Below are several books on such issues as writing, research, and teaching by Darrin Thomas
For those who are familiar with R and machine learning EasieR: Practical Applications of Machine Learning Algorithms in R provides insights into the use of several machine learning algorithms. The text includes discussion on the use of decision trees, classification rules, support vector machines, artificial neural networks as well as ways to evaluate and improve a model.
For the machine learning lover. SimpleR: Using Machine Learning Algorithms in R provides practical examples and applications of machine learning algorithms using the R programming language. Such concepts as numeric and classification models as well as feature selection and how to assess the quality of a model are discussed. Topics include best subset, ridge, lasso, and elastic net regression, discriminant analysis, and logistic regression.
For those new to writing at an academic level Introduction to Secondary Research Writing is for you. This book does not address the details of grammar but rather provides insight into shaping the ideas and flow of a paper by sharing practical advice. This book will guide you through the experience of developing a topic, problem, purpose, objective, significance, of a paper as well as how to approach writing the body and conclusion.
Research is not necessarily difficult. What is needed is a basic explanation of common terms and how they apply to completing a project. In the book Research as a Language, Darrin Thomas provides practical insights into how research can be done primarily in an educational setting.
For teachers at the tertiary and secondary levels, In the Thai Classroom provides insights into teaching young adults in the context of Thailand. Practical tips and dealing specifically with Thai students are given as well as general approaches to teaching. This book is especially helpful for those new to teaching and or do not have formal training in teaching.