Cracking the Data Science Interview. Unlock insider tips from industry experts to master the data science field

Leondra R. Gonzalez, Aaren Stubberfield, Angela Baltes

The data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that determines the best fit for both the candidate and the company.Cracking the Data Science Interview provides expert guidance on approaching the interview process with full preparation and confidence. Starting with an introduction to the modern data science landscape, you’ll find tips on job hunting, resume writing, and creating a top-notch portfolio. You’ll then advance to topics such as Python, SQL databases, Git, and productivity with shell scripting and Bash. Building on this foundation, you'll delve into the fundamentals of statistics, laying the groundwork for pre-modeling concepts, machine learning, deep learning, and generative AI. The book concludes by offering insights into how best to prepare for the intensive data science interview.By the end of this interview guide, you’ll have gained the confidence, business acumen, and technical skills required to distinguish yourself within this competitive landscape and land your next data science job.

Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE

Michael Hsieh

Amazon SageMaker Studio is the first integrated development environment (IDE) for machine learning (ML) and is designed to integrate ML workflows: data preparation, feature engineering, statistical bias detection, automated machine learning (AutoML), training, hosting, ML explainability, monitoring, and MLOps in one environment.In this book, you'll start by exploring the features available in Amazon SageMaker Studio to analyze data, develop ML models, and productionize models to meet your goals. As you progress, you will learn how these features work together to address common challenges when building ML models in production. After that, you'll understand how to effectively scale and operationalize the ML life cycle using SageMaker Studio.By the end of this book, you'll have learned ML best practices regarding Amazon SageMaker Studio, as well as being able to improve productivity in the ML development life cycle and build and deploy models easily for your ML use cases.

PyTorch 1.x Reinforcement Learning Cookbook. Over 60 recipes to design, develop, and deploy self-learning AI models using Python

Yuxi (Hayden) Liu

Reinforcement learning (RL) is a branch of machine learning that has gained popularity in recent times. It allows you to train AI models that learn from their own actions and optimize their behavior. PyTorch has also emerged as the preferred tool for training RL models because of its efficiency and ease of use.With this book, you'll explore the important RL concepts and the implementation of algorithms in PyTorch 1.x. The recipes in the book, along with real-world examples, will help you master various RL techniques, such as dynamic programming, Monte Carlo simulations, temporal difference, and Q-learning. You'll also gain insights into industry-specific applications of these techniques. Later chapters will guide you through solving problems such as the multi-armed bandit problem and the cartpole problem using the multi-armed bandit algorithm and function approximation. You'll also learn how to use Deep Q-Networks to complete Atari games, along with how to effectively implement policy gradients. Finally, you'll discover how RL techniques are applied to Blackjack, Gridworld environments, internet advertising, and the Flappy Bird game.By the end of this book, you'll have developed the skills you need to implement popular RL algorithms and use RL techniques to solve real-world problems.

The Complete Coding Interview Guide in Java. An effective guide for aspiring Java developers to ace their programming interviews

Anghel Leonard

Java is one of the most sought-after programming languages in the job market, but cracking the coding interview in this challenging economy might not be easy. This comprehensive guide will help you to tackle various challenges faced in a coding job interview and avoid common interview mistakes, and will ultimately guide you toward landing your job as a Java developer.This book contains two crucial elements of coding interviews - a brief section that will take you through non-technical interview questions, while the more comprehensive part covers over 200 coding interview problems along with their hands-on solutions. This book will help you to develop skills in data structures and algorithms, which technical interviewers look for in a candidate, by solving various problems based on these topics covering a wide range of concepts such as arrays, strings, maps, linked lists, sorting, and searching. You'll find out how to approach a coding interview problem in a structured way that produces faster results. Toward the final chapters, you'll learn to solve tricky questions about concurrency, functional programming, and system scalability.By the end of this book, you'll have learned how to solve Java coding problems commonly used in interviews, and will have developed the confidence to secure your Java-centric dream job.

Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way

Trenton Potgieter, Jonathan Dahlberg

AWS provides a wide range of solutions to help automate a machine learning workflow with just a few lines of code. With this practical book, you'll learn how to automate a machine learning pipeline using the various AWS services.Automated Machine Learning on AWS begins with a quick overview of what the machine learning pipeline/process looks like and highlights the typical challenges that you may face when building a pipeline. Throughout the book, you'll become well versed with various AWS solutions such as Amazon SageMaker Autopilot, AutoGluon, and AWS Step Functions to automate an end-to-end ML process with the help of hands-on examples. The book will show you how to build, monitor, and execute a CI/CD pipeline for the ML process and how the various CI/CD services within AWS can be applied to a use case with the Cloud Development Kit (CDK). You'll understand what a data-centric ML process is by working with the Amazon Managed Services for Apache Airflow and then build a managed Airflow environment. You'll also cover the key success criteria for an MLSDLC implementation and the process of creating a self-mutating CI/CD pipeline using AWS CDK from the perspective of the platform engineering team.By the end of this AWS book, you'll be able to effectively automate a complete machine learning pipeline and deploy it to production.

Mastering Blockchain Programming with Solidity. Write production-ready smart contracts for Ethereum blockchain with Solidity

Jitendra Chittoda

Solidity is among the most popular and contract-oriented programming languages used for writing decentralized applications (DApps) on Ethereum blockchain. If you’re looking to perfect your skills in writing professional-grade smart contracts using Solidity, this book can help.You will get started with a detailed introduction to blockchain, smart contracts, and Ethereum, while also gaining useful insights into the Solidity programming language. A dedicated section will then take you through the different Ethereum Request for Comments (ERC) standards, including ERC-20, ERC-223, and ERC-721, and demonstrate how you can choose among these standards while writing smart contracts. As you approach later chapters, you will cover the different smart contracts available for use in libraries such as OpenZeppelin. You’ll also learn to use different open source tools to test, review and improve the quality of your code and make it production-ready. Toward the end of this book, you’ll get to grips with techniques such as adding security to smart contracts, and gain insights into various security considerations. By the end of this book, you will have the skills you need to write secure, production-ready smart contracts in Solidity from scratch for decentralized applications on Ethereum blockchain.

Nmap 6: Network Exploration and Security Auditing Cookbook. Want to master Nmap and its scripting engine? Then this book is for you – packed with practical tasks and precise instructions, it’s a comprehensive guide to penetration testing and network monitoring. Security in depth

Paulino Calderon, Gordon Lyon

Nmap is a well known security tool used by penetration testers and system administrators. The Nmap Scripting Engine (NSE) has added the possibility to perform additional tasks using the collected host information. Tasks like advanced fingerprinting and service discovery, information gathering, and detection of security vulnerabilities.Nmap 6: Network exploration and security auditing cookbook will help you master Nmap and its scripting engine. You will learn how to use this tool to do a wide variety of practical tasks for pentesting and network monitoring. Finally, after harvesting the power of NSE, you will also learn how to write your own NSE scripts.Nmap 6: Network exploration and security auditing cookbook is a book full of practical knowledge for every security consultant, administrator or enthusiast looking to master Nmap. The book overviews the most important port scanning and host discovery techniques supported by Nmap. You will learn how to detect mis-configurations in web, mail and database servers and also how to implement your own monitoring system. The book also covers tasks for reporting, scanning numerous hosts, vulnerability detection and exploitation, and its strongest aspect; information gathering.

The Machine Learning Solutions Architect Handbook. Create machine learning platforms to run solutions in an enterprise setting

David Ping

When equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one. You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases.By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional.

Drupal 7 Business Solutions. Drupal open source content management is the perfect solution for small business websites, and this book takes you through the whole process step-by-step, from installing Drupal to incorporating sophisticated e-commerce modules

Trevor James, Mark Noble

You can use the Drupal 7 content management system to build a small business website quickly. You may add blogs, images, maps, e-commerce, social application integration, and more to your site to connect with your customers and make more money from your business.Drupal 7 Business Solutions will give you hands-on practical tutorials on how to build a rich and dynamic website for your business quickly using one of the most popular tools in open source.You'll start by adding blogs and images to your website. Then you'll learn how to add a VIP section to your site so that you can give your logged in users special discounts and other VIP freebies. Next, you will learn to send your customers e-mail newsletters and show them a dynamic events calendar.The book will then teach you to add e-commerce to your site so you can sell your products online. You'll add YouTube videos and Google maps to help enhance your business site. You will then learn to incorporate feedback mechanisms for your customers.The book also explains how to maintain your site, upgrade it, and continue adding dynamic content to it.

OpenLayers Cookbook. The best method to learn the many ways OpenLayers can be used to render data on maps is to dive straight into these recipes. With a mix of basic and advanced techniques, it’s ideal for JavaScript novices and experts alike

Antonio Santiago Perez, Antonio Santiago

Data visualization and analysis has become an important task for many companies. Understanding the basic concepts of GIS and knowing how to visualize data on a map is a required ability for many professionals today. OpenLayers is a JavaScript library to load, display, and render maps from multiple sources on web pages.OpenLayers Cookbook teaches how to work with OpenLayers, one of the most important and complete open source JavaScript libraries.Through an extensive set of recipes, this book shows how to work with the main concepts required to build a GIS web applicationñ maps, raster and vector layers, styling, theming, and so on.OpenLayers Cookbook includes problem solving and how-to recipes for the most common and important tasks. A wide range of topics are covered.The range of recipes includes: creating basic maps, working with raster and vector layers, understanding events and working with main controls, reading features from different data sources, styling features, and understanding the underlying architecture.OpenLayers Cookbook describes solutions and optimizations to problems commonly found.

Mastering Akka. A hands-on guide to build application using the Akka framework

Christian Baxter

For a programmer, writing multi-threaded applications is critical as it is important to break large tasks into smaller ones and run them simultaneously. Akka is a distributed computing toolkit that uses the abstraction of the Actor model, enabling developers to build correct, concurrent, and distributed applications using Java and Scala with ease. The book begins with a quick introduction that simplifies concurrent programming with actors. We then proceed to master all aspects of domain-driven design. We’ll teach you how to scale out with Akka Remoting/Clustering. Finally, we introduce Conductr as a means to deploy to and manage microservices across a cluster.

Salesforce Anti-Patterns. Create powerful Salesforce architectures by learning from common mistakes made on the platform

Lars Malmqvist

Salesforce Anti-Patterns teaches you to spot errors in Salesforce patterns that may seem like a good idea at first but end up costing you dearly. This book will enable Salesforce developers and architects to understand how ingenious Salesforce architectures can be created by studying anti-patterns and solutions to problems that can later lead to serious implementation issues. While there are several books on the market that start with the question, “How do I create great Salesforce architecture?” and proceed to a solution from there, this book instead starts by asking, “What tends to go wrong with Salesforce architectures?” and proceeds to a solution from there.In this book, you’ll find out how to identify and mitigate anti-patterns in the technical domains of system architecture, data architecture, and security architecture, along with anti-patterns in the functional domain of solution architecture as well as for integration architecture. You’ll also learn about common anti-patterns affecting your Salesforce development process and governance and, finally, how to spot common problems in how architects communicate their solutions.By the end of this Salesforce book, you’ll have gained the confidence to architect and communicate solutions on the Salesforce platform while dodging common mistakes.

Administering Windows Server Hybrid Core Infrastructure AZ-800 Exam Guide. Design, implement, and manage Windows Server core infrastructure on-premises and in the cloud

Steve Miles

Written by an Azure MVP and Microsoft Certified Trainer with 20 years of experience in data center infrastructure, this AZ-800 study guide is an essential preparation tool for administrators who want to take the exam and acquire key skills that will help them thrive in their careers.This book will guide you through all the ways Windows Server can be used to manage hybrid solutions on-premises and in the cloud, starting with deploying and managing Active Directory Domain Services (AD DS) in on-premises and cloud environments. You’ll then dive into managing virtual machines and containers and progress to implementing and managing an on-premises and hybrid networking infrastructure.The later parts of the book focus on managing storage and file services, concluding with a detailed overview of all the knowledge needed to pass the AZ-800 exam with practical examples throughout the chapters. In the final chapter, you’ll be able to test your understanding of the topics covered with the help of practice exams to make sure that you’re completely prepared for the contents and structure of the exam.By the end of the book, you’ll have gained the knowledge, both practical and conceptual, that's required to administer Windows Server hybrid core infrastructure confidently.

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.

Implementing Cisco UCS Solutions. Cisco Unified Computer System is a powerful solution for data centers that can raise efficiency and lower costs. This tutorial helps professionals realize its full potential through a practical, hands-on approach written by two Cisco experts

Prasenjit Sarkar, Farhan Nadeem, Prasenjit Sarkar

Cisco Unified Computing System(UCS) provides unique features for the contemporary data centres. Cisco UCS is a unified solution that consolidates computing, network and storage connectivity components along-with centralized management. Cisco UCS reduces TCO and improves scalability and flexibility. Stateless computing blade server's design simplifies the troubleshooting, and Cisco-patented extended memory technology provides higher virtualized servers consolidation results.A hands-on guide to take you through deployment in Cisco UCS. With real-world examples for configuring and deploying Cisco UCS components, this book will prepare you for the practical deployments of Cisco UCS data centre solutions.If you want to learn and enhance your hands-on skills with Cisco UCS solutions, this book is certainly for you.Starting with the description of Cisco UCS equipment options, this hands-on guide then introduces Cisco UCS Emulator which is an excellent resource to practically learn Cisco UCS components' deployment. You will also be introduced to all areas of UCS solutions with practical configuration examples.You will also discover the Cisco UCS Manager, which is the centralized management interface for Cisco UCS. Once you get to know UCS Manager, the book dives deeper into configuring LAN, SAN, identity pools, resource pools, and service profiles for the servers. The book also presents other administration topics including Backup, Restore, user's roles, and high availability cluster configuration. Finally, you will learn about virtualized networking, 3rd party integration tools and testing failure scenarios.You will learn everything you need to know for the rapidly growing Cisco UCS deployments in the real-world.

Django 1.0 Template Development. A practical guide to Django template development with custom tags, filters, multiple templates, caching, and more

Scott Newman, Jacob Kaplan-Moss