Python for business analytics unlocking data insights for strategic decision making -- Basics of python programming -- Data manipulation with pandas -- Data visualization with matplotlib and seaborn -- Descriptive analytics -- Predictive analytics with scikit learn -- Advanced analytics and...

Introduction Part I. Static Games of Complete Information 1. Games 2. Nash Equilibrium 3. Oligopoly 4. Empirical Entry Games 5. Mixed Strategies Part II. Dynamic Games of Complete Information 6. Dynamic Games 7. Repeated Games 8. Bargaining Part III. Static Games of Incomplete Information 9....

"Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python,...

"The purpose of this chapter is to introduce the fundamentals of the R programming language, and the basic tools you will need to use this book; it is therefore an important chapter for readers new to R. The reader is advised, following reading this chapter, to proceed to Chapter 2 which,...

"Reinforcement learning (RL) has led to several breakthroughs in Al. The use of the deep Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a superhuman level. More recently, RL, DQL, and similar methods have gained popularity in...

"This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with Python, we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using...