learning
Module 1 · 114 Minutes to complete
Machine Learning Topics
Module 2 · 185 Minutes to complete
Final Project: Insurance Charges Regression
Module 3 · 85 Minutes to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.