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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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Buy Environmental Change and Sustainable Development in the New Millennium by Dr. Mohan Panwar
Buy Revisiting Medival Tekangana and Andhra Regions a Historical Insight by R. Varalakshmi
Win Every Argument shows how anyone can communicate with confidence, rise above the tit for tats on social media, and triumph in a successful and productive debate in the real world.
This chapter explains how to select object and change with the selection tool. The focus of this chapter is modifying individual paths by cutting, combining and adjusting them. Chapter 5- Describes the working with Color, Gradient and Mesh. It explains how to use Color, Swatches and Stroke panels as well as how to create and edit gradients.
Key Features
● Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical.
● Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects.
● Everything is concise, up-to-date, and visually explained with simplified mathematics.