Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you …
Your one-stop guide to becoming a Machine Learning expert. About This Book - Learn to develop efficient and intelligent applications …
Build a Keras model to scale and deploy on a Kubernetes cluster Artificial Intelligence (AI) has, in one form or …
This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine learning and …
Build, scale, and deploy deep neural network models using the star libraries in PythonKey Features Delve into advanced machine learning …
Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Key Features Gain a fundamental …
Apply cutting-edge AI techniques to your Dynamics 365 environment to create new solutions to old business problems In Machine Learning …
All cloud architects need to know how to build data platforms—the key to enabling businesses with data and delivering enterprise-wide …
Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book …
Written by the core Optimus team, this comprehensive guide will help you to understand how Optimus improves the whole data …
Migrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This …
Solve business problems with data-driven techniques and easy-to-follow Python examplesKey FeaturesEssential coverage on statistics and data science techniques.Exposure to Jupyter, …
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD …
From a review of the first edition: "Modern Data Science with R… is rich with examples and is guided by …
Understand the key aspects and challenges of machine learning interpretability, learn how to overcome them with interpretation methods, and leverage …
Interpretable Machine Learning 2ed(2022) [Molnar] [9798411463330]
A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature …
This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for Data Science, using only the …
Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a …
An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the …
The book presents the confluence of wearable and wireless inertial sensor systems, such as a smartphone, for deep brain stimulation …
This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and automated machine learning …
''This book provides a comprehensive overview of various data mining tools and techniques that are increasingly being used by researchers …
Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts.
While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff …
This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. …
FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNINGThe book provides a practical approach by explaining the concepts of machine learning …
Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts …
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and …
Winner of the 2014 Technometrics Ziegel Prize for Outstanding Book Applied Predictive Modeling covers the overall predictive modeling process, beginning …
The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in …
Learn the principles of quantum machine learning and how to apply themWhile focus is on financial use cases, all the …
Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In Build …
The neural network -- Training feed-forward neural networks -- Implementing neural networks in TensorFlow -- Beyond gradient descent -- Convolutional …
![Interpretable Machine Learning 2ed(2022) [Molnar] [9798411463330]](https://s3.refhub.ir/images/thumb/Interpretable_Machine_Learning_2ed_2022___Mol_31481.webp)
![Explainable Artificial Intelligence - An Introduction to XAI (2021) [Kamath Liu] [9783030833558]](https://s3.refhub.ir/images/thumb/Explainable_Artificial_Intelligence_-_An_Intr_34592.webp)
