Titansoft 新加坡商鈦坦科技

The go-to handbook for implementing Objectives and Key Results (OKRs), a goal setting method with a simple approach to drive improvement. It includes a thorough explanation of OKRs, how to use them and case studies of diverse implementations from various companies which makes it easy for the reader to understand the principles behind OKR. Gaining support across the organization to drive the OKR process is difficult, but Niven and Lamorte have provided some tips in this book.

The first book centred around Machine Learning for beginners (with an understanding of statistics) to start off with, for a good introduction and overview of the different methods used in the field. It is approachable with the right amount of theory and practice, presents techniques in a clear manner and provides example datasets containing potential issues involved with real-world use. Beginning with linear regression, the reader is introduced to more complex concepts including principal component analysis, tree based methods and hierarchical clustering.

This is a classic, rigorous and mathematically dense book on machine learning techniques from a statistical perspective. It summarizes almost everything you need to know about statistics and machine learning, and is very useful in terms of presenting insights behind a huge variety of different methods, such as why a method works. Read this after An Introduction to Statistical Learning: with Applications in R!