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Introduction to Machine Learning
This course provides a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) and demonstrates how they can solve complex problems in various industries, from medical diagnostics to image recognition to text prediction. Through hands-on practice exercises, you'll implement these data science models on datasets, gaining proficiency in machine learning algorithms with PyTorch, used by leading tech companies like Google and NVIDIA.
Duration
3 Months
Institution
Duke University
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Duke University.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$120
Total Est. Investment
$120
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Introduction to Machine Learning program at Duke University are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.