Graph Theory Courses

Genomics Boot Camp

Genomic Inbreeding - Introduction to Genomics Theory

Explore genomic inbreeding, runs of homozygosity, and their applications in detecting selection signatures and recessive disorders. Learn key concepts like identity-by-descent and inbreeding coefficients.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Genomics Boot Camp

Selection Signatures - Introduction to Genomics Theory - Genomics 101

Learn about selection signatures in genomics, including genetic hitchhiking, types, detection methods, and analysis across populations. Ideal for beginners interested in SNP data and genomic concepts.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Genomics Boot Camp

Genomic Admixture - Introduction to Genomics Theory

Explore genomic admixture in crossbreeding populations, covering definitions, interpretation, and practical considerations like ancestry informative SNPs. Ideal for beginners in genomics and SNP data analysis.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Genomics Boot Camp

Genome-Wide Association Studies - Introduction to Genomics Theory

Explore genome-wide association studies (GWAS) in genomics, covering key concepts, applications, statistical challenges, and population structure considerations for pinpointing trait-influencing genomic regions.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Genomics Boot Camp

Linkage Disequilibrium - Introduction to Genomics Theory

Explore linkage disequilibrium in genomics, its importance, metrics, and applications. Learn about LD block structure, genetic distance, and how it reveals population history and selection pressures.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Genomics Boot Camp

SNP Chips - Introduction to Genomics Theory - Genomics 101

Beginner-friendly introduction to SNP chip technology in genomics, covering basic concepts, data handling, allele coding, and chip types. Ideal for those new to genomics seeking to understand SNP data analysis.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Genomics Boot Camp

DNA and Genetic Markers - Introduction to Genomics Theory

Explore DNA basics, genomic revolution, and markers in this beginner-friendly introduction to genomics theory, covering fundamental concepts and their applications in modern science.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Aladdin Persson

Graph Convolutional Network Paper Explained

Comprehensive explanation of Graph Convolutional Networks (GCNs), covering theory, derivation, and practical applications in node classification, with insights into their functionality and effectiveness.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Tree and Graph Data Structures

Trees and graphs are non-linear data structures, which allows for modelling things such as recommendation algorithms and social networks. Learn more!

• Frontend Masters
• 4-5 hours
• Self-Paced
• Paid Course

IIT Kanpur;  NPTEL

Circuit Complexity Theory

Explore Boolean circuit complexity, proving upper and lower bounds on circuit resources. Delve into mathematical concepts, theorems, and advanced topics in theoretical computer science.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

IIT Kanpur;  AICTE

Introduction to Electromagnetic Theory in Hindi

वेक्टर कैलकुलस का उपयोग करके विद्युत चुंबकीय सिद्धांत की मूल अवधारणाओं का परिचय। गॉस के नियम, मैक्सवेल के समीकरण और विद्युत चुंबकीय तरंगों पर विशेष ध्यान।

• Swayam
• 8 weeks
• Self-Paced
• Free Online Course

IIIT-Delhi;  NPTEL

Optimisation for Machine Learning: Theory and Implementation (Hindi)

मशीन लर्निंग के लिए ऑप्टिमाइजेशन की नींव: सिद्धांत और कार्यान्वयन। लीनियर अल्जेब्रा, कैलकुलस, और प्रोग्रामिंग से शुरू करके, विभिन्न एल्गोरिदम और उनके अनुप्रयोगों को सीखें।

• Swayam
• 8 weeks
• Self-Paced
• Free Online Course

Marketing Analysis - Where Theory Meets Practice

Semrush's new Marketing Analysis course provides the foundational knowledge necessary to analyze any market and build a surefire marketing strategy.

• Semrush Academy
• 2 hours 11 minutes
• Self-Paced
• Free Online Course

Pragmatic AI Labs

MLOps Masterclass - Theory to DevOps to Cloud-Native to AutoML

Comprehensive guide to MLOps: from theory to implementation, covering DevOps, cloud-native solutions, and AutoML. Learn to build, deploy, and manage machine learning systems across various platforms and technologies.

• YouTube
• 2 hours 36 minutes
• Self-Paced
• Free Video

Pragmatic AI Labs

K-Means Clustering - Theory, Algorithm, Implementation, Scaling

Comprehensive exploration of k-means clustering, covering theory, implementation, and scaling techniques. Includes hands-on demonstrations and practical applications using cloud computing resources.

• YouTube
• 26 minutes
• Self-Paced
• Free Video