The textbook Analytic Combinatorics by Philippe Flajolet and Robert Sedgewick enables precise quantitative predictions of the properties of large combinatorial structures.
- Cell Structure and Viruses
- Enzyme Activity and Cell Respiration
- Cell Cycle, Reproduction and Embryology
- Genetics
- Nervous and Musculoskeletal System
- Endocrine System
- Digestive and Excretory Systems
- Cardiovascular and Respiratory Systems
- Immune System
Google Spotlight Stories is a new form of immersive storytelling made specifically for mobile and VR. In these 360-degree, interactive stories, your phone be...
This course will introduce the student to classic neural network structures, Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Neural Networks (GRU), General Adversarial Networks (GAN) and reinforcement learning. Application of these architectures to computer vision, time series, security, natural language processing (NLP), and data generation will be covered. High Performance Computing (HPC) aspects will demonstrate how deep learning can be leveraged both on graphical processing units (GPUs), as well as grids. Focus is primarily upon the application of deep learning to problems, with some introduction to mathematical foundations. Students will use the Python programming language to implement deep learning using Google TensorFlow and Keras.
Kwadwo Sampany-Kessie gives a quick review of books that are good for learning Chinese. But which one is the best Chinese book? On his channel there will be ...
- Atomic Structure and Molecules
- Kinetic Molecular Theory and Chemical Reactions
- Thermodynamics
- Calorimetry and Colligative Properties
- Solutions, Solvents and Solubility
- Acid and Base Reactions
- Electrochemistry
The channel linked to in this post contains a number of long walks through various locations in Japan. It helps that the videos are well stabilized, without commentary and have footage of locations that are normal rather than touristy.
- Special Relativity
- Quantum Theory
- Quantum Mechanics
- Quantum-Mechanical Theory of Atoms
- Chemical Bonds and Solid-State Physics
- Nuclear Physics
- Particle Physics
The textbook An Introduction to the Analysis of Algorithms by Robert Sedgewick and Phillipe Flajolet overviews the primary techniques used in the mathematical analysis of algorithms.