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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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Arthashastra is an ancient Indian text on statecraft and governance, written by Kautilya, a philosopher and statesman. The Arthashastra ( अर्थशास्त्र, Arthaśāstra ) is an ancient Indian Sanskrit treatise on statecraft, economic policy and military strategy.[1][2][3] Kautilya, also identified as Vishnugupta and Chanakya, is traditionally credited as the author of the text.[4][5] The latter was a scholar at Takshashila, the teacher and guardian of Emperor Chandragupta Maurya.[6] Some scholars believe them to be the same person,[7] while a few have questioned this identification. |
Committing to yourself is not a selfish act, it takes courage. The author helps you take the first step in that direction by breaking free from what no longer serves you—toxic relationships, and self-destructive thinking and habits.
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