doshi ruchi (14 Ergebnisse)

perfect. Zustand: Very Good.

Paperback. Zustand: Very Good. Cloud Computing: Master the Concepts, Architecture and Applications with Real-world examples and Case studies This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

Soft cover. Zustand: New. Concepts of Machine Learning with Practical Approaches. KEY FEATURES Includes real-scenario examples to explain the working of Machine Learning algorithms. Includes graphical and statistical representation to simplify modeling Machine Learning and Neural Networks. Full of Python codes, numerous exercises, and model question papers for data science students. DESCRIPTION The book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches. This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Naïve Bayes classifier Decision Tree, K-nearest neighbor, Logistic Regression, Support Vector Machine, Random forest algorithms, Unsupervised Machine Learning algorithms such as k-means clustering, Hierarchical Clustering, Probabilistic clustering, Association rule mining, Apriori Algorithm, f-p growth algorithm, Gaussian mixture model and Reinforcement Learning algorithm such as Markov Decision Process (MDP), Bellman equations, policy evaluation using Monte Carlo, Policy iteration and Value iteration, Q-Learning, State-Action-Reward-State-Action (SARSA). It also includes various feature extraction and feature selection techniques, the Recommender System, and a brief overview of Deep Learning. By the end of this book, the reader can understand Machine Learning concepts and easily implement various ML algorithms to real-world problems.

Paperback. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Zustand: New. T. Barua, REGex K. Kant Hiran, Symb. Univ. of Appl. Sc. A. Sharma, Maharishi Markandeshwar, India R. Doshi, Univ. Azteca, Mexico.The book covers the concepts of Python program.

Kartoniert / Broschiert. Zustand: New. Tarkeshwar Barua, Blue Crest Univ., Liberia Kamal Kant Hiran, Sir Padampat Singhania University, India Ritesh Kumar Jain, Geetanjali Inst. of Tech. Studies, India Doshi Ruchi, Universidad Azteca, Mexi.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 437 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: New.

Zustand: New.

Hardcover. Zustand: Brand New. 352 pages. 9.19x6.13x9.21 inches. In Stock.

Zustand: New.

Hardcover. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardcover. Zustand: Brand New. 344 pages. 9.18x6.12x9.21 inches. In Stock.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 572 | Sprache: Englisch | Produktart: Bücher | A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AI's rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education.