COURSE OUTLINESession 1
Theme: Functions
Concept of function. Concept of continuity. List of basic functions. Inverse functions.
Session 2
Extending naive Bayes
Concept of limit of a function. Limit at a point. Vertical asymptotes. Limit at infinity. Horizontal asymptotes. List of standard limits.
Session 3
Theme: Derivatives
Rate of change of a function. Definition of derivative. Calculating derivatives from definition. Derivatives of basic functions. One-side derivative.
Session 4
Theme: Derivative and differential
Concept of differential. Derivatives of sum, product, and ratio of two functions. The chain rule. Logarithmic derivative.
Session 5
Theme: Derivative applications.
Linear approximation. Equation for the tangent of a function. Maximum and minimum values. Second derivative. Analysis of a function using derivative. Asymptotic functions.
Session 7
Theme: Integrals
Antiderivatives. Indefinite integrals. Deriving the list of indefinite integrals for basic functions.
Session 8
Theme: Integration
Integration techniques. Substitution rule.
Session 9
Theme: Integrals of rational functions
Integration of rational functions.
Session 10
Theme: Preliminary test
Breaking words down into characters. Character-based models. Convolutional networks in NLP.
Session 11
Theme: Definite integral
Area under curve. Fundamental theorem of calculus. Definite integral. Area between curves.
Session 12
Theme: Average value
Definition of average value. Calculation of average values.
Session 13
Theme: Further directions
Giving slight overview of the further topics. Function of many variable. Partial derivative. Differential equations.
Session 14
Theme: Overview
Overview of the studied material. Preparation for the final exam.
Session 15
Theme: Final exam
Session 6
Neural language models and word2vec
Indeterminate forms. L’Hospital rule. Optimisation problems. Newton-Raphson method.