Doshi ruchi (101 Ergebnisse)

Paperback. Zustand: Fair. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

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. . …

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.

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.…

Zustand: New.

Paperback. Zustand: New. 2nd edition. The book covers the concepts of Python programming language along with mobile application development. Starting from fundamentals, the book continues with the explanation of mobile app development using Kivy framework. All the chapters offer questions and exercises for to better understanding of the subject. This second revised and updated edition covers the most recent developments in Kivy since the publishing of the first edition.…

Paperback. Zustand: New. 2nd edition. The book covers the concepts of Python programming language along with mobile application development. Starting from fundamentals, the book continues with the explanation of mobile app development using Kivy framework. All the chapters offer questions and exercises for to better understanding of the subject. This second revised and updated edition covers the most recent developments in Kivy since the publishing of the first edition.…

perfect. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New. pp. 306.

Paperback. Zustand: New. This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence.…

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: Brand New. 2nd edition. 350 pages. 9.45x6.70x9.61 inches. In Stock.

Zustand: New.

Zustand: New.

Zustand: New. In English.

Zustand: New.

Zustand: New.

Zustand: New.

Paperback. Zustand: New. 2nd edition. The book covers the concepts of Python programming language along with mobile application development. Starting from fundamentals, the book continues with the explanation of mobile app development using Kivy framework. All the chapters offer questions and exercises for to better understanding of the subject. This second revised and updated edition covers the most recent developments in Kivy since the publishing of the first edition.…

Paperback. 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.

Zustand: As New. Unread book in perfect condition.

Zustand: new.

Paperback. Zustand: Brand New. 318 pages. 6.14x0.72x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 272 pages. 6.14x0.60x9.21 inches. In Stock.

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.

Paperback. Zustand: New. This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence.…

perfect. Zustand: Wie neu. 359 Seiten; 9783110689389.1 Gewicht in Gramm: 1.