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Learn Unsupervised Learning, earn certificates with free online courses from Stanford, MIT, University of Pennsylvania, Johns Hopkins and other top universities around the world. Read reviews to decide if a class is right for you.
CNNs, RNNs and other neural networks for unsupervised and supervised deep learning
Artificial Intelligence & Machine Learning: Practical Training for Real-World Applications & Skills Development
Apply machine learning in Geographic information systems and Remote Sensing in QGIS and Google Earth Engine
Quickly Learn the Essentials of Artificial Intelligence (AI) and Machine Learning (ML)
Learn to leverage data science for business innovation, covering key concepts, methods, and real-world applications. Gain insights into machine learning, analytics, and data-driven strategies to create value and drive organizational success.
Comprehensive introduction to machine learning concepts, applications, and techniques. Covers supervised/unsupervised learning, classification, regression, and model evaluation through hands-on labs and a final project.
Master practical machine learning algorithms through hands-on implementation in Python and PyTorch, covering supervised and unsupervised learning techniques for real-world applications in computer vision, NLP, and robotics.
Basic Concepts like regression algorithms and EDA to advanced concepts like GAN and Explainable AI | Interview Prep
Learn core concepts of Machine Learning. Apply ML techniques to real-world problems and develop AI/ML based applications
Data Science Projects with Linear Regression, Logistic Regression, Random Forest, SVM, KNN, KMeans, XGBoost, PCA etc
Learn model building, algorithms, data science PLUS 30 hours of step by step coding, libraries, arguments, projects +++
Ready to build the future with Deep Neural Networks? Stand on the shoulder of TensorFlow and Keras for Machine Learning.
Python & TensorFlow: The Roadmap to Deep Machine Learning Expertise
This training is an introduction to the concept of Data science and its application using R programming language
Supervised & unsupervised machine learning in R, clustering in R, predictive models in R by many labs, understand theory
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