FL Studio Cookbook. The lofi, retrowave, and horror music chef's guide to FL Studio music production

Chris Rena

Whether it's overcoming creative blocks, troubleshooting technical issues, or refining your workflow, every budding producer faces challenges. The FL Studio Cookbook is here to provide practical solutions to common problems, empowering you to navigate any obstacle with ease by exploring one of the most renowned, industry-standard DAWs.The recipe-based approach of this book means that you’ll unlock the secrets of crafting captivating melodies and learn the art of composition with practical, step-by-step instructions, discovering how to construct melodies that evoke emotion and leave a lasting impression. From chord progressions to counterpoint, you’ll get actionable insights to help you compose music that resonates with your audience. You’ll also master the intricacies of mixing and mastering, by familiarizing yourself with the entire process from balancing levels and sculpting sounds to applying effects. You’ll also explore the endless possibilities of sculpting sound from scratch, whether you're crafting custom synths, designing unique textures, or layering effects to create otherworldly sounds.By the end of this book, you'll have acquired the skills to confidently craft professional-quality lofi, retrowave, and horror music tracks, gaining the expertise to express your musical vision and take your music production to new heights.

Pretrain Vision and Large Language Models in Python. End-to-end techniques for building and deploying foundation models on AWS

Emily Webber, Andrea Olgiati

Foundation models have forever changed machine learning. From BERT to ChatGPT, CLIP to Stable Diffusion, when billions of parameters are combined with large datasets and hundreds to thousands of GPUs, the result is nothing short of record-breaking. The recommendations, advice, and code samples in this book will help you pretrain and fine-tune your own foundation models from scratch on AWS and Amazon SageMaker, while applying them to hundreds of use cases across your organization.With advice from seasoned AWS and machine learning expert Emily Webber, this book helps you learn everything you need to go from project ideation to dataset preparation, training, evaluation, and deployment for large language, vision, and multimodal models. With step-by-step explanations of essential concepts and practical examples, you’ll go from mastering the concept of pretraining to preparing your dataset and model, configuring your environment, training, fine-tuning, evaluating, deploying, and optimizing your foundation models.You will learn how to apply the scaling laws to distributing your model and dataset over multiple GPUs, remove bias, achieve high throughput, and build deployment pipelines.By the end of this book, you’ll be well equipped to embark on your own project to pretrain and fine-tune the foundation models of the future.

Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Second Edition

Stefan Jansen

The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models.This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research.This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples.By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance.

Mastering QGIS. Go beyond the basics and unleash the full power of QGIS with practical, step-by-step examples

Martin Dobias, Richard Smith Jr., GISP, John Van Hoesen, ...

Mapbox Cookbook. Over 35 recipes to design and implement uniquely styled maps using the Mapbox platform

Bill Kastanakis, Vasileios Kastanakis

Maps are an essential element in today’s location aware applications. Right from displaying earth surface information to creating thematic maps displaying plethora of information, most of the developers lack the necessary knowledge to create customizable maps with combination of various tools and libraries. The MapBox platform is one such platform which offers all the tools and API required to create and publish a totally customizable map.Starting with building your first map with the online MapBox Editor, we will take you all the way to building advanced web and mobile applications with totally customizable map styles. Through the course of chapters we’ll learn CartoCSS styling language and understand the various components of MapBox platform and their corresponding JavaScript API.In the initial few chapters we will dive deeper into the TileMill and MapBox Studio components of MapBox and use them to generate custom styled map tiles and vector maps. Furthermore, we will publish these custom maps using PHP, node.js and third party tools like Geoserver.We’ll also learn to create different visualizations and map styles like a choropleth map, a heat map and add user interactivity using a UFTGrid. Moving on, we dive into advanced concepts and focus on integration with third party services like Foursquare, Google FusionTables, CartoDB, and Torque to help you populate and even animate your maps.In the final chapter we’ll learn to use the Mapbox SDK to create and publish interactive maps for the iOS platform. By the end of this book, you will learn about MapBox GL and how to create a fully functional, location-aware mobile app, using the maps styles created in the recipes.

Low-Code Application Development with Appian. The practitioner's guide to high-speed business automation at enterprise scale using Appian

Stefan Helzle

This book is an exhaustive overview of how the Appian Low-Code BPM Suite enables tech-savvy professionals to rapidly automate business processes across their organization, integrating people, software bots, and data. This is crucial as 80% of all software development is expected to be carried out in low code by 2024.This practical guide helps you master business application development with Appian as a beginner low-code developer. You'll learn to automate business processes using Appian low-code, records, processes, and expressions quickly and on an enterprise scale. In a fictional development project, guided by step-by-step explanations of the concepts and practical examples, this book will empower you to transform complex business processes into software.At first, you’ll learn the power of no-code with Appian Quick Apps to solve some of your most crucial business challenges. You’ll then get to grips with the building blocks of an Appian, starting with no-code and advancing to low-code, eventually transforming complex business requirements into a working enterprise-ready application.By the end of this book, you'll be able to deploy Appian Quick Apps in minutes and successfully transform a complex business process into low-code process models, data, and UIs to deploy full-featured, enterprise-ready, process-driven, mobile-enabled apps.

Cloud Analytics with Microsoft Azure. Transform your business with the power of analytics in Azure - Second Edition

Has Altaiar, Jack Lee, Michael Pena

Cloud Analytics with Microsoft Azure serves as a comprehensive guide for big data analysis and processing using a range of Microsoft Azure features. This book covers everything you need to build your own data warehouse and learn numerous techniques to gain useful insights by analyzing big data.The book begins by introducing you to the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You will learn about cloud-scale analytics and the services Microsoft Azure offers to empower businesses to discover insights. You will also be introduced to the new features and functionalities added to the modern data warehouse.Finally, you will look at two real-world business use cases to demonstrate high-level solutions using Microsoft Azure. The aim of these use cases will be to illustrate how real-time data can be analyzed in Azure to derive meaningful insights and make business decisions. You will learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts.By the end of this book, you will be proficient in analyzing large amounts of data with Azure and using it effectively to benefit your organization.

Metabase Up and Running. Introduce business intelligence and analytics to your company and make better business decisions

Tim Abraham

Metabase is an open source business intelligence tool that helps you use data to answer questions about your business. This book will give you a detailed introduction to using Metabase in your organization to get the most value from your data.You’ll start by installing and setting up Metabase on your local computer. You’ll then progress to handling the administration aspect of Metabase by learning how to configure and deploy Metabase, manage accounts, and execute administrative tasks such as adding users and creating permissions and metadata. Complete with examples and detailed instructions, this book shows you how to create different visualizations, charts, and dashboards to gain insights from your data. As you advance, you’ll learn how to share the results with peers in your organization and cover production-related aspects such as embedding Metabase and auditing performance. Throughout the book, you’ll explore the entire data analytics process—from connecting your data sources, visualizing data, and creating dashboards through to daily reporting.By the end of this book, you’ll be ready to implement Metabase as an integral tool in your organization.

XR Development with Unity. A beginner's guide to creating virtual, augmented, and mixed reality experiences using Unity

Anna Braun, Raffael Rizzo

The drastic surge in the demand for XR development has led to an imminent need for comprehensive resources, learning material, and overall know-how in this area. This one-stop resource will ensure that professionals venturing into XR development can access all XR-related techniques to build appealing XR applications, without relying on Google every step of the way.This book is your guide to developing XR applications with Unity 2021.3 or later versions, helping you to create VR, AR, and MR experiences of increasing complexity. The chapters cover the entire XR application development process from setting up an interactive XR scene using the XR Interaction Toolkit or AR Foundation, adding physics, animations, continuous movement, teleportation, sound effects, and visual effects, to testing and deploying to VR headsets, simulators, smartphones, and tablets. Additionally, this XR book takes you on a journey from the basics of Unity and C# to advanced techniques such as building multiplayer applications and incorporating hand- and gaze-tracking capabilities.By the end of this book, you'll be fully equipped to create cutting-edge XR projects for engaging individual, academic, and industrial use cases that captivate your audience.

Learn Amazon SageMaker. A guide to building, training, and deploying machine learning models for developers and data scientists

Julien Simon, Francesco Pochetti

Amazon SageMaker enables you to quickly build, train, and deploy machine learning (ML) models at scale, without managing any infrastructure. It helps you focus on the ML problem at hand and deploy high-quality models by removing the heavy lifting typically involved in each step of the ML process. This book is a comprehensive guide for data scientists and ML developers who want to learn the ins and outs of Amazon SageMaker.You’ll understand how to use various modules of SageMaker as a single toolset to solve the challenges faced in ML. As you progress, you’ll cover features such as AutoML, built-in algorithms and frameworks, and the option for writing your own code and algorithms to build ML models. Later, the book will show you how to integrate Amazon SageMaker with popular deep learning libraries such as TensorFlow and PyTorch to increase the capabilities of existing models. You’ll also learn to get the models to production faster with minimum effort and at a lower cost. Finally, you’ll explore how to use Amazon SageMaker Debugger to analyze, detect, and highlight problems to understand the current model state and improve model accuracy.By the end of this Amazon book, you’ll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation.

Tableau Certified Data Analyst Certification Guide. Ace the Tableau Data Analyst certification exam with expert guidance and practice material

Harry Cooney, Daisy Jones

The Tableau Certified Data Analyst certification validates the essential skills needed to explore, analyze, and present data, propelling your career in data analytics. Whether you're a seasoned Tableau user or just starting out, this comprehensive resource is your roadmap to mastering Tableau and achieving certification success.The book begins by exploring the fundamentals of data analysis, from connecting to various data sources to transforming and cleaning data for meaningful insights. With practical exercises and realistic mock exams, you'll gain hands-on experience that reinforces your understanding of Tableau concepts and prepares you for the challenges of the certification exam.As you progress, expert guidance and clear explanations make it easy to navigate complex topics as each chapter builds upon the last, providing a seamless learning experience—from creating impactful visualizations to managing content on Tableau Cloud.Written by a team of experts, this Tableau book not only helps you pass the certification exam but also equips you with the skills and confidence needed to excel in your career. It is an indispensable resource for unlocking the full potential of Tableau.

The iPhone Manual - Tips and Hacks. A complete user guide to getting the best out of your iPhone and iOS 14

Wallace Wang

The iPhone is the most popular smartphone available on the market, renowned for its sophisticated design, immersive UI, and user safety. And even if you’ve bought an iPhone for its impressive specifications, you may still be unaware of many of its features, which you’ll discover with the help of this book!The iPhone Manual is your practical guide to uncovering the hidden potential of iPhones, and will leave you amazed at how productive you can be by learning tips and hacks for customizing your device as a communication, entertainment, and work tool. You’ll unearth the complete range of iPhone features and customize it to streamline your day-to-day interaction with your device. This iPhone manual will help you explore your iPhone’s impressive capabilities and fully understand all the features, functions, and settings that every iPhone owner should know. With this book, you’ll get to grips with not only the basics of communication but also best practices for accessing photos, videos, and music to set up your entertainment using your iPhone. In addition to this, you’ll learn about serious work tools that will make you productive in your everyday tasks.By the end of this iPhone book, you’ll have learned how to use your iPhone to perform tasks and customize your experience in ways you probably didn’t realize were possible.

XNA 4.0 Game Development by Example: Beginner's Guide. The best way to start creating your own games is simply to dive in and give it a go with this Beginner’s Guide to XNA. Full of examples, tips, and tricks for a solid grounding

Kurt Jaegers

XNA Game Studio enables hobbyists and independent game developers to easily create video games. It gives you the power to bring your creations to life on Windows, the Xbox 360, the Zune, and the Windows Phone platforms. But before you give life to your creativity with XNA, you need to gain a solid understanding of some game development concepts.This book covers both the concepts and the implementations necessary to get you started on bringing your own creations to life with XNA. It details the creation of four games, all in different styles, from start to finish using the Microsoft XNA Framework, including a puzzler, space shooter, multi-axis shoot-'em-up, and a jump-and-run platform game. Each game introduces new concepts and techniques to build a solid foundation for your own ideas and creativity. Beginning with the basics of drawing images to the screen, the book then incrementally introduces sprite animation, particles, sound effects, tile-based maps, and path finding. It then explores combining XNA with Windows Forms to build an interactive map editor, and builds a platform-style game using the editor-generated maps. Finally, the book covers the considerations necessary for deploying your games to the Xbox 360 platform.By the end of the book, you will have a solid foundation of game development concepts and techniques as well as working sample games to extend and innovate upon. You will have the knowledge necessary to create games that you can complete without an army of fellow game developers at your back.

Time Series Analysis with Spark. A practical guide to processing, modeling, and forecasting time series with Apache Spark

Yoni Ramaswami, Dael Williamson, Jan Govaere

Written by Databricks Senior Solutions Architect Yoni Ramaswami, whose expertise in Data and AI has shaped innovative digital transformations across industries, this comprehensive guide bridges foundational concepts of time series analysis with the Spark framework and Databricks, preparing you to tackle real-world challenges with confidence.From preparing and processing large-scale time series datasets to building reliable models, this book offers practical techniques that scale effortlessly for big data environments. You’ll explore advanced topics such as scaling your analyses, deploying time series models into production, Generative AI, and leveraging Spark's latest features for cutting-edge applications across industries. Packed with hands-on examples and industry-relevant use cases, this guide is perfect for data engineers, ML engineers, data scientists, and analysts looking to enhance their expertise in handling large-scale time series data.By the end of this book, you’ll have mastered the skills to design and deploy robust, scalable time series models tailored to your unique project needs—qualifying you to excel in the rapidly evolving world of big data analytics.

Machine Learning with Go Quick Start Guide. Hands-on techniques for building supervised and unsupervised machine learning workflows

Michael Bironneau, Toby Coleman

Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology. This book will teach you how to efficiently develop machine learning applications in Go.The book starts with an introduction to machine learning and its development process, explaining the types of problems that it aims to solve and the solutions it offers. It then covers setting up a frictionless Go development environment, including running Go interactively with Jupyter notebooks. Finally, common data processing techniques are introduced.The book then teaches the reader about supervised and unsupervised learning techniques through worked examples that include the implementation of evaluation metrics. These worked examples make use of the prominent open-source libraries GoML and Gonum.The book also teaches readers how to load a pre-trained model and use it to make predictions. It then moves on to the operational side of running machine learning applications: deployment, Continuous Integration, and helpful advice for effective logging and monitoring.At the end of the book, readers will learn how to set up a machine learning project for success, formulating realistic success criteria and accurately translating business requirements into technical ones.

R Machine Learning Essentials. Gain quick access to the machine learning concepts and practical applications using the R development environment

Michele Usuelli