jeyadev needhi (23 risultati)

Condizione: New.

Paperback. Condizione: Brand New. 41 pages. 6.00x0.10x9.00 inches. In Stock.

Paperback or Softback. Condizione: New. ConVision- A Context-based Deep Learning Algorithm for Efficient Lane Detection. Book.

Paperback. Condizione: Brand New. 199 pages. 6.00x0.45x9.00 inches. In Stock.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Zero to Hundred ML: Climb the Machine Learning Ladder from Beginner to Boss in 100 Steps is your all-in-one playbook for mastering machine learning-crafted by real-world engineers and researchers from Appian, Amazon, Apple, and FedEx (A3F). Whether you're a total beginner or an experienced developer exploring ML, this book takes you on a self-paced, structured journey through 100 practical, project-based steps designed to build your expertise one layer at a time. The book starts with the very basics-Python programming, linear algebra, probability, and statistics-before moving into core machine learning concepts such as regression, classification, clustering, and evaluation metrics. It then dives deep into modern AI techniques including neural networks, CNNs, RNNs, transformers, and generative models like GANs and autoencoders. But this isn't just another theory-heavy guide. Each chapter is designed to be actionable-with hands-on coding exercises, real datasets, and mini-projects that you can build, tweak, and deploy. You'll create models for tasks like emotion detection, fraud detection, recommendation systems, forecasting, sentiment analysis, and even multimodal AI applications combining text and images. In the production phase, you'll learn how to build APIs, set up CI/CD pipelines, deploy models using tools like Docker and MLflow, and monitor for drift and performance in real-world environments. The final section focuses on careers: ML interview prep, resume building, portfolio creation, open-source contribution, and specialization tracks for MSCS or industry roles. Whether you're preparing for grad school, switching to a data role, or launching your own startup, this book equips you with the mindset, skills, and toolkit to thrive in the evolving world of ML. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 200 pp. Englisch.

Paperback. Condizione: new. Paperback. Zero to Hundred ML: Climb the Machine Learning Ladder from Beginner to Boss in 100 Steps is your all-in-one playbook for mastering machine learning-crafted by real-world engineers and researchers from Appian, Amazon, Apple, and FedEx (A3F). Whether you're a total beginner or an experienced developer exploring ML, this book takes you on a self-paced, structured journey through 100 practical, project-based steps designed to build your expertise one layer at a time. The book starts with the very basics-Python programming, linear algebra, probability, and statistics-before moving into core machine learning concepts such as regression, classification, clustering, and evaluation metrics. It then dives deep into modern AI techniques including neural networks, CNNs, RNNs, transformers, and generative models like GANs and autoencoders. But this isn't just another theory-heavy guide. Each chapter is designed to be actionable-with hands-on coding exercises, real datasets, and mini-projects that you can build, tweak, and deploy. You'll create models for tasks like emotion detection, fraud detection, recommendation systems, forecasting, sentiment analysis, and even multimodal AI applications combining text and images. In the production phase, you'll learn how to build APIs, set up CI/CD pipelines, deploy models using tools like Docker and MLflow, and monitor for drift and performance in real-world environments. The final section focuses on careers: ML interview prep, resume building, portfolio creation, open-source contribution, and specialization tracks for MSCS or industry roles. Whether you're preparing for grad school, switching to a data role, or launching your own startup, this book equips you with the mindset, skills, and toolkit to thrive in the evolving world of ML. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Dive into the cutting-edge world of artificial intelligence with ''ConVision- A Context-based Deep Learning Algorithm for Efficient Lane Detection.'' This comprehensive volume brings together six groundbreaking research studies, each meticulously designed and implemented with IEEE-level formulas, simulations, and equations.Discover how theoretical insights are seamlessly transformed into practical applications, enhancing various AI domains. From sophisticated simulations to robust implementations, this book showcases innovative approaches that push the boundaries of AI technology. Whether you're a researcher, practitioner, or enthusiast, this book offers a deep understanding of AI's core principles and real-world impact.Authored by experts in the field, this volume is a must-read for anyone seeking to stay at the forefront of AI research and application. Get ready to explore the future of artificial intelligence and its transformative potential.Praise for Advances in Artificial Intelligence:''A remarkable collection of innovative AI research that bridges the gap between theory and practice.'' - Dr. Jane Smith, AI Researcher''Essential reading for anyone involved in AI development and application.'' - TechReview MagazineTarget Audience: Researchers, Practitioners, AI Enthusiasts, and Academics.

Taschenbuch. Condizione: Neu. ConVision- A Context-based Deep Learning Algorithm for Efficient Lane Detection | Jeyadev Needhi | Taschenbuch | Englisch | 2024 | Eliva Press | EAN 9789999319317 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Paperback. Condizione: new. Paperback. Zero to Hundred ML: Climb the Machine Learning Ladder from Beginner to Boss in 100 Steps is your all-in-one playbook for mastering machine learning-crafted by real-world engineers and researchers from Appian, Amazon, Apple, and FedEx (A3F). Whether you're a total beginner or an experienced developer exploring ML, this book takes you on a self-paced, structured journey through 100 practical, project-based steps designed to build your expertise one layer at a time. The book starts with the very basics-Python programming, linear algebra, probability, and statistics-before moving into core machine learning concepts such as regression, classification, clustering, and evaluation metrics. It then dives deep into modern AI techniques including neural networks, CNNs, RNNs, transformers, and generative models like GANs and autoencoders. But this isn't just another theory-heavy guide. Each chapter is designed to be actionable-with hands-on coding exercises, real datasets, and mini-projects that you can build, tweak, and deploy. You'll create models for tasks like emotion detection, fraud detection, recommendation systems, forecasting, sentiment analysis, and even multimodal AI applications combining text and images. In the production phase, you'll learn how to build APIs, set up CI/CD pipelines, deploy models using tools like Docker and MLflow, and monitor for drift and performance in real-world environments. The final section focuses on careers: ML interview prep, resume building, portfolio creation, open-source contribution, and specialization tracks for MSCS or industry roles. Whether you're preparing for grad school, switching to a data role, or launching your own startup, this book equips you with the mindset, skills, and toolkit to thrive in the evolving world of ML. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 200 pp. Englisch.

Taschenbuch. Condizione: Neu. Zero to Hundred ML | Climb the Machine Learning Ladder from Beginner to Boss in 100 Steps | Jeyadev Needhi | Taschenbuch | Englisch | 2025 | Eliva Press | EAN 9789999329064 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.