Alok Kumar

Its Impact on the Ancient and Modern Worlds To understand modern science as a coherent story, it is essential to recognize the accomplishments of the ancient Hindus. They invented our base-ten number system and zero that are now used globally, carefully mapped the sky and assigned motion to the Earth in their astronomy, developed a sophisticated system of medicine with its mind-body approach known as Ayurveda, mastered metallurgical methods of extraction and purification of metals, including the so-called Damascus blade and the Iron Pillar of New Delhi, and developed the science of self-improvement that is popularly known as yoga. In the modern era, thinkers and scientists as diverse as Ralph Waldo Emerson, Johann Wolfgang von Goethe, Johann Gottfried Herder, Carl Jung, Max Müller, Robert Oppenheimer, Erwin Schrödinger, Arthur Schopenhauer, and Henry David Thoreau have acknowledged their debt to ancient Hindu achievements in science, technology, and philosophy. Ancient Hindu Science is well documented with remarkable objectivity, proper citations, and a substantial bibliography. It highlights the achievements of this remarkable civilization through painstaking research of historical and scientific sources. The style of writing is lucid and elegant, making the book easy to read. This book is perfect for all students and others interested in the developments of science throughout history and among the ancient Hindus, in particular. ALOK KUMAR is a Distinguished Teaching Professor of physics at the State University of New York at Oswego. He was born and educated in India. He has been teaching in the American higher education for about four decades. He is a fellow of the Alexander von Humboldt Foundation, Germany, and a NOVA/NASA fellow. Kumar is active in the fields of atomic physics, chemical physics, history of science, and science education.

Ancient Hindu Science

To understand modern science as a coherent story, it is essential to recognize the accomplishments of the ancient Hindus. They invented our base-ten number system and zero that are now used globally, carefully mapped the sky and assigned motion to the Earth in their astronomy, developed a sophisticated system of medicine with its mind-body approach known as Ayurveda, mastered metallurgical methods of extraction and purification of metals, including the so-called Damascus blade and the Iron Pillar of New Delhi, and developed the science of self-improvement that is popularly known as yoga. Their scientific contributions made impact on noted scholars globally: Aristotle, Megasthenes, and Apollonius of Tyana among the Greeks; Al-Biruni, Al-Khwarizmi, Ibn Labban, and Al-Uqlidisi, Al-Ja?iz among the Islamic scholars; Fa-Hien, Hiuen Tsang, and I-tsing among the Chinese; and Leonardo Fibbonacci, Pope Sylvester II, Roger Bacon, Voltaire and Copernicus from Europe. In the modern era, thinkers and scientists as diverse as Ralph Waldo Emerson, Johann Wolfgang von Goethe, Johann Gottfried Herder, Carl Jung, Max Müller, Robert Oppenheimer, Erwin Schrödinger, Arthur Schopenhauer, and Henry David Thoreau have acknowledged their debt to ancient Hindu achievements in science, technology, and philosophy. The American Association for the Advancement of Science (AAAS), one of the largest scientific organizations in the world, in 2000, published a timeline of 100 most important scientific finding in history to celebrate the new millennium. There were only two mentions from the non-Western world: (1) invention of zero and (2) the Hindu and Mayan skywatchers astronomical observations for agricultural and religious purposes. Both findings involved the works of the ancient Hindus. The Ancient Hindu Science is well documented with remarkable objectivity, proper citations, and a substantial bibliography. It highlights the achievements of this remarkable civilization through painstaking research of historical and scientific sources. The style of writing is lucid and elegant, making the book easy to read. This book is the perfect text for all students and others interested in the developments of science throughout history and among the ancient Hindus, in particular.

Its Transmission and Impact on World Cultures

Characterization of Manipulator Geometry

Master the ML process, from pipeline development to model deployment in production. KEY FEATURES ● Prime focus on feature-engineering, model-exploration & optimization, dataops, ML pipeline, and scaling ML API. ● A step-by-step approach to cover every data science task with utmost efficiency and highest performance. ● Access to advanced data engineering and ML tools like AirFlow, MLflow, and ensemble techniques. DESCRIPTION 'Practical Full-Stack Machine Learning' introduces data professionals to a set of powerful, open-source tools and concepts required to build a complete data science project. This book is written in Python, and the ML solutions are language-neutral and can be applied to various software languages and concepts. The book covers data pre-processing, feature management, selecting the best algorithm, model performance optimization, exposing ML models as API endpoints, and scaling ML API. It helps you learn how to use cookiecutter to create reusable project structures and templates. It explains DVC so that you can implement it and reap the same benefits in ML projects.It also covers DASK and how to use it to create scalable solutions for pre-processing data tasks. KerasTuner, an easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search will be covered in this book. It explains ensemble techniques such as bagging, stacking, and boosting methods and the ML-ensemble framework to easily and effectively implement ensemble learning. The book also covers how to use Airflow to automate your ETL tasks for data preparation. It explores MLflow, which allows you to train, reuse, and deploy models created with any library. It teaches how to use fastAPI to expose and scale ML models as API endpoints. WHAT YOU WILL LEARN ● Learn how to create reusable machine learning pipelines that are ready for production. ● Implement scalable solutions for pre-processing data tasks using DASK. ● Experiment with ensembling techniques like Bagging, Stacking, and Boosting methods. ● Learn how to use Airflow to automate your ETL tasks for data preparation. ● Learn MLflow for training, reprocessing, and deployment of models created with any library. ● Workaround cookiecutter, KerasTuner, DVC, fastAPI, and a lot more. WHO THIS BOOK IS FOR This book is geared toward data scientists who want to become more proficient in the entire process of developing ML applications from start to finish. Knowing the fundamentals of machine learning and Keras programming would be an essential requirement. TABLE OF CONTENTS 1. Organizing Your Data Science Project 2. Preparing Your Data Structure 3. Building Your ML Architecture 4. Bye-Bye Scheduler, Welcome Airflow 5. Organizing Your Data Science Project Structure 6. Feature Store for ML 7. Serving ML as API

A Guide to Build Reliable, Reusable, and Production-Ready Full Stack ML Solutions (English Edition)

Practical Full Stack Machine Learning

The Art of War is an ancient Chinese military treatise attributed to Sun Tzu, a high-ranking military general, strategist and tactician. The text is composed of 13 chapters, each of which is devoted to one aspect of warfare. It is commonly known to be the definitive work on military strategy and tactics of its time. For the last two thousand years remained the most important military treatise in Asia, where even the common people knew it by name. It has had an influence on Eastern and Western military thinking, business tactics, legal strategy and beyond.

Hindi Translation of Sun Tuz's the Art of War

"Spy from Unaula takes us to a small sleepy village of Unaula and shows the simple joys, trials and tribulations of Ramchandra's life. Coming from meager means, Ramchandra overcomes unimaginable odds and his dexterous attitude lets him elevate himself from a lowly life. Having lost his mother early, and father averse to the idea of education, he seeks help from his rebellious brother to be able to pursue his dream of being well educated and a career of an officer in the armed forces. This dream did not come easy as the social obligations and customs of those times compelled him to take drastic decisions to fulfill his dreams. In search of a livelihood and bagful of dreams he travels to the ""City of Dreams"" of his time in search of opportunities that would fulfill his dreams. From the famous Mills of Mumbai to being a cycle rickshaw driver in Agra, he consistently moves slowly and steadily towards his goals without complaining of any hardships he bore. Luck favours the brave, and once opportunity struck he seized the opportunity to train himself in the skills needed to land a government job. Starting from the lowest civilian ranks he moves up with an exciting job in Military Intelligence, eventually becoming a spy. The three wars of 1962 with China and 1965 and 1971 with Pakistan were action packed for Ramchandra. Breaking codes, analyzing information over radio to interrogating the war prisoners and eventually participating in the liberation of Bangladesh in 1971 opens up the secret world of intelligence and spying in those times. From war duties to political unrest and busting espionage rings in the country, Ramchandra never failed to find excitement on his job, while his struggle to ensure that his children found the best education, which he himself struggled to get, never ceased inspite of all odds. This book will appeal to readers with its sharp-drawn perspective of life and the journey of a man with a dream and a lot of action from the secret quarters of covert intelligence agencies."

Alok Kumar

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