Aruchamy (180 Ergebnisse)

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Paperback. Zustand: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

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Paperback. Zustand: New. The important aspects of nutrition, drugs and vaccines are explained in a simple manner so that it will be easily understood. Combination of drugs can be dangerous and should be avoided as far as possible. The indications, contraindications, adverse effects of various medicines and vaccines are discussed in detail which will be helpful for the monitoring of patients.Designed for medical students which will help them to understand various facts in nutrition such as positive and negative aspects of nutrition, feeding and various other nutritional factors.Basics of x-rays and radiological features of various clinical conditions are discussed in detail.Indications, contraindications and adverse effects of various medicine and vaccines are discussed in detail.Mnemonics for easy remembrance and recollection.…

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Zustand: New. pp. 743.

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Zustand: New. pp. 743 6th Edition.

Zustand: New. pp. 743.

Zustand: New. Explains the important aspects of nutrition, drugs and vaccines in a simple manner to be easily understood. The indications, contraindications, adverse effects of various medicines and vaccines are discussed in detail.

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Taschenbuch. Zustand: Neu. Neuware.

Paperback. Zustand: New. The important aspects of nutrition, drugs and vaccines are explained in a simple manner so that it will be easily understood. Combination of drugs can be dangerous and should be avoided as far as possible. The indications, contraindications, adverse effects of various medicines and vaccines are discussed in detail which will be helpful for the monitoring of patients.Designed for medical students which will help them to understand various facts in nutrition such as positive and negative aspects of nutrition, feeding and various other nutritional factors.Basics of x-rays and radiological features of various clinical conditions are discussed in detail.Indications, contraindications and adverse effects of various medicine and vaccines are discussed in detail.Mnemonics for easy remembrance and recollection.…

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Hardback. Zustand: New. 1st. Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM.…

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Hardcover. Zustand: new. Hardcover. Transform the future of sustainable farming with this guide to mastering deep reinforcement learning architectures and algorithms that turn complex environmental data into precise, high-yield decisions for climate-smart agriculture. It conveys the importance of deep reinforcement learning and its technological advancements across climate-smart agriculture applications, addresses challenges related to privacy, security, and scalability of climatic and agricultural data, and explains reinforcement learning from AI and optimal control perspectives. The book explores advanced solutions such as meta learning, hierarchical learning, multi-agent learning, and imitation learning, emphasizing modern frameworks, algorithms, tools, and decision-making systems that support farmers through intelligent, data-driven applications. A machine learning method called reinforcement learning trains computers to make decisions that produce optimal outcomes by learning through trial and error. Applicable across robotics, autonomous vehicles, healthcare, finance, and agriculture, reinforcement learning plays a critical role in modern intelligent systems. This book provides a detailed analysis of climate-smart agriculture, examining farmers challenges, current technology-enabled systems, and deep reinforcement learning frameworks, algorithms, and architectures. It also addresses data privacy, security, and scalability issues in applications such as yield prediction, crop management, disease prediction, soil health monitoring, precision agriculture, and environmental monitoring. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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