Simplifying Data Preparation For Machine Learning On Tabular Data
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Simplifying Data Preparation For Machine Learning On Tabular Data
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Author : Vraj Shah
language : en
Publisher:
Release Date : 2022
Simplifying Data Preparation For Machine Learning On Tabular Data written by Vraj Shah and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Machine learning (ML) over tabular data has become ubiquitous with applications in many domains. This success has led to the rise of ML platforms, including automated ML (AutoML) platforms to manage the end-to-end ML workflow. The tedious grunt work involved in data preparation (prep) reduces data scientist productivity and slows down the ML development lifecycle, which makes the automation of data prep even more critical. While many works have looked into feature engineering and model selection in the end-to-end ML workflows, little attention has been paid towards understanding data prep and its utility for ML. Also, automating data prep remains challenging due to several reasons such as semantic gaps and lack of ways to objectively measure accuracy. In this dissertation, we take a step towards addressing such challenges using database schema management and ML techniques to simplify, better automate, and understand the utility of ML data prep. We create new benchmark datasets, methodology for benchmarking and automating ML data prep, and devise novel empirical analyses to characterize the significance of critical data prep steps. Our work presents several critical artifacts that not only provide a systematic approach to reduce grunt work and improve the productivity of ML practitioners but also can help establish the science of building (Auto)ML platforms. Our work opens up several new research directions at the intersection of ML, data management, and ML system design.
Machine Learning With R
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Author : Brett Lantz
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-04-15
Machine Learning With R written by Brett Lantz and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-15 with Computers categories.
Solve real-world data problems with R and machine learning Key Features Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyond Harness the power of R to build flexible, effective, and transparent machine learning models Learn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett Lantz Book Description Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings. This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R. What you will learn Discover the origins of machine learning and how exactly a computer learns by example Prepare your data for machine learning work with the R programming language Classify important outcomes using nearest neighbor and Bayesian methods Predict future events using decision trees, rules, and support vector machines Forecast numeric data and estimate financial values using regression methods Model complex processes with artificial neural networks — the basis of deep learning Avoid bias in machine learning models Evaluate your models and improve their performance Connect R to SQL databases and emerging big data technologies such as Spark, H2O, and TensorFlow Who this book is for Data scientists, students, and other practitioners who want a clear, accessible guide to machine learning with R.
Aws Certified Ai Practitioner A Business Professional S Guide
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Author : Vladimir Provorov
language : en
Publisher: Cloud City Press
Release Date : 2025-04-27
Aws Certified Ai Practitioner A Business Professional S Guide written by Vladimir Provorov and has been published by Cloud City Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-27 with Computers categories.
AWS Certified AI Practitioner: A Business Professional's Guide An exam study guide for AWS exam AIF-C01 Second Edition (April 2025) Unlock the Power of AI on AWS – For Business Professionals Are you a business analyst, project manager, or IT professional looking to harness the potential of AI in your organization? Do you need to understand AI/ML capabilities on AWS without diving deep into the technical implementation? This comprehensive study guide is your key to mastering the AWS Certified AI Practitioner exam (AIF-C01) and advancing your career in the AI-driven business landscape. What You'll Learn: Fundamental concepts of AI, ML, and generative AI in business contexts How to identify and evaluate AI opportunities within your organization Best practices for implementing and managing AI projects on AWS Essential AWS AI services and their business applications Strategies for ensuring responsible and ethical AI development Exam Preparation: All domains and topics of the AWS Certified AI Practitioner exam 70 practice questions and detailed answers for self-assessment and exam readiness Real-world scenarios to test your understanding of AI concepts in business settings Dozens of diagrams, summary tables, and hundreds of links for further reading Perfect for: Business analysts and IT support professionals Marketing and sales professionals Product and project managers Line-of-business and IT managers Written by an experienced AWS Solutions Architect, this unofficial guide translates complex AI concepts into easy-to-understand language for non-technical professionals. With real-world examples, practice questions, and actionable insights, you'll gain the confidence to contribute effectively to AI initiatives and make informed decisions about AI technologies. Prepare for the AWS Certified AI Practitioner exam and position yourself as a valuable asset in the AI revolution. Start your journey to becoming an AI-savvy business professional today!
Simplify Your Ai Journey Unleashing The Power Of Ai With Ibm Watsonx Ai
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Author : Deepak Rangarao
language : en
Publisher: IBM Redbooks
Release Date : 2025-01-31
Simplify Your Ai Journey Unleashing The Power Of Ai With Ibm Watsonx Ai written by Deepak Rangarao and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Computers categories.
IBM® watsonxTM is IBM’s strategic AI and data platform. This book focuses on watsonx.ai, one of the three main components of the platform. IBM watsonx.ai is a next-generation enterprise studio that you can use to train, validate (test), tune, and deploy both traditional ML and new gen AI capabilities, which are powered by FMs through an open and intuitive user interface (UI). This AI studio provides a range of FMs, training and tuning tools, and a cost-effective infrastructure that facilitates the entire data and AI lifecycle, from data preparation through model development, deployment, and monitoring. The studio also includes an FM library that provides IBM® curated and trained FMs. FMs use a large, curated set of enterprise data that is backed by a robust filtering and cleansing process, and with an auditable data lineage. These models are trained on language and other modalities, such as code, time-series data, tabular data, geospatial data, and IT events data. Here are some examples of the model categories: fm.code: Models that automatically generate code for developers through a natural-language interface to boost developer productivity and enable the automation of many IT tasks. fm.NLP: A collection of large language models (LLMs) for specific or industry-specific domains that use curated data to help mitigate bias and quickly make domains customizable by using client data. fm.geospatial: Models that are built on climate and remote sensing data to help organizations understand and plan for changes in natural disaster patterns, biodiversity, land use, and other geophysical processes that might impact their businesses The watsonx.ai studio builds on Hugging Face open-source libraries, which offer thousands of Hugging Face open models and datasets. Users can leverage the power of IBM Granite LLMs, along with the latest Mistral, Llama, and other third-party LLMs. It is part of IBM's commitment to deliver an open ecosystem approach that enables users to leverage the best models and architecture for their unique business needs. This IBM Redbooks publication provides a broad understanding of watsonx.ai concepts, its architecture, and the services that are available with the product. Also, several common use cases and scenarios are included that should help you better understand the capabilities of this product. Code samples of common scenarios are available at this GitHub repository: https://github.com/IBM/watson-machine-learning-samples For more examples, which include using Instructlab and AI agents, see this GitHub repository: https://github.com/IBM/watsonx-ai-platform-demos This publication is for watsonx customers who seek best practices and real-world examples of how to best implement their solutions while optimizing the value of their existing and future technology, AI, data, and skills investments. Here are the other books in the trilogy: Simplify Your AI Journey: Ensuring Trustworthy AI with IBM watsonx.governance, SG24-8573 Simplify Your AI Journey: Unleashing the Power of AI with IBM watsonx.data, SG24-8570
How Machines Learn Simplified Ai Concepts A Simple Guide To Big Ideas Pdf
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Author : Nova Martian
language : en
Publisher: Walzone Press
Release Date : 2025-05-31
How Machines Learn Simplified Ai Concepts A Simple Guide To Big Ideas Pdf written by Nova Martian and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-31 with Computers categories.
In "How Machines Learn (Simplified AI Concepts): A Simple Guide to Big Ideas," readers embark on an accessible journey through the fundamentals of artificial intelligence and machine learning. The book begins by demystifying the nature of intelligence, mapping its evolution from human cognition to the algorithms powering modern technology. Through engaging historical context and real-world examples, it dismantles common myths, clarifies essential concepts, and explores how data and algorithms work in tandem to bring AI into our everyday lives. The guide methodically unpacks the building blocks of machine learning, covering supervised, unsupervised, and reinforcement learning in clear, understandable language. Each type is illustrated with relatable scenarios, such as spam detection and anomaly discovery, while illuminating core ideas like training, features, and dealing with common challenges such as bias or overfitting. Further, it introduces neural networks and deep learning, explaining both the transformative impact and the limitations of these technologies, as well as practical techniques for preparing data, evaluating models, and ensuring trustworthiness through explainable AI. Concluding with a thoughtful exploration of ethics, societal impact, and the future of AI, the book emphasizes responsible innovation and the enduring role of human judgment. It examines not only the opportunities brought by AI but also the critical questions around fairness, privacy, and accountability. Balancing technical clarity with big-picture insights, "How Machines Learn" is an ideal starting point for students, professionals, and enthusiasts eager to understand and thoughtfully navigate our increasingly AI-driven world.
Ai Engineering Productivity Cookbook
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Author :
language : en
Publisher: Intellias Global Limited
Release Date : 2024-10-09
Ai Engineering Productivity Cookbook written by and has been published by Intellias Global Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-09 with Computers categories.
Unleash the potential of AI in software engineering for higher productivity and reduced time-to-market Realize the power of AI-assisted engineering for your business needs with our comprehensive AI Engineering Productivity Cookbook, designed for Engineering, Product, and Innovation teams. Based on Intellias 4-month AI Copilot Implementation program, our experts will guide you through integrating AI coding tools into your development processes, optimizing your workflow, and driving innovation. This playbook is your essential companion, whether you are leading a digital-native startup or navigating the digital transformation of a traditional enterprise. Explore how to effectively fuse AI into your software development lifecycle: From AI Theory to Practice Bridge the gap between AI’s potential and practical implementation strategies to accelerate your projects and address the challenges of technology evolution. AI-Assisted Engineering Learn how AI tools can automate routine coding tasks, improve code quality, and reduce time to market, all aimed at scaling development efforts without sacrificing quality. Advanced AI Features Discover advanced AI functionality that can predict development challenges, suggest optimizations, and personalize development strategies to fit your specific needs. Collaborative Development with AI Learn how AI can promote better interoperability among your development team, making remote and hybrid work environments more efficient and connected. Ethical Considerations and Security Practices Make sure your AI implementations maintain high security standards and adhere to regulatory requirements as well as ethical considerations, essential for preserving trust and integrity in your software. Building AI Products from Business and User Perspectives Align AI product development with business objectives and user expectations to create solutions that not only perform well but also deliver but also deliver on the promise of enhanced customer satisfaction and engagement. The Future of AI in Software Development Stay informed about the future trends of AI in the tech industry and prepare your team for upcoming innovations and shifts in the software development paradigm.
Ultimate Azure Data Scientist Associate Dp 100 Certification Guide Simplified Concepts And Effective Ml Solutions To Crack The Azure Data Scientist Dp 100 Exam
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Author : Rajib Kumar
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-06-26
Ultimate Azure Data Scientist Associate Dp 100 Certification Guide Simplified Concepts And Effective Ml Solutions To Crack The Azure Data Scientist Dp 100 Exam written by Rajib Kumar and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-26 with Computers categories.
Empower Your Data Science Journey: From Exploration to Certification in Azure Machine Learning Key Features● Offers deep dives into key areas such as data preparation, model training, and deployment, ensuring you master each concept. ● Covers all exam objectives in detail, ensuring a thorough understanding of each topic required for the DP-100 certification. ● Includes hands-on labs and practical examples to help you apply theoretical knowledge to real-world scenarios, enhancing your learning experience. Book DescriptionUltimate Azure Data Scientist Associate (DP-100) Certification Guide is your essential resource for achieving the Microsoft Azure Data Scientist Associate certification. This guide covers all exam objectives, helping you design and prepare machine learning solutions, explore data, train models, and manage deployment and retraining processes. The book starts with the basics and advances through hands-on exercises and real-world projects, to help you gain practical experience with Azure's tools and services. The book features certification-oriented Q&A challenges that mirror the actual exam, with detailed explanations to help you thoroughly grasp each topic. Perfect for aspiring data scientists, IT professionals, and analysts, this comprehensive guide equips you with the expertise to excel in the DP-100 exam and advance your data science career. What you will learn ● Design and prepare effective machine learning solutions in Microsoft Azure. ● Learn to develop complete machine learning training pipelines, with or without code. ● Explore data, train models, and validate ML pipelines efficiently. ● Deploy, manage, and optimize machine learning models in Azure. ● Utilize Azure's suite of data science tools and services, including Prompt Flow, Model Catalog, and AI Studio. ● Apply real-world data science techniques to business problems. ● Confidently tackle DP-100 certification exam questions and scenarios. Table of Contents1. Introduction to Data Science and Azure 2. Setting Up Your Azure Environment 3. Data Ingestion and Storage in Azure 4. Data Transformation and Cleaning 5. Introduction to Machine Learning 6. Azure Machine Learning Studio 7. Model Deployment and Monitoring 8. Embracing AI Revolution Azure 9. Responsible AI and Ethics 10. Big Data Analytics with Azure 11. Real-World Applications and Case Studies 12. Conclusion and Next Steps Index
Data Wrangling
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Author : M. Niranjanamurthy
language : en
Publisher: John Wiley & Sons
Release Date : 2023-06-16
Data Wrangling written by M. Niranjanamurthy and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-16 with Technology & Engineering categories.
DATA WRANGLING Written and edited by some of the world's top experts in the field, this exciting new volume provides state-of-the-art research and latest technological breakthroughs in data wrangling, its theoretical concepts, practical applications, and tools for solving everyday problems. Data wrangling is the process of cleaning and unifying messy and complex data sets for easy access and analysis. This process typically includes manually converting and mapping data from one raw form into another format to allow for more convenient consumption and organization of the data. Data wrangling is increasingly ubiquitous at today’s top firms. Data cleaning focuses on removing inaccurate data from your data set whereas data wrangling focuses on transforming the data's format, typically by converting "raw" data into another format more suitable for use. Data wrangling is a necessary component of any business. Data wrangling solutions are specifically designed and architected to handle diverse, complex data at any scale, including many applications, such as Datameer, Infogix, Paxata, Talend, Tamr, TMMData, and Trifacta. This book synthesizes the processes of data wrangling into a comprehensive overview, with a strong focus on recent and rapidly evolving agile analytic processes in data-driven enterprises, for businesses and other enterprises to use to find solutions for their everyday problems and practical applications. Whether for the veteran engineer, scientist, or other industry professional, this book is a must have for any library.
A Simplified Guide To Automatic Data Processing
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Author : William A. Bocchino
language : en
Publisher:
Release Date : 1972
A Simplified Guide To Automatic Data Processing written by William A. Bocchino and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Computers categories.
Incorporating Machine Learning In Knowledge Based Process Planning Systems
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Author : Anil K. Bera
language : en
Publisher:
Release Date : 1989
Incorporating Machine Learning In Knowledge Based Process Planning Systems written by Anil K. Bera and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Equilibrium (Economics). categories.