Machine learning

Solve challenging data science problems by mastering cutting-edge machine learning techniques in PythonKey Features[*] Resolve complex machine learning problems and explore deep learning[*] Learn to use Python code for implementing a range of machine learning algorithms and techniques[*] A practical tutorial that tackles real-world computing problems through a rigorous and effective approachBook DescriptionDesigned to take you on a guided tour of the most relevant and powerful machine learning techniques in use today by top data scientists, this book is just what you need to push your Python algorithms to maximum potential.

Unlock the full potential of reinforcement learning (RL), a crucial subfield of Artificial Intelligence, with this comprehensive guide.

This book gives a comprehensive introduction to natural language processing (NLP) and its applications, covering the topics of multimodal data processing, Chinese word segmentation, new word discovery, named entity recognition, keyword analysis, and knowledge graph construction in terms of semantic analysis.

Membrane computing is a class of distributed and parallel computing models inspired by living cells.

Simplify machine learning model implementations with SparkAbout This BookSolve the day-to-day problems of data science with SparkThis unique cookbook consists of exciting and intuitive numerical recipesOptimize your work by acquiring, cleaning, analyzing, predicting, and visualizing your dataWho This Book Is ForThis book is for Scala developers with a fairly good exposure to and understanding of machine learning techniques, but lack practical implementations with Spark.

This book introduces a Responsible AI framework and guides you through processes to apply at each stage of the machine learning (ML) life cycle, from problem definition to deployment, to reduce and mitigate the risks and harms found in artificial intelligence (AI) technologies.

This book offers you a hands-on experience using models from OpenAI and the Hugging Face library.

This book offers you a hands-on experience using models from OpenAI and the Hugging Face library.

WINNER: Independent Press Awards 2023 - Category: Technology AI presents a new paradigm in software development, representing the biggest change to how we think about quality and testing in decades.

WINNER: Independent Press Awards 2023 - Category: Technology AI presents a new paradigm in software development, representing the biggest change to how we think about quality and testing in decades.

Since 2011, the Fourth Industrial Revolution (IR4.

The surging predictive analytics market is expected to grow from $10.

This book gathers selected research papers presented at the Fifth International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology Jaipur, India, during December 16-17, 2023.

Agriculture is one of the most fundamental human activities.

Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories.

Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning.

This book introduces a novel perspective on machine learning, offering distinct advantages over neural network-based techniques.

Over the past decade, machine learning has come a long way, with organisations of all sizes exploring its potential to extract valuable insights from data.

This book is a comprehensive guide that explores the latest developments in anomaly detection techniques across a range of fields, including cybersecurity, finance, image processing, sensor networks, social network analysis, health systems, and IoT systems.

With the primary goal of expanding access to spatial data science tools, this book offers dozens of minimal or low-code functions and tutorials designed to ease the implementation of fully reproducible Spatial Socio-Econometric Modeling (SSEM) analyses.

Learn to use adaptive algorithms to solve real-world streaming data problems.

AI is ready for business.

Disruption resulting from the proliferation of AI is coming.

What will you do when your AI misbehaves?

This book provides insights into emerging semiconductor device technology, challenges, and solutions for harnessing solar power to produce sustainable energy and meet the escalating demand for electricity generation.

Federated Learning: Unlocking the Power of Collaborative Intelligence is a definitive guide to the transformative potential of federated learning.

This book demonstrates how to use Oracle Cloud Infrastructure (OCI) and Hugging Face technologies to develop advanced NLP solutions.

Design Optimization Using Artificial Intelligence serves as an insightful resource for understanding the transformative role of Artificial Intelligence (AI) in optimizing design processes across a variety of fields.

The main aim of the 2nd international conference on recent advances in materials manufacturing and machine learning processes-2023 (RAMMML-23) is to bring together all interested academic researchers, scientists, engineers, and technocrats and provide a platform for continuous improvement of manufactur?

Safety and Wearable Technology tackles the profound issue of workplace safety, as each day unacceptable numbers of workers lose their lives in accidents, with even more succumbing to work-related illnesses across the globe.

Discover deep learning and computer vision with SAS!

Discover deep learning and computer vision with SAS!

This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices.

Artificial Intelligence for Academic Libraries provides a clear and dependable guide to the history, theory, and application of artificial intelligence (AI) and machine learning (ML) in academic libraries, addressing the needs of librarians, staff, administrators, and other stakeholders.

Migrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time.

See how data science can answer the questions your business faces!

See how data science can answer the questions your business faces!

To cope with the competitive worldwide marketplace, organizations rely on business intelligence to an increasing extent.

Statistical quantitative methods are vital for financial valuation models and benchmarking machine learning models in finance.

Explore Snowflake's core concepts and unique features that differentiates it from industry competitors, such as, Azure Synapse and Google BigQuery.

The third edition of the bestselling Classification Methods for Remotely Sensed Data covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data.

Business intelligence applications are of vital importance as they help organizations manage, develop, and communicate intangible assets such as information and knowledge.

Understand how neural networks work and learn how to implement them using TensorFlow 2.

This book will teach you how to build recommender systems with machine learning algorithms using Python.

This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software.

Feature engineering plays a vital role in big data analytics.

This book covers modern data engineering functions and important Python libraries, to help you develop state-of-the-art ML pipelines and integration code.