Data Science

All Indian Reprints of O'Reilly are printed in Grayscale Over the past 10 years, data analytics and data visualization have become essential components of an enterprise information strategy. And yet, the adoption of data analytics has remained remarkably static, reaching no more than 30% of potential users. This book explores the most important techniques for taking that adoption further: embedding analytics into the workflow of our everyday operations.

About the book Best practices for manipulating data with Pandas. This book will arm you with years of knowledge and experience that are condensed into an easy to follow format. Rather than taking months reading blogs and websites and searching mailing lists and groups, this book will teach...

This small handy booklet has two- fold purpose : a. Mitigate the fear of statistics from the mind of beginners in the field of data analytics and research scholars of PhD who do not have background of statistics. It serves as comprehensive class note on statistics for them. b. Build the confidence of data scientists who extensively use the software packages for analysis of data as black boxes but do not have insight of how data crunching is done by the software, how type of statistical tests are selected , level of significance is fixed , how hypothesis is framed ,how statistical test are carried out in step-by-step manner and most importantly how interpretation of test outcomes are made. The basic philosophy of authors behind the book has been “ How to get more from less you read and more you read much more you get. About the Author Professor N. C. Das has been former Professor-cum-Chief Scientist at the Department of Statistics and Computer Science, Birsa Agricultural University, Ranchi, India. He has over six decades of teaching- and research-experience in the field of Statistical Inference, Design of Experiments, Operations Research and Computer Science. Data-based modelling for prediction has been integral part of above disciplines. These are now essential components of Data Science. It is natural therefore that he is drawn to simple model fitting to data for making prediction and its goodness of fit. To the same an acronym has been given SLIM & GUD-FIT for brevity, for other book has authored. He intensively devoted his time in advising and guiding a wide-spectrum of students, doctoral- and post doctoral –scholars and research specialists from various institutions, corporate organizations, core-sector industrial outfits and various consulting bodies on statistical aspects of research problems. He, as a Research Fellow of the International Development Agency at I.I.T. Kharagpur, had developed software BIVNOR which was required to be applied successfully for solving long aspired and much awaited problem of “Bivariate Joint Chance-Constrained Programming”. Later it was found to be of much wider use which culminated in publication of his monograph entitled “Decision Processes by Using Bivariate Normal Quantile Pairs” by Springer (2015). The said text also offers high probability joint confidence intervals to the much aspired measure (MAM) of Higgs Boson's particle, popularly called God particle, in case BEC (the magnitude of Bose-Einstein Correlation) is made available. According to World Cat the book by now has reached more than 283, amongst its more than 580 member libraries around the Globe, which according to them is considered fairly large acquisitions for such class of book-titles.  He remained Academic Secretary-cum-Editor of the Bihar Journal of Mathematics during 1994-1998 and is currently, as well as, the Founder President , Jharkhand Society of Mathematical Sciences: Ranchi. Dr. Mukesh Ranjan Das is Executive Director in one of the leading fortune 500 companies. He has acquired PhD in Management from IIT, Dhanbad in the area of Competency modelling. He graduated in Mechanical Engineering from B.I.T Mesra, Ranchi and later pursued PGCHRM from XLRI, Jamshedpur. He has published three research papers in Journals of repute and is serving as editorial board member of New York based journal "Humanities and Social Science'. He also serves in editorial board of "HR Vista" a quarterly digital journal of Oil Industry of India. He is also proud and blessed son of first author Professor N.C.Das.

All Indian Reprints of O'Reilly are Printed in Grayscale. Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show...

Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively. With this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to different groups in their organizations.

All Indian Reprints of O'Reilly are printed in Grayscale Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modeling skills, you'll learn how to replace traditional financial risk models with ML models.

All Indian Reprints of O'Reilly are printed in Grayscale Every enterprise application creates data, including log messages, metrics, user activity, and outgoing messages. Learning how to move these items is almost as important as the data itself. If you're an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds.

All Indian Reprints of O'Reilly are printed in Grayscale The world around us is full of data that holds unique insights and valuable stories, and this book will help you uncover them. Whether you already work with data or want to learn more about its possibilities, the examples and techniques in this practical book will help you more easily clean, evaluate, and analyze data so that you can generate meaningful insights and compelling visualizations.

All Indian Reprints of O'Reilly are printed in Grayscale Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application...

All Indian Reprints of O'Reilly are printed in Grayscale Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively. With this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to different groups in their organizations.

All Indian Reprints of O'Reilly are printed in Grayscale This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data pre-processing, model design, model training, evaluation, deployment, and interpretability.

All Indian Reprints of O'Reilly are printed in Grayscale   What's so special about this book? If you've read a Head First book, you know what to expect: a visually rich format designed for the way your brain works. With Head First Design Patterns, 2E you'll learn design principles and patterns in a way that won't put you to sleep, so you can get out there to solve software design problems and speak the language of patterns with others on your team.