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Acupressure - Prakritik Upchar: Discover the Power of DIY Healing with Dr. Attar Singh's Book
With simple techniques and easy-to-follow instructions, this book empowers individuals to cure numerous ailments by simply applying pressure to specific acupressure points on the hands and feet. Featuring vivid diagrams charts for enhanced understanding, Dr. Attar Singh's.
Buy Veda Set of 8 Books: Sam, Rig, Yajur & Atharva Ved Sanhita by Pandit Shriram Sharma Acharya
The Veda Set of 8 Books by Pandit Shriram Sharma Acharya is a comprehensive collection that brings together the four major Vedas—Rigveda, Samaveda, Yajurveda, and Atharvaveda—in their original Samhitas (the foundational texts of Vedic knowledge).
Pandit Shriram Sharma Acharya, one of the most revered spiritual and scholarly figures of the 20th century, meticulously compiled and translated these ancient texts for contemporary readers, preserving their purity and essence while offering deep insights into their relevance today. The Veda Set of 8 Books serves as an invaluable resource for scholars, spiritual seekers, and anyone interested in exploring the rich heritage of Vedic knowledge.
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The goal of this book is to inform the readers on the capacity of the human brain when it comes to academics and learning. It's time you "Learn to Learn". The book is divided into three parts.
With his simple yet assured approach and his easy-breezy style, Ashdin not only picks the best habits for a positive outlook but also tells you how to go about making them a part of your life.
Inspired by true stories, Daksh Tyagi's witty and hugely entertaining book 'An Indian citizen's guide on how to avoid A Nation of Idiots' takes on the uncomfortable, the unsettling, and the often misunderstood modern Indian life.
FROM THE AUTHOR OF A NATION OF IDIOTS, DAKSH TYAGI, COMES THE RIVETING SIGNS OF LIFE. A genre-bending tale that takes us into the universe of an extraordinary and unusual project.
Develop strong grip on the fundamentals of Image Processing and Image Manipulation. Solve popular Image Processing problems using Machine Learning and Deep Learning models. Working knowledge on Python libraries including numpy, scipy and scikit-image. Use popular Python Machine Learning packages such as scikit-learn, Keras and pytorch. Live implementation of Facial Image Processing techniques such as Face Detection / Recognition / Parsing dlib and MTCNN