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Since the first edition of “Data Science and Analytics with Python” we have witnessed an unprecedented explosion in the interest and development within the fields... Læs mere
Unlock the power of data analytics in finance with this comprehensive guide. 'Data Analytics for Finance Using Python’ is your key to unlocking the secrets of the financial markets. In this book, you'll discover how to harness the latest data analytics techniques.
Chapters 6 and 7 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 8, 9, and 10 discuss recurrent neural networks, convolutional neural networks, and graph neural networks.
Knowledge Guided Machine Learning provides an introduction to this rapidly growing field by discussing some... Læs mere
This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling.
Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software. The second edition features numerous updates, including the adoption of the high-performance terra package for all raster data processing.
This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and... Læs mere
This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The... Læs mere
This book focuses on futuristic trends and innovations in multimedia systems using big data, IoT and cloud technologies. The authors present recent... Læs mere
Examples of OSINT range from information posted on social media as one of the most openly available means of accessing and... Læs mere