Introduction to Python Data Analysis and Machine Learning for Chemistry (Revised 2) / Hiromasa Kaneko

Descrição de produto ※Por favor, note que a informação sobre o produto é traduzida por máquina, por isso pode não ser a tradução correcta.

Manufacturing Industry
[Introduction]
Introduction to Machine Learning with Python in Chemistry and Chemical Engineering
Introduction to Machine Learning with Python in Chemistry and Chemical Engineering
Using data analysis and machine learning to analyze experiments and manufacturing data, we can use a different approach to accelerating materials development and simplifying process management.
Using data analysis and machine learning to analyze experiments and manufacturing data, we can use a different approach to accelerating materials development and simplifying process management.
With data analysis and machine learning, we can use a different approach to accelerating materials development and simplifying process management.
With data analysis and machine learning, we can use a different approach to accelerating materials development and simplifying process management.
With data analysis and machine learning, we can make it visible.
With data analysis and machine learning, Part 1, Basic knowledge of Python and statistics
Chapter 1, Python Basics
Chapter 2, Illustration of data
Part 2, Data analysis and machine learning
Chapter 3, Multivariate data and visualization
Chapter 4, Modeling with chemical data
Chapter 5, Application of regression model and class classification model
Part 3, Methods to practical practice with chemical and chemical engineering
Chapter 6, Material Design. Molecular Design. Pharmaceutical Design
Chapter 7, Analysis of time series data
Chapter 8, Datachemical LAB.
With data analysis and machine learning, Part 1, Basic knowledge of Python and statistics
Chapter 1, Python Basics
Chapter 1, Python Basics
Chapter 1, Python Basics
Chapter 1, Python Basics
Chapter 1