Hands-On Machine Learning with Microsoft Excel 2019. Build complete data analysis flows, from data collection to visualization

Julio Cesar Rodriguez Martino

We have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can feel left behind by this innovation wave. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel.The book starts by giving a general introduction to machine learning, making every concept clear and understandable. Then, it shows every step of a machine learning project, from data collection, reading from different data sources, developing models, and visualizing the results using Excel features and offerings. In every chapter, there are several examples and hands-on exercises that will show the reader how to combine Excel functions, add-ins, and connections to databases and to cloud services to reach the desired goal: building a full data analysis flow. Different machine learning models are shown, tailored to the type of data to be analyzed.At the end of the book, the reader is presented with some advanced use cases using Automated Machine Learning, and artificial neural network, which simplifies the analysis task and represents the future of machine learning.

Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R

Michael Pawlus, Rodger Devine

Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning algorithms and architectures with R programming.This book starts with a brief overview of machine learning and deep learning and how to build your first neural network. You’ll understand the architecture of various deep learning algorithms and their applicable fields, learn how to build deep learning models, optimize hyperparameters, and evaluate model performance. Various deep learning applications in image processing, natural language processing (NLP), recommendation systems, and predictive analytics will also be covered. Later chapters will show you how to tackle recognition problems such as image recognition and signal detection, programmatically summarize documents, conduct topic modeling, and forecast stock market prices. Toward the end of the book, you will learn the common applications of GANs and how to build a face generation model using them. Finally, you’ll get to grips with using reinforcement learning and deep reinforcement learning to solve various real-world problems.By the end of this deep learning book, you will be able to build and deploy your own deep learning applications using appropriate frameworks and algorithms.

Learning jQuery. Create better interaction, design, and web development with simple JavaScript techniques

jQuery Foundation, Karl Swedberg, Jonathan Chaffer

To build interesting, interactive sites, developers are turning to JavaScript libraries such as jQuery to automate common tasks and simplify complicated ones. Because many web developers have more experience with HTML and CSS than with JavaScript, the library's design lends itself to a quick start for designers with little programming experience. Experienced programmers will also be aided by its conceptual consistency.Learning jQuery Third Edition is revised and updated for version 1.6 of jQuery. You will learn the basics of jQuery for adding interactions and animations to your pages. Even if previous attempts at writing JavaScript have left you baffled, this book will guide you past the pitfalls associated with AJAX, events, effects, and advanced JavaScript language features.Starting with an introduction to jQuery, you will first be shown how to write a functioning jQuery program in just three lines of code. Learn how to add impact to your actions through a set of simple visual effects and to create, copy, reassemble, and embellish content using jQuery's DOM modification methods. The book will step you through many detailed, real-world examples, and even equip you to extend the jQuery library itself with your own plug-ins.

Cryptography Algorithms. Explore New Algorithms in Zero-knowledge, Homomorphic Encryption, and Quantum Cryptography - Second Edition

Massimo Bertaccini

As cyber threats evolve, so must our cryptographic defenses. This updated edition of Cryptographic Algorithms delves into the latest advancements in encryption, cybersecurity, and data protection, ensuring you stay ahead in this rapidly changing field. Whether you're an aspiring or seasoned cybersecurity professional, this book equips you with the expertise to confidently tackle modern security challenges.Written by Dr. Massimo Bertaccini—a cryptography researcher, inventor, and cybersecurity expert—this book goes beyond theory, offering real-world applications backed by his inventions and patents. His expertise in zero-knowledge proofs, homomorphic encryption, and blockchain security makes this an essential resource for mastering cryptographic security.With updated algorithms, in-depth explanations, and a comprehensive overview of next-gen cryptographic advancements, this second edition provides the tools to protect sensitive data, implement secure cryptographic systems, and defend against emerging cybersecurity threats.By the end of this book, you’ll have hands-on expertise in modern cryptographic techniques—empowering you to build robust security solutions and stay at the forefront of cybersecurity innovation.

Instant Oracle BPM for Financial Services How-to. Discover how to leverage BPM in the financial sector

B. M. Madhusudhan Rao, B.M Madhusudhan Rao

Oracle Business Process Management helps in process automation and improvement with a very high level of flexibility for all the process participants from the process planning team to the end users. It also makes it possible to have corporate employees and customers collaborating towards common goals.Instant Oracle BPM for Financial Services How-to covers many concepts that can be easily reused across industries such as core banking, healthcare, travel, self service automation, e-governance, and so on. It highlights various roles of Business Process Management such as Business Process Modeling, Process Developer, Process Owner, and Process Participant along with the way they work together in a financial services environment.Instant Oracle BPM for Financial Services How-to is your guide to implementing Oracle Business Process Management whilst working in the Financial Services industry.Starting through the discovering of implementation and Business challenges for financial services we will move on to Modeling, Implementation, Process ork-flow’s, deployment and testing.Moving on to cover advanced topics such as Process administering, changing business processes using process analysts, business reporting, participants and notifications and finally collaboration. You will learn to setup, maintain and alter your Business Process Management aimed specifically for the Financial services industry.

Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data

Michaël Hoarau

Being a business analyst and data scientist, you have to use many algorithms and approaches to prepare, process, and build ML-based applications by leveraging time series data, but you face common problems, such as not knowing which algorithm to choose or how to combine and interpret them. Amazon Web Services (AWS) provides numerous services to help you build applications fueled by artificial intelligence (AI) capabilities. This book helps you get to grips with three AWS AI/ML-managed services to enable you to deliver your desired business outcomes.The book begins with Amazon Forecast, where you’ll discover how to use time series forecasting, leveraging sophisticated statistical and machine learning algorithms to deliver business outcomes accurately. You’ll then learn to use Amazon Lookout for Equipment to build multivariate time series anomaly detection models geared toward industrial equipment and understand how it provides valuable insights to reinforce teams focused on predictive maintenance and predictive quality use cases. In the last chapters, you’ll explore Amazon Lookout for Metrics, and automatically detect and diagnose outliers in your business and operational data.By the end of this AWS book, you’ll have understood how to use the three AWS AI services effectively to perform time series analysis.

Dart Cookbook. Over 110 incredibly effective, useful, and hands-on recipes to design Dart web client and server applications

Ivo Balbaert

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook. Over 80 expert recipes to design, create, and deploy SSIS packages with this book and

Reza Rad, Pedro Perfeito, Pedro M Perfeito, Abolfazl Radgoudarzi

SQL Server Integration Services (SSIS) is a leading tool in the data warehouse industry - used for performing extraction, transformation, and load operations. This book is aligned with the most common methodology associated with SSIS known as Extract Transform and Load (ETL); ETL is responsible for the extraction of data from several sources, their cleansing, customization, and loading into a central repository normally called Data Warehouse or Data Mart.Microsoft SQL Server 2012 Integration Services: An Expert Cookbook covers all the aspects of SSIS 2012 with lots of real-world scenarios to help readers understand usages of SSIS in every environment. Written by two SQL Server MVPs who have in-depth knowledge of SSIS having worked with it for many years.This book starts by creating simple data transfer packages with wizards and illustrates how to create more complex data transfer packages, troubleshoot packages, make robust SSIS packages, and how to boost the performance of data consolidation with SSIS. It then covers data flow transformations and advanced transformations for data cleansing, fuzzy and term extraction in detail. The book then dives deep into making a dynamic package with the help of expressions and variables, and performance tuning and consideration.