Cracking The Operating Systems Skills
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Cracking the Operating Systems Skills
Author: RMD Sundaram
language: en
Publisher: I K International Pvt Ltd
Release Date: 2018-08-10
This book has been specifically designed to orient students for the technical interview in Operating System concepts. This book has been written to help students undertake a thorough and objective preparation. The contents have been carefully handpicked from authors' experience and expertise developed by being either direct witness to the recruitment process, mentoring students in their colleges, myriad discussion with peers who are placement organizers in colleges, hours of studying discussions on the topics in social media, blogs and dedicated web sites, and so it is no wonder that the book is highly focused for interview preparation in Operating System. This book includes the latest topics and questions discussed in top companies today while continuing to maintain the emphasis on basic concepts along with problem solving skills for both students preparing for exams and for interviewees.
Technical Guide to Information Security Testing and Assessment
An info. security assessment (ISA) is the process of determining how effectively an entity being assessed (e.g., host, system, network, procedure, person) meets specific security objectives. This is a guide to the basic tech. aspects of conducting ISA. It presents tech. testing and examination methods and techniques that an org. might use as part of an ISA, and offers insights to assessors on their execution and the potential impact they may have on systems and networks. For an ISA to be successful, elements beyond the execution of testing and examination must support the tech. process. Suggestions for these activities ¿ including a robust planning process, root cause analysis, and tailored reporting ¿ are also presented in this guide. Illus.
Cracking the Data Science Interview
Author: Leondra R. Gonzalez
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-02-29
Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much more Key Features Acquire highly sought-after skills of the trade, including Python, SQL, statistics, and machine learning Gain the confidence to explain complex statistical, machine learning, and deep learning theory Extend your expertise beyond model development with version control, shell scripting, and model deployment fundamentals Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe 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.What you will learn Explore data science trends, job demands, and potential career paths Secure interviews with industry-standard resume and portfolio tips Practice data manipulation with Python and SQL Learn about supervised and unsupervised machine learning models Master deep learning components such as backpropagation and activation functions Enhance your productivity by implementing code versioning through Git Streamline workflows using shell scripting for increased efficiency Who this book is for Whether you're a seasoned professional who needs to brush up on technical skills or a beginner looking to enter the dynamic data science industry, this book is for you. To get the most out of this book, basic knowledge of Python, SQL, and statistics is necessary. However, anyone familiar with other analytical languages, such as R, will also find value in this resource as it helps you revisit critical data science concepts like SQL, Git, statistics, and deep learning, guiding you to crack through data science interviews.