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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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At least one-third of the people we know are introverts. They are the ones who prefer listening to speaking; who innovate and create but dislike self-promotion; who favor working on their own over working in teams. It is to introverts—Rosa Parks, Chopin, Dr. Seuss, Steve Wozniak—that we owe many of the great contributions to society.
This book illuminates the spectrum of human reactions and offers a roadmap to inner tranquility. It carries a clear, uncomplicated vision: Embrace life wholeheartedly, irrespective of your circumstances and find true fulfillment.
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