{"product_id":"data-centric-machine-learning-with-python-the-ultimate-guide-to-engineering-and-deploying-high-quality-models-based-on-good-data-9781804618127","title":"Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data","description":"\u003cp\u003e\u003cstrong\u003eJoin the data-centric revolution and master the concepts, techniques, and algorithms shaping the future of AI and ML development, using Python\u003c\/strong\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eGrasp the principles of data centricity and apply them to real-world scenarios\u003c\/li\u003e\n\u003cli\u003eGain experience with quality data collection, labeling, and synthetic data creation using Python\u003c\/li\u003e\n\u003cli\u003eDevelop essential skills for building reliable, responsible, and ethical machine learning solutions\u003c\/li\u003e\n\u003cli\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eIn the rapidly advancing data-driven world where data quality is pivotal to the success of machine learning and artificial intelligence projects, this critically timed guide provides a rare, end-to-end overview of data-centric machine learning (DCML), along with hands-on applications of technical and non-technical approaches to generating deeper and more accurate datasets.\u003c\/p\u003e\u003cp\u003eThis book will help you understand what data-centric ML\/AI is and how it can help you to realize the potential of 'small data'. Delving into the building blocks of data-centric ML\/AI, you'll explore the human aspects of data labeling, tackle ambiguity in labeling, and understand the role of synthetic data. From strategies to improve data collection to techniques for refining and augmenting datasets, you'll learn everything you need to elevate your data-centric practices. Through applied examples and insights for overcoming challenges, you'll get a roadmap for implementing data-centric ML\/AI in diverse applications in Python.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll have developed a profound understanding of data-centric ML\/AI and the proficiency to seamlessly integrate common data-centric approaches in the model development lifecycle to unlock the full potential of your machine learning projects by prioritizing data quality and reliability.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eUnderstand the impact of input data quality compared to model selection and tuning\u003c\/li\u003e\n\u003cli\u003eRecognize the crucial role of subject-matter experts in effective model development\u003c\/li\u003e\n\u003cli\u003eImplement data cleaning, labeling, and augmentation best practices\u003c\/li\u003e\n\u003cli\u003eExplore common synthetic data generation techniques and their applications\u003c\/li\u003e\n\u003cli\u003eApply synthetic data generation techniques using common Python packages\u003c\/li\u003e\n\u003cli\u003eDetect and mitigate bias in a dataset using best-practice techniques\u003c\/li\u003e\n\u003cli\u003eUnderstand the importance of reliability, responsibility, and ethical considerations in ML\/AI\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eThis book is for data science professionals and machine learning enthusiasts looking to understand the concept of data-centricity, its benefits over a model-centric approach, and the practical application of a best-practice data-centric approach in their work. This book is also for other data professionals and senior leaders who want to explore the tools and techniques to improve data quality and create opportunities for small data ML\/AI in their organizations.\u003c\/p\u003eTable of Contents\u003col\u003e\n\u003cli\u003eExploring Data-Centric Machine Learning\u003c\/li\u003e\n\u003cli\u003eFrom Model-Centric to Data-Centric - ML's Evolution\u003c\/li\u003e\n\u003cli\u003ePrinciples of Data-Centric ML\u003c\/li\u003e\n\u003cli\u003eData Labeling Is a Collaborative Process\u003c\/li\u003e\n\u003cli\u003eTechniques for Data Cleaning\u003c\/li\u003e\n\u003cli\u003eTechniques for Programmatic Labeling in Machine Learning\u003c\/li\u003e\n\u003cli\u003eUsing Synthetic Data in Data-Centric Machine Learning\u003c\/li\u003e\n\u003cli\u003eTechniques for Identifying and Removing Bias\u003c\/li\u003e\n\u003cli\u003eDealing with Edge Cases and Rare Events in Machine Learning\u003c\/li\u003e\n\u003cli\u003eKick-Starting Your Journey in Data-Centric Machine Learning\u003c\/li\u003e\n\u003c\/ol\u003e\u003cbr\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":50407524172050,"sku":"9781804618127","price":45.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_6e4906d4-8c25-418e-ae16-883466d174f8.jpg?v=1740429575","url":"https:\/\/surprise-castle.myshopify.com\/products\/data-centric-machine-learning-with-python-the-ultimate-guide-to-engineering-and-deploying-high-quality-models-based-on-good-data-9781804618127","provider":"Surprise Castle","version":"1.0","type":"link"}