Sinposis

STATISTICAL FOUNDATIONS OF DATA SCIENCE GIVES A THOROUGH INTRODUCTION TO COMMONLY USED STATISTICAL MODELS, CONTEMPORARY STATISTICAL MACHINE LEARNING TECHNIQUES AND ALGORITHMS, ALONG WITH THEIR MATHEMATICAL INSIGHTS AND STATISTICAL THEORIES. IT AIMS TO SERVE AS A GRADUATE-LEVEL TEXTBOOK AND A RESEARCH MONOGRAPH ON HIGH-DIMENSIONAL STATISTICS, SPARSITY AND COVARIANCE LEARNING, MACHINE LEARNING, AND STATISTICAL INFERENCE. IT INCLUDES AMPLE EXERCISES THAT INVOLVE BOTH THEORETICAL STUDIES AS WELL AS EMPIRICAL APPLICATIONS.