“…What you will learn Get to grips with Spark fundamentals and the Databricks platform Process big data using the Spark DataFrame API with Delta Lake Analyze data using graph processing in Databricks Use MLflow to manage machine learning life cycles in Databricks Find out how to choose the right cluster configuration for your workloads Explore file compaction and clustering methods to tune Delta tables Discover advanced optimization techniques to speed up Spark jobs Who this book is for This book is for data engineers, data scientists, and cloud architects who have working knowledge of Spark/Databricks and some basic understanding of data engineering principles. …”

“…It calls for research that sets goals meaningful not just for scientists but for people living with dementia and those who support them as well. …”

“…Exploit the power of data in your business by building advanced predictive modeling applications with Python About This Book Master open source Python tools to build sophisticated predictive models Learn to identify the right machine learning algorithm for your problem with this forward-thinking guide Grasp the major methods of predictive modeling and move beyond the basics to a deeper level of understanding Who This Book Is For This book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move from a conceptual understanding of advanced analytics to an expert in designing and building advanced analytics solutions using Python. …”

“…Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehensive cookbook About This Book Your quick guide to implementing TensorFlow in your day-to-day machine learning activities Learn advanced techniques that bring more accuracy and speed to machine learning Upgrade your knowledge to the second generation of machine learning with this guide on TensorFlow Who This Book Is For This book is ideal for data scientists who are familiar with C++ or Python and perform machine learning activities on a day-to-day basis. …”

“…Christine Doig is a senior data scientist at Continuum Analytics, where she's worked on several projects, including MEMEX, a DARPA-funded open data science project to help stop human trafficking. …”

“…Whether you're a programmer building the next big thing, a data scientist seeking solutions to thorny problems, or a technology enthusiast venturing into new territory, you will find something to inspire you in this book. …”

“…What you will learn Introduce yourself to the basics of machine learning with R 3.5 Get to grips with R techniques for cleaning and preparing your data for analysis and visualize your results Learn to build predictive models with the help of various machine learning techniques Use R to visualize data spread across multiple dimensions and extract useful features Use interactive data analysis with R to get insights into data Implement supervised and unsupervised learning, and NLP using R libraries Who this book is for This book is for graduate students, aspiring data scientists, and data analysts who wish to enter the field of machine learning and are looking to implement machine learning techniques and methodologies from scratch using R 3.5. …”

“…What you will learn Learn various neural network architectures and its advancements in AI Master deep learning in Python by building and training neural network Master neural networks for regression and classification Discover convolutional neural networks for image recognition Learn sentiment analysis on textual data using Long Short-Term Memory Build and train a highly accurate facial recognition security system Who this book is for This book is a perfect match for data scientists, machine learning engineers, and deep learning enthusiasts who wish to create practical neural network projects in Python. …”

“…Douglas Eadline will bring you up to speed quickly, whether you’re a user, admin, devops specialist, programmer, architect, analyst, or data scientist. Coverage Includes Understanding what Hadoop 2 and YARN do, and how they improve on Hadoop 1 with MapReduce Understanding Hadoop-based Data Lakes versus RDBMS Data Warehouses Installing Hadoop 2 and core services on Linux machines, virtualized sandboxes, or clusters Exploring the Hadoop Distributed File System (HDFS) Understanding the essentials of MapReduce and YARN application programming Simplifying programming and data movement with Apache Pig, Hive, Sqoop, Flume, Oozie, and HBase Observing application progress, controlling jobs, and managing workflows Managing Hadoop efficiently with Apache Ambari–including recipes for HDFS to NFSv3 gateway, HDFS snapshots, and YARN configuration Learning basic Hadoop 2 troubleshooting, and installing Apache Hue and Apache Spark…”

“…Yifeng Zhu overviews the new and promising storage technology MEMS and presents its potential research issues for computer scientists and engineers. Energy is one of the most critical issues for storage systems. …”

“…What You Will Learn Learn how to work with PyTorch Build intuition on convolution operation on images Implement gradient descent using AutoGrad Learn about LeNet architecture Create a mini-Python project game Understand how to use NumPy, Pandas, and Matplotlib libraries Audience Software developers, machine learning practitioners, data scientists, and anybody else interested in understanding PyTorch and deep learning should take this course. …”

“…Audience The book will appeal to biomedical and computer/data scientists and researchers working in genomics and bioinformatics seeking to leverage AI, computer vision, and machine learning for enhanced analysis and discovery; healthcare professionals advancing personalized medicine and patient care; industry leaders and decision-makers in biotechnology, pharmaceuticals, and healthcare industries seeking strategic insights into the integration of genomics and advanced technologies…”

“…Who This Book Is For Reader of all skills who wants to save time and efforts to start to work with C++. Also useful for scientists who are not familiar with software installation…”

“…Business analysts, Agile developers, data scientists, big data specialists, and other professionals will all benefit from Keith’s work.' …”

“…., dimension reduction and cluster analysis) machine learning models, alongside neural networks, Markov, and SEM modelsRepresent and interpret data and models Who This Book Is ForBeginning and intermediate data scientists, economists, machine learning engineers, statisticians, and business executives…”

“…This book is for intermediate-level data scientists and machine learning engineers who want to learn how to apply key big data frameworks and ML and DL frameworks. …”

“…What you will learn Understand the challenges and advantages of working with streaming data Develop real-time insights from streaming data Understand the implementation of streaming data with various use cases to boost your knowledge Develop a PCA alternative that can work on real-time data Explore best practices for handling streaming data that you absolutely need to remember Develop an API for real-time machine learning inference Who this book is for This book is for data scientists and machine learning engineers who have a background in machine learning, are practice and technology-oriented, and want to learn how to apply machine learning to streaming data through practical examples with modern technologies. …”

“…Audience This audiobook is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. …”

“…Practicing engineers in industry and research scientists can use the book as a reference to get reacquainted with mobile radio fundamentals or to gain deeper understanding of complex security issues…”

“…When considered from this point of view, the work at hand is brought to the attention of all social scientists, especially those who are involved in political culture, Turkish political life, political science, urbanization and architectural history Bursa örneği üzerinden taşrada kent ve aydın ilişkisini bir zaman kesitinden tartışan bu çalışma; elit dolaşımı teorileri, elit ve aydın kavramları, mekân üzerinden yürütülen siyasal-kültürel tartışmaları, siyasal muhayyileler üzerinden şekillenen toplumsal hafıza inşâ süreçleri ve tarih yazımı gibi, sosyal bilimlerle meşgul olan araştırmacıların ve bu alanlara ilgi duyan okuyucunun başucu kitabı olarak değerlendirebileceği bir kaynaktır. …”