An accessible text that provides students and instructors with the data science foundations to address earth science questions using real-world case studies. Focusing on... Læs mere
Combining an introduction to relevant concepts related to automatic storytelling with accessible descriptions of well-known... Læs mere
Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection.
Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass the entire data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data.
With this short but thorough resource, data scientists and Python programmers will learn how the Dask open source library for parallel computing provides APIs that make it easy to parallelize PyData libraries including NumPy, pandas, and scikit-learn.
Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience.
This book is for managers who have been afraid of machine learning but want to understand it. It helps managers understand how machine learning works, what it can do and... Læs mere
These proceedings bring together both industrial and academic professionals to exchange and share their experiences, most recent innovations, trends and research results on all aspects of Advances in Materials, Manufacturing and Machine Learning.