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Related lectures (31)
Exploring Evolution: Molecular Evidence and Mechanisms
Explores molecular evidence and mechanisms of evolution, including phylogenetic trees and protein comparisons.
Natural Selection and Species Origin
Discusses natural selection, species origin, reproductive compatibility, gene flow barriers, species classification, speciation modes, and polyploidy.
Exploring Evolution: Molecular Insights and Protein Comparison
Explores evolution through enzymes, DNA models, and protein comparisons, discussing molecular insights and evolutionary mechanisms.
Protein Structure Prediction: AlphaFold Evolution and OpenFold Insights
Explores the evolution of protein structure prediction with AlphaFold models and introduces OpenFold insights.
Phylogenetic Tree Construction
Covers the stages of building a phylogenetic tree using DNA sequences and the UPGMA method.
Spirochetes: Structure and Classification
Explores the structure and classification of spirochetes, focusing on specific genera and associated diseases.
Constructing Phylogenetic Trees: UPGMA Algorithm
Covers the UPGMA algorithm for constructing phylogenetic trees and understanding genetic relationships.
Introduction to Machine Learning
Covers the basics of machine learning for physicists and chemists, focusing on image classification and dataset labeling.
Understanding Generative Models of Protein Sequences
Explores a unified framework for understanding and evaluating generative sequence models of DNA/RNA or Protein, covering topics like coevolution, conservation, and different models such as GREMLIN and BERT.
Homotopy Coherent Groups and Quasi-Categories
Covers the characterization of trivial Kan fibrations and the importance of homotopy coherent groups.
Intersection of a Line and a Plane: Special Cases
Covers the intersection of a line and a plane, focusing on special cases.
Linear Regression and Gradient Descent
Covers linear regression, gradient descent, overfitting, and ridge regression among other concepts.
Machine Learning for Physicists/Chemists: Image Classification
Covers the fundamentals of machine learning for physicists and chemists, focusing on image classification tasks using artificial intelligence.
The Three Domains of Life
Explores the three domains of life, metabolic processes, genetic diversity acquisition, and the human microbiome.
Untitled
Sphere Geometry: Properties and Projections
Explores sphere properties, projections, and symmetry, including apparent contours and missing projections of points.
Boltzmann Machine
Covers the Boltzmann Machine, a type of stochastic recurrent neural network.
The Nerve and Geometric Realization
Delves into the computation and geometric realization of small categories, exploring the relationship between nerves and geometric structures.
Inheritance: Polymorphism & Casting
Covers inheritance, polymorphism, and casting in object-oriented programming, emphasizing code factorization and generic object manipulation.
Shadows in Descriptive Geometry
Covers perpendicular planes, plane traces, and shadows in descriptive geometry.
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