Start your journey into model training with foundational concepts and hands-on exercises designed for newcomers.
Basic algebra and statistics helpful but not required
Any programming experience; Python preferred
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IntermediateHow to train your first machine learning model and run it inside your iOS app via CoreML
IntermediateDebugging and Improving Machine Learning Models
IntermediateArtificial Intelligence and Machine Learning in Insurance Operations Training Course
IntermediateNPTEL - Introduction to Machine Learning: Support Vector Machines
IntermediateMachine Learning and AI Foundations: Causal Inference and Modeling
IntermediatePreparing Data for Feature Engineering and Machine Learning
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IntermediateHow to train your first machine learning model and run it inside your iOS app via CoreML
IntermediateDebugging and Improving Machine Learning Models
IntermediateArtificial Intelligence and Machine Learning in Insurance Operations Training Course
IntermediateNPTEL - Introduction to Machine Learning: Support Vector Machines
IntermediateMachine Learning and AI Foundations: Causal Inference and Modeling
IntermediatePreparing Data for Feature Engineering and Machine Learning
IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
Google’s AI Course for Beginners (in 10 minutes)!
Learn How I'd learn ML in 2025 (if I could start over)
Natural Language Processing In 10 Minutes | NLP Tutorial For Beginners | NLP Training | Simplilearn
OpenCV Python Tutorial 1 - Introduction & Images
OpenCV Python Tutorial For Beginners 24 - Motion Detection and Tracking Using OpenCV Contours
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CS50s Introduction to Programming with Python
Clear and simple explanations of machine learning algorithms. Understand the math and intuition behind ML with Josh Starmer.
An online course focusing on the application of AI in e-commerce. It includes an in-depth analysis of AI case studies in e-commerce to provide practical insights.
A guide for developers on how to train a machine learning model and deploy it on-device in an iOS app using Core ML. The tutorial covers the entire process from data collection to model execution in Xcode.
A specific course within Cornell's Machine Learning Certificate program that focuses on investigating the prediction accuracy of machine learning algorithms. You will learn to recognize high bias and variance to reduce prediction errors and implement techniques like bagging and boosting to create more reliable models.
This course explores the transformative role of AI and Machine Learning in modern insurance operations, including underwriting, claims processing, fraud detection, customer engagement, and risk assessment.
A comprehensive course on machine learning from NPTEL that includes modules on Support Vector Machines and Kernel Methods. The course is available for free online.
Learn about the modeling techniques and experimental designs that allow you to establish causal inference, and gain insights into causal inference from observational studies.
This course covers various feature engineering techniques to get the best results from a machine learning model, including feature selection (filter, wrapper, and embedded methods) and feature extraction from image and text data.
Explore related content to expand your skills beyond this learning path.
Enroll in this path to track your progress and stay motivated.