Artificial Intelligence and Robotics
Explore AI and robotics concepts including search algorithms, expert systems, natural language processing, neural networks, and robotic applications through Hindi-language explanations and examples.
Machine Learning
In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each o…
AI, Machine Learning and Deep Learning
Explore AI, machine learning, and deep learning concepts, including supervised, unsupervised, and reinforcement learning paradigms. Learn when to use traditional ML or deep neural networks for audio applications.
Generative Models With Domain Knowledge for Weakly Supervised Clustering
Explore deep generative models for weakly supervised clustering, incorporating domain knowledge and survival data to guide algorithms towards medically meaningful findings in biomedical datasets.
Curation and Analysis of Annotated Medical Images Across Institutions - Xiaoyuan Guo
Explore techniques for curating and analyzing annotated medical images across institutions, focusing on data sharing challenges, anomaly detection, and OOD-aware image retrieval for improved dataset quality and future analysis.
Weakly-Supervised, Large-Scale Computational Pathology for Diagnosis and Prognosis - Max Lu
Explore machine learning models for histopathology analysis, enabling large-scale cancer diagnosis and prognosis without manual annotations. Learn about innovative approaches in computational pathology.
Observational Supervision for Medical Image Classification
Exploring gaze data as a novel supervision source for training deep learning models in medical image classification, focusing on chest X-rays and brain MRI scans for improved efficiency and accuracy.
Artificial Intelligence by CrashCourse
In 20 episodes, Jabril will teach you about Artificial Intelligence and Machine Learning!
Computer Vision
Explore machine learning and computer vision fundamentals, advanced neural network architectures, and applications in object detection and semantic segmentation.
Validating Daily Social Media Macroscopes of Emotions
Explore how social media sentiment analysis can accurately measure daily emotional dynamics of online communities, validated through surveys and applied to COVID-19 impact studies.
Generative Models for Image Synthesis
Explore cutting-edge generative models for image synthesis, translation, and defect detection. Learn about GANs, unsupervised techniques, and interactive applications in this advanced AI seminar.
Deep Reinforcement Learning for Object Tracking
Explore action-driven object tracking using deep reinforcement learning, covering policy, value functions, and training approaches for improved visual tracking performance.
Integrating Patient Level Multi-omics Data Using Deep Learning Models
Explore deep learning models for integrating patient-level multi-omics data, focusing on supervised and unsupervised approaches for predicting outcomes and uncovering latent representations in genomics.
Reinforcement Learning in Artificial Intelligence - Full Course
Keeping the importance of Reinforcement Learning in mind, we have come up with this full course by Great Learning Faculty Dr. Narayana Darapaneni. Dr. Narayana holds a PhD in Mathematics from Pierre and Marie Curie University, Paris, France.
Back Propagation
Comprehensive exploration of backpropagation in neural networks, covering its principles, algorithm, types, advantages, and disadvantages for effective machine learning model training.
Supervised Learning Full Course - Supervised Learning Tutorial for Beginners
In this video we will be explaining various advantages in detail. We will also be covering different topics such as, What is Machine Learning, What are their types, Python implementation for Regression, and much more.
Support Vector Machine - SVM - Machine Learning Tutorial
Support Vector Machines have various applications such as they can be used in classification of images, in handwritten character recognition, classification of satellite SAR data. Learn about SVM in this video by Great Learning.
Supervised Machine Learning with Tree-Based Models
Learn supervised machine learning using tree-based models. Explore decision trees and random forests, with practical Python implementations for real-world problem-solving and performance optimization.
Logistic Regression and Naive Bayes in Machine Learning - Machine Learning Tutorial - Great Learning
Comprehensive tutorial on Logistic Regression and Naive Bayes, covering theory and practical applications in fraud detection and diabetes prediction. Includes machine learning basics and hands-on demos.
Supervised Learning
Explore linear regression, logistic regression, perceptron algorithm, and support vector machines in this friendly introduction to key supervised learning concepts.
Machine Learning
Comprehensive introduction to machine learning, covering algorithms, data analytics, and predictive modeling. Includes hands-on tutorials on data preparation, visualization, and decision tree implementation.