Applied Data Analytics - Principles and Applications

ISBN-13: 9788770220965 / Angielski / Twarda / 2020 / 300 str.

Johnson I. Agbinya

Opis

The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean.

Spis treści

• Chapter 1: Markov Chain and its Applications
• Chapter 2: Hidden Markov Modelling
• Chapter 3: Kalman Filters I
• Chapter 4: Kalman Filters II
• Chapter 5: Genetic Algorithms
• Chapter 6: Introduction to Calculus on Computational Graphs
• Chapter 7: Support Vector Machines
• Chapter 8: Artificial Neural Networks
• Chapter 9: Training of Neural Networks
• Chapter 10: Recurrent Neural Networks
• Chapter 11: Convolutional Neural Networks
• Chapter 12: Probabilistic Neural Networks
• Chapter 13: Finite State Machines
• Chapter 14: Principal Component Analysis
• Chapter 15: Moment Generating Functions
• Chapter 16: Characteristic Functions
• Chapter 17: Probability Generating Functions
• Chapter 18: Digital Identity Management System Using Neural Networks

O autorze

Johnson I. Agbinya