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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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One of the first books by women digital network marketers Video Interviews with top leaders, sharing their tips & strategies.
Key Features
● Covers methods to streamlining project completion and optimising budgets.
● Includes techniques for resolving business problems and optimising EVM.
● Examines project crashing strategies, linear programming solutions, and the Solver tool.
Key Features
● Get familiar with all the state-of-the-art classification algorithms for machine learning.
● Understand the mathematical foundations behind building machine learning models.
● Learn how to apply machine learning models to solve real-world industry problems.
Key Features
● Start your journey to become an AI expert today.
● Learn how to build AI solutions to solve complex problems in your organization.
● Get familiar with different No-code AI tools and platforms.
The book will be divided into chapters based on primary Machine Learning topics like Classification, Regression, Clustering, Deep Learning, Text Mining, etc. The book will also explain different techniques of putting Machine Learning models into production-grade systems using Big Data or Non-Big Data flavors and standards for exporting models.