“…Experienced data scientists will also find this book helpful for rapidly exploring, building, and deploying a broader range of models. …”

“…He has been working on data for over five years, first as a data scientist and then as a data engineer. He can talk endlessly about big data pipelines, data infrastructure, and his unwavering devotion to Python. …”

“…This is where skillful data analysts and data scientists come into play, wrangling and exploring data to generate valuable business insights. …”

“…By introducing a specific ecology problem to the GIS scientists and spatial computing scientists, we hope to kick-start an interdisciplinary effort to develop methods, metrics and other solutions that will integrate analysis of dynamic anthropogenic activity, such as human mobility, into the study of animal movement…”

“…Next, the book shows you how H2O Enterprise Steam handles admin configurations and user management, and then helps you to identify different stakeholder perspectives that a data scientist must understand in order to succeed in an enterprise setting. …”

“…This book is ideal for you if you're a data and AI scientist, AI/ML engineer, AI/ML product manager, AI product owner, AI/ML researcher, and UX and HCI researcher…”

“…Unleashing Your Data with Power BI Machine Learning and OpenAI is designed for data scientists and BI professionals seeking to improve their existing solutions and workloads using AI. …”

“…What you will learn Find the right use cases and datasets for pretraining and fine-tuning Prepare for large-scale training with custom accelerators and GPUs Configure environments on AWS and SageMaker to maximize performance Select hyperparameters based on your model and constraints Distribute your model and dataset using many types of parallelism Avoid pitfalls with job restarts, intermittent health checks, and more Evaluate your model with quantitative and qualitative insights Deploy your models with runtime improvements and monitoring pipelines Who this book is for If you're a machine learning researcher or enthusiast who wants to start a foundation modelling project, this book is for you. Applied scientists, data scientists, machine learning engineers, solution architects, product managers, and students will all benefit from this book. …”

“…Write efficient and powerful KQL queries to query and visualize your data and implement best practices to improve KQL execution performance Key Features Apply Azure Data Explorer best practices to manage your data at scale and reduce KQL execution time Discover how to query and visualize your data using the powerful KQL Manage cluster performance and monthly costs by understanding how to size your ADX cluster correctly Book Description Azure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you rapidly explore and query your data at scale and secure your ADX clusters. …”

“…What you will learn Customize models that are built for different datasets, model architectures, and optimizers Understand how a variety of Deep Learning models from image recognition and time series to GANs, semi-supervised and self-supervised models can be built Use out-of-the-box model architectures and pre-trained models using transfer learning Run and tune DL models in a multi-GPU environment using mixed-mode precisions Explore techniques for model scoring on massive workloads Discover troubleshooting techniques while debugging DL models Who this book is for This deep learning book is for citizen data scientists and expert data scientists transitioning from other frameworks to PyTorch Lightning. …”

“…It is ideal for data analysts, engineers, BI professionals, data scientists, DBAs, and IT professionals who want to optimize data workflows, leverage advanced features, and gain insights into access control in a cloud-based environment. …”

“…This will also benefit aspiring data scientists, machine learning engineers, AI enthusiasts, and anyone intrigued by the transformative potential of deep learning. …”

“…Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. …”

“…He has been working on data for over five years, first as a data scientist and then as a data engineer. He can talk endlessly about big data pipelines, data infrastructure, and his unwavering devotion to Python. …”

“…Yiqiao Yin is a senior data scientist at an S&P 500 company LabCorp, developing AI-driven solutions for drug diagnostics and development. …”

“…Yiqiao Yin is a senior data scientist at an S&P 500 company LabCorp, developing AI-driven solutions for drug diagnostics and development. …”

“…No previous machine learning knowledge is required. about the author Alexey Grigorev is a principal data scientist at OLX Group. He runs DataTalks.Club, a community of people who love data. …”

“…The focus is on the "archive articles" found in the estate for a non-fiction dictionary of German history that did not come into being. The archive scientist and theorist Dietmar Schenk also illuminates the contexts of the history of ideas and science in a detailed epilogue…”

“…The Special Issue on “Crystal Dislocations” is intended to provide a unique international forum aimed at covering a broad range of results involving dislocations and their importance on crystal properties and crystal growth. Scientists working in a wide range of disciplines are invited to contribute to this cause. …”

“…The content includes contributions authored by active scientists with ample expertise in their fields. Each article was carefully peer-reviewed by researchers, and the editorial process was performed by an experienced team of Senior Editors, Guest Editors, Topic Editors, and Editorial Board Members. …”