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Podcasts
Sireesha Muppala, Randy DeFauw, Shelbee Eigenbrode
Amazon SageMaker is a fully managed AWS service that provides the ability to build, train, deploy, and monitor machine learning models. The book begins with a high-level overview of Amazon SageMaker capabilities that map to the various phases of the machine learning process to help set the right foundation. You'll learn efficient tactics to address data science challenges such as processing data at scale, data preparation, connecting to big data pipelines, identifying data bias, running A/B tests, and model explainability using Amazon SageMaker. As you advance, you'll understand how you can tackle the challenge of training at scale, including how to use large data sets while saving costs, monitoring training resources to identify bottlenecks, speeding up long training jobs, and tracking multiple models trained for a common goal. Moving ahead, you'll find out how you can integrate Amazon SageMaker with other AWS to build reliable, cost-optimized, and automated machine learning applications. In addition to this, you'll build ML pipelines integrated with MLOps principles and apply best practices to build secure and performant solutions.By the end of the book, you'll confidently be able to apply Amazon SageMaker's wide range of capabilities to the full spectrum of machine learning workflows.
The Internet of Things (IoT) has transformed how people think about and interact with the world. The ubiquitous deployment of sensors around us makes it possible to study the world at any level of accuracy and enable data-driven decision-making anywhere. Data analytics and machine learning (ML) powered by elastic cloud computing have accelerated our ability to understand and analyze the huge amount of data generated by IoT. Now, edge computing has brought information technologies closer to the data source to lower latency and reduce costs.This book will teach you how to combine the technologies of edge computing, data analytics, and ML to deliver next-generation cyber-physical outcomes. You’ll begin by discovering how to create software applications that run on edge devices with AWS IoT Greengrass. As you advance, you’ll learn how to process and stream IoT data from the edge to the cloud and use it to train ML models using Amazon SageMaker. The book also shows you how to train these models and run them at the edge for optimized performance, cost savings, and data compliance.By the end of this IoT book, you’ll be able to scope your own IoT workloads, bring the power of ML to the edge, and operate those workloads in a production setting.
Linux Email. Set up, maintain, and secure a small office email server
Alistair McDonald, Magnus Back, David Rusenko, Carl Taylor, ...
Many businesses want to run their email servers on Linux for greater control and flexibility of corporate communications, but getting started can be complicated. The attractiveness of a free-to-use and robust email service running on Linux can be undermined by the apparent technical challenges involved. Some of the complexity arises from the fact that an email server consists of several components that must be installed and configured separately, then integrated together.This book gives you just what you need to know to set up and maintain an email server. Unlike other approaches that deal with one component at a time, this book delivers a step-by-step approach across all the server components, leaving you with a complete working email server for your small business network.Starting with a discussion on why you should even consider hosting your own email server, the book covers setting up the mail server. We then move on to look at providing web access, so that users can access their email out of the office. After this we look at the features you'll want to add to improve email productivity: virus protection, spam detection, and automatic email processing. Finally we look at an essential maintenance task: backups.Written by professional Linux administrators, the book is aimed at technically confident users and new and part-time system administrators. The emphasis is on simple, practical and reliable guidance.Based entirely on free, Open Source software, this book will show you how to set up and manage your email server easily.
Over 2 million IT pros have installed Spiceworks. It helps them with their daily tasks, streamlines processes, and even saves them money, all for free! Getting Started with Spiceworks is an ideal resource to install Spiceworks and run it on your network. After all, over 2 million IT pros can't be wrong, so learn how to join the Spiceworks IT revolution.Getting Started with Spiceworks starts from downloading the app to having a fully functional Spiceworks installation in just a few minutes. It will cover Network Inventory, Help Desk, Self-Service User Portal, knowledge bases, and more in detail for you to get the most out of Spiceworks.Whether you have a decade of experience or you are new to the IT field, Spiceworks has tools for every IT pro's needs. You will learn how to make your daily tasks easier, streamline existing processes, and even save money with Spiceworks.Getting Started with Spiceworks will walk you through the Spiceworks installation step-by-step. It will cover topics such as configuring Spiceworks to scan your network and organize information, setting up Help Desk and Self-Service User Portal, running reports that dazzle and streamline your purchasing process, and connecting with other IT pros around your area or around the world thoroughly.Getting Started with Spiceworks will provide insights and tips from experts on Spiceworks. It is an ideal guide to progress quickly from installation to Spiceworks being an essential part of your IT day.
Debugging Machine Learning Models with Python is a comprehensive guide that navigates you through the entire spectrum of mastering machine learning, from foundational concepts to advanced techniques. It goes beyond the basics to arm you with the expertise essential for building reliable, high-performance models for industrial applications. Whether you're a data scientist, analyst, machine learning engineer, or Python developer, this book will empower you to design modular systems for data preparation, accurately train and test models, and seamlessly integrate them into larger technologies.By bridging the gap between theory and practice, you'll learn how to evaluate model performance, identify and address issues, and harness recent advancements in deep learning and generative modeling using PyTorch and scikit-learn. Your journey to developing high quality models in practice will also encompass causal and human-in-the-loop modeling and machine learning explainability. With hands-on examples and clear explanations, you'll develop the skills to deliver impactful solutions across domains such as healthcare, finance, and e-commerce.
In today's rapidly evolving economic landscape, the combination of finance, analytics, and artificial intelligence (AI) heralds a new era of decision-making. Finance and data analytics along with AI can no longer be seen as separate disciplines and professionals have to be comfortable in both in order to be successful. This book combines finance concepts, visualizations through Power BI and the application of AI and ChatGPT to provide a more holistic perspective.After a brief introduction to finance and Power BI, you will begin with Tesla's data-driven financial tactics before moving to John Deere's AgTech strides, all through the lens of AI. Salesforce's adaptation to the AI revolution offers profound insights, while Moderna's navigation through the biotech frontier during the pandemic showcases the agility of AI-focused companies. Learn from Silicon Valley Bank's demise, and prepare for CrowdStrike's defensive maneuvers against cyber threats. With each chapter, you'll gain mastery over new investing ideas, Power BI tools, and integrate ChatGPT into your workflows.This book is an indispensable ally for anyone looking to thrive in the financial sector. By the end of this book, you'll be able to transform your approach to investing and trading by blending AI-driven analysis, data visualization, and real-world applications.
The Ultimate Zoom Cookbook. Over 100 recipes to enhance and engage communication with Zoom
The last few years have completely changed the way we collaborate and communicate. Whether it’s internally with coworkers at a large enterprise or externally with prospective clients and customers, Zoom has created a new way to interact with people in real-time as well as asynchronously.This cookbook delves into all aspects of Zoom, moving beyond just meetings. You’ll get started by exploring key areas such as audio, video, chat, webinars, advanced reporting, and analytics. Next, you’ll progress from discovering simple Zoom video and audio calls to understanding features such as whiteboards, hardware integration, and phone capabilities. Gradually, you'll discover advanced techniques for effective content presentation, while configuring users and features from the admin portal. The last set of chapters cover advanced features on security and privacy as well as how to make the most of AI Companion to reach out to your audience with better content, clarity, and expertise.By the end of this Zoom book, you’ll be well-versed with the entire Zoom app and all the modalities available.
Microsoft Dynamics 365 for finance and operations is a rapidly growing application and is widely used in enterprise organizations. Because of its ability to maximize business productivity, it is a fast-growing business application package in the ERP market.We will start by looking into ERP concepts, implementation needs, and interface design, giving you basic knowledge of financial management aspects and explaining key concepts along the way. To begin with, you'll be taken through the general ledger and financial dimension functions. You'll later learn about the sales tax mechanism and multi-currency in Microsoft Dynamics 365. We tackle each topic with focused examples and explanations on topics such as payable/receivable accounts, forecasting, cash and bank management, budgeting planning/control, and fixed assets. Finally, we walk you through intercompany, consolidation, costing basics, and financial reporting.By the end of this book, your finance team will have a much richer understanding of Microsoft Dynamics 365 for finance and operations and its powerful capabilities.