


Mathematical brain modeling
This lecture overviews Mathematical Brain Modeling that has many applications in Artificial Neural Networks. It covers the following topics in detail: Brain Cells (Sensory and Motor neurons, Interneurons, glia).



Syntactic Pattern Recognition
This lecture overviews that has many applications in data analysis. It covers the following topics in detail: Syntactic Pattern Recognition Systems. Preprocessing Techniques. String-Based Models.



Gray Box Optimization
In Gray Box Optimization, the optimizer is given access to the set of M subfunctions. We prove Gray Box Optimization can efficiently compute hyperplane averages to solve non-deceptive problems in time.



Real-World Data Science Projects Management
Real-World Data Science Projects involve the practical application of data science methodologies to solve real-world problems.



Dynastic Potential Crossover Operator
An optimal recombination operator for two-parent solutions provides the best solution among those that take the value for each variable from one of the parents (gene transmission property).



Real-World Learning
In the past decade, artificial intelligence has made remarkable progress, achieving feats like self-driving cars, defeating go-masters, and precise image categorisation through supervised deep learning with labelled data.