Mathematical Introduction to Data Science with Python

Chapter 1 Introduction.- Chapter 2 Sets and Functions.- Chapter 3 Liner Algebra.- Chapter 4 Matrix Decomposition.- Chapter 5 Calculus.- Chapter 6 Advanced Calculus.- Chapter 7 Algorithms 1 - Principal Component Analysis.- Chapter 8 Algorithms 2 - Liner Regression.- Chapter 9 Algorithms 3 - Neural Networks.- Chapter 10 Probability.- Chapter 11 Further Probability.- Chapter 12 Elements of Statistics.- Chapter 13 Algorithms 4 - Maximum Likelihood Estimation and Its Application to Regression.- Chapter 14 Data Modelling in Practice.

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• Programação e linguagens de script: geral
• Probabilidade e Estatística
• Bases de Dados
• Aprendizagem mecânica
• Matemática para cientistas da computação

Data Science through Python;Python;Mathematical Introduction;Computational Algorithms;Data Analysis;Gradient Descent Algorithm;Principal Component Analysis;Linear Regression;Neural Networks; Maximum Likelihood Estimation