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Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python
by Manohar SwamynathanExplore fundamental to advanced Python 3 topics in six steps, all designed to make you a worthy practitioner. This updated version’s approach is based on the “six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away and presents each topic in two parts: theoretical concepts and practical implementation using suitable Python 3 packages.You’ll start with the fundamentals of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as exploratory analysis, feature dimension reduction, regressions, time series forecasting and their efficient implementation in Scikit-learn are covered as well. You’ll also learn commonly used model diagnostic and tuning techniques. These include optimal probability cutoff point for class creation, variance, bias, bagging, boosting, ensemble voting, grid search, random search, Bayesian optimization, and the noise reduction technique for IoT data. Finally, you’ll review advanced text mining techniques, recommender systems, neural networks, deep learning, reinforcement learning techniques and their implementation. All the code presented in the book will be available in the form of iPython notebooks to enable you to try out these examples and extend them to your advantage.What You'll LearnUnderstand machine learning development and frameworksAssess model diagnosis and tuning in machine learningExamine text mining, natuarl language processing (NLP), and recommender systemsReview reinforcement learning and CNNWho This Book Is ForPython developers, data engineers, and machine learning engineers looking to expand their knowledge or career into machine learning area.
Mastering Machine Learning with R
by Cory LeismesterIf you want to learn how to use R's machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful.
Mastering Machine Learning with R: Advanced machine learning techniques for building smart applications with R 3.5, 3rd Edition
by Cory LesmeisterStay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applications Key Features Build independent machine learning (ML) systems leveraging the best features of R 3.5 Understand and apply different machine learning techniques using real-world examples Use methods such as multi-class classification, regression, and clustering Book Description Given the growing popularity of the R-zerocost statistical programming environment, there has never been a better time to start applying ML to your data. This book will teach you advanced techniques in ML ,using? the latest code in R 3.5. You will delve into various complex features of supervised learning, unsupervised learning, and reinforcement learning algorithms to design efficient and powerful ML models. This newly updated edition is packed with fresh examples covering a range of tasks from different domains. Mastering Machine Learning with R starts by showing you how to quickly manipulate data and prepare it for analysis. You will explore simple and complex models and understand how to compare them. You'll also learn to use the latest library support, such as TensorFlow and Keras-R, for performing advanced computations. Additionally, you'll explore complex topics, such as natural language processing (NLP), time series analysis, and clustering, which will further refine your skills in developing applications. Each chapter will help you implement advanced ML algorithms using real-world examples. You'll even be introduced to reinforcement learning, along with its various use cases and models. In the concluding chapters, you'll get a glimpse into how some of these blackbox models can be diagnosed and understood. By the end of this book, you'll be equipped with the skills to deploy ML techniques in your own projects or at work. What you will learn Prepare data for machine learning methods with ease Understand how to write production-ready code and package it for use Produce simple and effective data visualizations for improved insights Master advanced methods, such as Boosted Trees and deep neural networks Use natural language processing to extract insights in relation to text Implement tree-based classifiers, including Random Forest and Boosted Tree Who this book is for This book is for data science professionals, machine learning engineers, or anyone who is looking for the ideal guide to help them implement advanced machine learning algorithms. The book will help you take your skills to the next level and advance further in this field. Working knowledge of machine learning with R is mandatory.
Mastering Machine Learning with R - Second Edition
by Cory LesmeisterMaster machine learning techniques with R to deliver insights in complex projects About This Book • Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST • Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised Learning • Implement advanced concepts in machine learning with this example-rich guide Who This Book Is For This book is for data science professionals, data analysts, or anyone with a working knowledge of machine learning, with R who now want to take their skills to the next level and become an expert in the field. What You Will Learn • Gain deep insights into the application of machine learning tools in the industry • Manipulate data in R efficiently to prepare it for analysis • Master the skill of recognizing techniques for effective visualization of data • Understand why and how to create test and training data sets for analysis • Master fundamental learning methods such as linear and logistic regression • Comprehend advanced learning methods such as support vector machines • Learn how to use R in a cloud service such as Amazon In Detail This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more. You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, boosted trees with XGBOOST, and more. More than just knowing the outcome, you'll understand how these concepts work and what they do. With a slow learning curve on topics such as neural networks, you will explore deep learning, and more. By the end of this book, you will be able to perform machine learning with R in the cloud using AWS in various scenarios with different datasets. Style and approach The book delivers practical and real-world solutions to problems and a variety of tasks such as complex recommendation systems. By the end of this book, you will have gained expertise in performing R machine learning and will be able to build complex machine learning projects using R and its packages.
Mastering Machine Learning with scikit-learn
by Gavin HackelingIf you are a software developer who wants to learn how machine learning models work and how to apply them effectively, this book is for you. Familiarity with machine learning fundamentals and Python will be helpful, but is not essential.
Mastering Machine Learning with scikit-learn - Second Edition
by Gavin HackelingUse scikit-learn to apply machine learning to real-world problems About This Book • Master popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural networks • Learn how to build and evaluate performance of efficient models using scikit-learn • Practical guide to master your basics and learn from real life applications of machine learning Who This Book Is For This book is intended for software engineers who want to understand how common machine learning algorithms work and develop an intuition for how to use them, and for data scientists who want to learn about the scikit-learn API. Familiarity with machine learning fundamentals and Python are helpful, but not required. What You Will Learn • Review fundamental concepts such as bias and variance • Extract features from categorical variables, text, and images • Predict the values of continuous variables using linear regression and K Nearest Neighbors • Classify documents and images using logistic regression and support vector machines • Create ensembles of estimators using bagging and boosting techniques • Discover hidden structures in data using K-Means clustering • Evaluate the performance of machine learning systems in common tasks In Detail Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Using powerful algorithms and techniques offered by machine learning you can automate any analytical model. This book examines a variety of machine learning models including popular machine learning algorithms such as k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial neural networks. It discusses data preprocessing, hyperparameter optimization, and ensemble methods. You will build systems that classify documents, recognize images, detect ads, and more. You will learn to use scikit-learn's API to extract features from categorical variables, text and images; evaluate model performance, and develop an intuition for how to improve your model's performance. By the end of this book, you will master all required concepts of scikit-learn to build efficient models at work to carry out advanced tasks with the practical approach. Style and approach This book is motivated by the belief that you do not understand something until you can describe it simply. Work through toy problems to develop your understanding of the learning algorithms and models, then apply your learnings to real-life problems.
Mastering macOS Programming
by Stuart GrimshawThis book is for developers who have some experience with macOS and want to take their skills to next level by unlocking the full potential of latest version of macOS with Swift 3 to build impressive applications. Basic knowledge of Swift will be beneficial but is not required.
Mastering Magento
by Bret WilliamsWritten in a step by step tutorial style with plenty of insider insights along the way. Web designers, developers or ecommerce store-owners, who design or manage Magento stores for their clients.
Mastering Magento 2 - Second Edition
by Bret WilliamsThis book is for web designers, developers, or e-commerce store-owners who design or manage Magento stores for their clients and want to gain an in-depth understanding of the various features of Magento 2.
Mastering Magento Theme Design
by Andrea SaccaWritten in a step-by-step, tutorial style with a lot of code snippets and hands-on examples to create an advanced Magento theme from scratch, this book is tailor-made for web designers and developers. This book is great for developers and web designers who are looking to get a good grounding in how to create custom, responsive, and advanced Magento themes. Readers must have some experience with HTML, PHP, CSS, and Magento theme design. This book will be useful for anybody who already has knowledge of the Magento frontend structure.
Mastering Malware Analysis: The complete malware analyst's guide to combating malicious software, APT, cybercrime, and IoT attacks
by Alexey Kleymenov Amr ThabetMaster malware analysis to protect your systems from getting infectedKey FeaturesSet up and model solutions, investigate malware, and prevent it from occurring in futureLearn core concepts of dynamic malware analysis, memory forensics, decryption, and much moreA practical guide to developing innovative solutions to numerous malware incidentsBook DescriptionWith the ever-growing proliferation of technology, the risk of encountering malicious code or malware has also increased. Malware analysis has become one of the most trending topics in businesses in recent years due to multiple prominent ransomware attacks. Mastering Malware Analysis explains the universal patterns behind different malicious software types and how to analyze them using a variety of approaches. You will learn how to examine malware code and determine the damage it can possibly cause to your systems to ensure that it won't propagate any further. Moving forward, you will cover all aspects of malware analysis for the Windows platform in detail. Next, you will get to grips with obfuscation and anti-disassembly, anti-debugging, as well as anti-virtual machine techniques. This book will help you deal with modern cross-platform malware. Throughout the course of this book, you will explore real-world examples of static and dynamic malware analysis, unpacking and decrypting, and rootkit detection. Finally, this book will help you strengthen your defenses and prevent malware breaches for IoT devices and mobile platforms. By the end of this book, you will have learned to effectively analyze, investigate, and build innovative solutions to handle any malware incidents.What you will learnExplore widely used assembly languages to strengthen your reverse-engineering skillsMaster different executable file formats, programming languages, and relevant APIs used by attackersPerform static and dynamic analysis for multiple platforms and file typesGet to grips with handling sophisticated malware casesUnderstand real advanced attacks, covering all stages from infiltration to hacking the systemLearn to bypass anti-reverse engineering techniquesWho this book is forIf you are an IT security administrator, forensic analyst, or malware researcher looking to secure against malicious software or investigate malicious code, this book is for you. Prior programming experience and a fair understanding of malware attacks and investigation is expected.
Mastering Malware Analysis: A malware analyst's practical guide to combating malicious software, APT, cybercrime, and IoT attacks, 2nd Edition
by Alexey Kleymenov Amr ThabetLearn effective malware analysis tactics to prevent your systems from getting infectedKey FeaturesInvestigate cyberattacks and prevent malware-related incidents from occurring in the futureLearn core concepts of static and dynamic malware analysis, memory forensics, decryption, and much moreGet practical guidance in developing efficient solutions to handle malware incidentsBook DescriptionNew and developing technologies inevitably bring new types of malware with them, creating a huge demand for IT professionals that can keep malware at bay. With the help of this updated second edition of Mastering Malware Analysis, you'll be able to add valuable reverse-engineering skills to your CV and learn how to protect organizations in the most efficient way.This book will familiarize you with multiple universal patterns behind different malicious software types and teach you how to analyze them using a variety of approaches.You'll learn how to examine malware code and determine the damage it can possibly cause to systems, along with ensuring that the right prevention or remediation steps are followed. As you cover all aspects of malware analysis for Windows, Linux, macOS, and mobile platforms in detail, you'll also get to grips with obfuscation, anti-debugging, and other advanced anti-reverse-engineering techniques. The skills you acquire in this cybersecurity book will help you deal with all types of modern malware, strengthen your defenses, and prevent or promptly mitigate breaches regardless of the platforms involved.By the end of this book, you will have learned how to efficiently analyze samples, investigate suspicious activity, and build innovative solutions to handle malware incidents.What you will learnExplore assembly languages to strengthen your reverse-engineering skillsMaster various file formats and relevant APIs used by attackersDiscover attack vectors and start handling IT, OT, and IoT malwareUnderstand how to analyze samples for x86 and various RISC architecturesPerform static and dynamic analysis of files of various typesGet to grips with handling sophisticated malware casesUnderstand real advanced attacks, covering all their stagesFocus on how to bypass anti-reverse-engineering techniquesWho this book is forIf you are a malware researcher, forensic analyst, IT security administrator, or anyone looking to secure against malicious software or investigate malicious code, this book is for you. This new edition is suited to all levels of knowledge, including complete beginners. Any prior exposure to programming or cybersecurity will further help to speed up your learning process.
Mastering Mambo: E-Commerce, Templates, Module Development, SEO, Security, and Performance
by Tobias Hauser Christian WenzUsing a highly graphical, practical style the experienced authors show you how to get the most out of Mambo's more advanced features and abilities. Mastering Mambo is the book for anybody who has developed a Mambo web site, and wants to expand what their site can do and make the most of this powerful content management system. It is not a tutorial in the Mambo basics. Nor is it a comprehensive reference to Mambo's workings. Instead, it shows you how to employ Mambo's most powerful and useful features in your own site or intranet.
Mastering Manga Studio 5
by Liz StaleyMastering Manga Studio 5 will follow an explanatory, work through manual approach. The main features of Manga will be presented in each section along with exciting tips, vital techniques and impressive workflows.This book is for those who already have some Manga Studio and graphics program experience. It is not a beginner's guide, but if you are a novice Manga Studio 5 user it will help you to master the time-saving features of the software.
Mastering MariaDB
by Federico RazzoliThis book is intended for intermediate users who want to learn how to administrate a MariaDB server or a set of servers. It is aimed at MariaDB users, and hence working knowledge of MariaDB is a prerequisite.
Mastering Marketing Agility: Transform Your Marketing Teams and Evolve Your Organization
by Andrea FryrearThe leading authority on agile marketing shows how to build marketing operations that can pivot freely and yet remain committed to priorities.As a marketer, are you tired of chasing marketing fads and algorithm rumors that seem to change every couple of months? This guide to building the perfect marketing department will help you achieve the latest and greatest without having to rebuild your operations from scratch every time the wind shifts. Agile strategies have been the accepted modus operandi for software development for two decades, and marketing is poised to follow in its footsteps. As the audiences we market to become ever more digital, agile frameworks are emerging as the best and only way to manage marketing. This book is a signpost showing the way toward the agile future of marketing operations, explaining how every role, from social media intern up to chief marketing officer, can work in unison, responding to the market's demanding challenges without losing focus on the big picture.You will learn what it takes for marketing agility to thrive—customer focus, transparency, continuous improvement, adaptability, trust, bias for action, and courage—along with the antipatterns that can drag you down. Most important, you will learn how to implement the systems, strategies, and practices that will truly transform your marketing operations.
Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers (Wiley and SAS Business Series)
by Iain BrownUnlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science. Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape. Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative. Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.
Mastering matplotlib
by Duncan M. McgreggorIf you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of matplotlib to plot complex graphs and charts and handle large datasets, then this book is for you.
Mastering Matplotlib 2.x: Effective Data Visualization techniques with Python
by Benjamin Walter KellerUnderstand and build beautiful and advanced plots with Matplotlib and PythonKey FeaturesPractical guide with hands-on examples to design interactive plotsAdvanced techniques to constructing complex plotsExplore 3D plotting and visualization using Jupyter NotebookBook DescriptionIn this book, you’ll get hands-on with customizing your data plots with the help of Matplotlib. You’ll start with customizing plots, making a handful of special-purpose plots, and building 3D plots. You’ll explore non-trivial layouts, Pylab customization, and more about tile configuration. You’ll be able to add text, put lines in plots, and also handle polygons, shapes, and annotations. Non-Cartesian and vector plots are exciting to construct, and you’ll explore them further in this book. You’ll delve into niche plots and visualize ordinal and tabular data. In this book, you’ll be exploring 3D plotting, one of the best features when it comes to 3D data visualization, along with Jupyter Notebook, widgets, and creating movies for enhanced data representation. Geospatial plotting will also be explored. Finally, you’ll learn how to create interactive plots with the help of Jupyter.Learn expert techniques for effective data visualization using Matplotlib 3 and Python with our latest offering -- Matplotlib 3.0 CookbookWhat you will learnDeal with non-trivial and unusual plotsUnderstanding Basemap methodsCustomize and represent data in 3D Construct Non-Cartesian and vector plotsDesign interactive plots using Jupyter NotebookMake movies for enhanced data representationWho this book is forThis book is aimed at individuals who want to explore data visualization techniques. A basic knowledge of Matplotlib and Python is required.
Mastering Maya 2009
by Eric Keller Anthony Honn Eric AllenThe Ultimate Maya 2009 Resource for Intermediate to Advanced Users If you already know the basics of Maya, now you can elevate your skills with Maya 2009 and the advanced coverage in this authoritative new reference and tutorial. From modeling, texturing, animation, and visual effects to high-level techniques for film, television, games, and more, this book provides professional-level instruction on Maya Complete and Maya Unlimited.This fully updated book brings you up to speed on Maya 2009's new features and expands your skills with advanced instruction on cloth, fur, and fluids. You'll learn Dynamics, Maya Muscle, Stereo Cameras, Assets, rendering with mental ray, and more. Filled with challenging tutorials and real-world scenarios from some of the leading professionals in the industry, this one-of-a-kind guide gives you valuable insight into the entire CG production pipeline.If you've been looking for a complete, professional-quality Maya resource to turn to again and again, this is the book for you.Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Mastering mental ray
by Jennifer O'ConnorProven techniques for using mental ray effectivelyIf you're a busy artist seeking high-end results for your 3D, design, or architecture renders using mental ray, this is the perfect book for you. It distills the highly technical nature of rendering into easy-to-follow steps and tutorials that you can apply immediately to your own projects. The book uses 3ds Max and 3ds Max Design to show the integration with mental ray, but users of any 3D or CAD software can learn valuable techniques for incorporating mental ray into their pipelines.Takes you under the hood of mental ray, a stand-alone or bundled product that is often used with 3D or CAD software in the creation of movies, games, architectural renders, and televisionFocuses on only the most pertinent tools and techniques for busy professionals who need to quickly apply them on the jobProvides compelling, practical tutorials so you can start incorporating mental ray into your own production pipelinesIncludes a DVD with step-by-step videos to help drive home concepts and techniquesLearn effective mental ray techniques with this great guide, then keep this practical book at your workstation for reference while you work!Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Mastering Mesos
by Akhil Das Dipa DubhashiThe ultimate guide to managing, building, and deploying large-scale clusters with Apache Mesos About This Book * Master the architecture of Mesos and intelligently distribute your task across clusters of machines * Explore a wide range of tools and platforms that Mesos works with * This real-world comprehensive and robust tutorial will help you become an expert Who This Book Is For The book aims to serve DevOps engineers and system administrators who are familiar with the basics of managing a Linux system and its tools What You Will Learn * Understand the Mesos architecture * Manually spin up a Mesos cluster on a distributed infrastructure * Deploy a multi-node Mesos cluster using your favorite DevOps * See the nuts and bolts of scheduling, service discovery, failure handling, security, monitoring, and debugging in an enterprise-grade, production cluster deployment * Use Mesos to deploy big data frameworks, containerized applications, or even custom build your own applications effortlessly In Detail Apache Mesos is open source cluster management software that provides efficient resource isolations and resource sharing distributed applications or frameworks. This book will take you on a journey to enhance your knowledge from amateur to master level, showing you how to improve the efficiency, management, and development of Mesos clusters. The architecture is quite complex and this book will explore the difficulties and complexities of working with Mesos. We begin by introducing Mesos, explaining its architecture and functionality. Next, we provide a comprehensive overview of Mesos features and advanced topics such as high availability, fault tolerance, scaling, and efficiency. Furthermore, you will learn to set up multi-node Mesos clusters on private and public clouds. We will also introduce several Mesos-based scheduling and management frameworks or applications to enable the easy deployment, discovery, load balancing, and failure handling of long-running services. Next, you will find out how a Mesos cluster can be easily set up and monitored using the standard deployment and configuration management tools. This advanced guide will show you how to deploy important big data processing frameworks such as Hadoop, Spark, and Storm on Mesos and big data storage frameworks such as Cassandra, Elasticsearch, and Kafka. Style and approach This advanced guide provides a detailed step-by-step account of deploying a Mesos cluster. It will demystify the concepts behind Mesos.
Mastering Metasploit
by Nipun JaswalA comprehensive and detailed, step by step tutorial guide that takes you through important aspects of the Metasploit framework. If you are a penetration tester, security engineer, or someone who is looking to extend their penetration testing skills with Metasploit, then this book is ideal for you. The readers ofthis book must have a basic knowledge of using Metasploit. They are also expected to have knowledge of exploitation and an indepth understanding of object-oriented programming languages.
Mastering Metasploit,: Take your penetration testing and IT security skills to a whole new level with the secrets of Metasploit, 3rd Edition
by Nipun JaswalDiscover the next level of network defense with the Metasploit frameworkKey FeaturesGain the skills to carry out penetration testing in complex and highly-secured environmentsBecome a master using the Metasploit framework, develop exploits, and generate modules for a variety of real-world scenariosGet this completely updated edition with new useful methods and techniques to make your network robust and resilientBook DescriptionWe start by reminding you about the basic functionalities of Metasploit and its use in the most traditional ways. You’ll get to know about the basics of programming Metasploit modules as a refresher and then dive into carrying out exploitation as well building and porting exploits of various kinds in Metasploit.In the next section, you’ll develop the ability to perform testing on various services such as databases, Cloud environment, IoT, mobile, tablets, and similar more services. After this training, we jump into real-world sophisticated scenarios where performing penetration tests are a challenge. With real-life case studies, we take you on a journey through client-side attacks using Metasploit and various scripts built on the Metasploit framework.By the end of the book, you will be trained specifically on time-saving techniques using Metasploit.What you will learnDevelop advanced and sophisticated auxiliary modulesPort exploits from PERL, Python, and many more programming languagesTest services such as databases, SCADA, and many moreAttack the client side with highly advanced techniquesTest mobile and tablet devices with MetasploitBypass modern protections such as an AntiVirus and IDS with MetasploitSimulate attacks on web servers and systems with Armitage GUIScript attacks in Armitage using CORTANA scriptingWho this book is forThis book is a hands-on guide to penetration testing using Metasploit and covers its complete development. It shows a number of techniques and methodologies that will help you master the Metasploit framework and explore approaches to carrying out advanced penetration testing in highly secured environments.
Mastering Metasploit - Fourth Edition
by Nipun JaswalThis book targets professional penetration testers, security engineers, and law enforcement analysts who possess a basic knowledge of Metasploit, wish to master the Metasploit framework, and want to develop exploit and module development skills. Further, it helps all those researchers who want to add their custom functionalities to Metasploit. The book discusses Ruby programming and attack scripting using Cortana. A little knowledge and programming experience with Ruby and Cortana are required.