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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.
International Petrochemical Scenario, Petrochemical from Refinery, Feedstock and Petroleum Industry, Petrochemicals from Fluidized Catalytic Cracking Process
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Buy Export Potential of Manufacturing Sector of Uttar Pradesh by Nidhi Sharma
Buy Panchayat Raj and Rural Development: Experiences & Perspectives by S. S. Rawat
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.
Let "Looking Back, Moving Forward" be your transformative companion, unleashing your team's full potential. Revolutionize your approach and leave a lasting impact on your organization's success.
In this book, you will learn how ML grew from a desire to make computers able to learn. Trace the development of Machine Learning from the early days of a computer learning how to play checkers, to machines able to beat world masters in chess and go. Understand how large data is so important to Machine Learning, and how the collection of massive amounts of data provides Machine Learning programmers with the information they need to developing learning algorithms.