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Operationalizing Machine Learning Pipelines : Building Reusable and Reproducible Machine Learning Pipelines Using MLOps / Vishwajyoti PANDEY / BPB Publications (2022)
Titre : Operationalizing Machine Learning Pipelines : Building Reusable and Reproducible Machine Learning Pipelines Using MLOps Type de document : e-book Auteurs : Vishwajyoti PANDEY Editeur : BPB Publications Année de publication : 2022 ISBN/ISSN/EAN : 9789355510235 Note générale : copyrighted Langues : Anglais (eng) Résumé : Implementing ML pipelines using MLOps Key Features In-depth knowledge of MLOps, including recommendations for tools and processes. Includes only open-source cloud-agnostic tools for demonstrating MLOps. Covers end-to-end examples of implementing the whole process on Google Cloud Platform. Description This book will provide you with an in-depth understanding of MLOps and how you can use it inside an enterprise. Each tool discussed in this book has been thoroughly examined, providing examples of how to install and use them, as well as sample data. This book will teach you about every stage of the machine learning lifecycle and how to implement them within an organisation using a machine learning framework. With GitOps, you'll learn how to automate operations and create reusable components such as feature stores for use in various contexts. You will learn to create a server-less training and deployment platform that scales automatically based on demand. You will learn about Polyaxon for machine learning model training, and KFServing, for model deployment. Additionally, you will understand how you should monitor machine learning models in production and what factors can degrade the model's performance. You can apply the knowledge gained from this book to adopt MLOps in your organisation and tailor the requirements to your specific project. As you keep an eye on the model's performance, you'll be able to train and deploy it more quickly and with greater confidence. What you will learn Quick grasp of the entire machine learning lifecycle and tricks to manage all components. Learn to train and validate machine learning models for scalability. Get to know the pros of cloud computing for scaling ML operations. Covers aspects of ML operations, such as reproducibility and scalability, in detail. Get to know how to monitor machine learning models in production. Learn and practice automating the ML training and deployment processes. Who this book is for This book is intended for machine learning specialists, data scientists, and data engineers who wish to improve and increase their MLOps knowledge to streamline machine learning initiatives. Readers with a working knowledge of the machine learning lifecycle would be advantageous. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88937936 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=572799 Pandas in 7 Days : Utilize Python to Manipulate Data, Conduct Scientific Computing, Time Series Analysis, and Exploratory Data Analysis / Fabio NELLI / BPB Publications (2022)
Titre : Pandas in 7 Days : Utilize Python to Manipulate Data, Conduct Scientific Computing, Time Series Analysis, and Exploratory Data Analysis Type de document : e-book Auteurs : Fabio NELLI Editeur : BPB Publications Année de publication : 2022 ISBN/ISSN/EAN : 9789355512130 Note générale : copyrighted Langues : Anglais (eng) Résumé : Make data analysis fast, reliable, and clean with Python, Pandas and Matplotlib.Key Features? A detailed walk-through of the Pandas library's features with multiple examples.? Numerous graphical representations and reporting capabilities using popular Matplotlib.? A high-level overview of extracting data from including files, databases, and the web.DescriptionNo matter how large or small your dataset is, the author 'Fabio Nelli' simply used this book to teach all the finest technical coaching on applying Pandas to conduct data analysis with zero worries.Both newcomers and seasoned professionals will benefit from this book. It teaches you how to use the pandas library in just one week. Every day of the week, you'll learn and practise the features and data analysis exercises listed below:Day 01: Get familiar with the fundamental data structures of pandas, including Declaration, data upload, indexing, and so on.Day 02: Execute commands and operations related to data selection and extraction, including slicing, sorting, masking, iteration, and query execution.Day 03: Advanced commands and operations such as grouping, multi-indexing, reshaping, cross-tabulations, and aggregations.Day 04: Working with several data frames, including comparison, joins, concatenation, and merges.Day 05: Cleaning, pre-processing, and numerous strategies for data extraction from external files, the web, databases, and other data sources.Day 06: Working with missing data, interpolation, duplicate labels, boolean data types, text data, and time-series datasets.Day 07: Introduction to Jupyter Notebooks, interactive data analysis, and analytical reporting with Matplotlib's stunning graphics.What you will learn?Extract, cleanse, and process data from databases, text files, HTML pages, and JSON data.?Work with DataFrames and Series, and apply functions to scale data manipulations.?Graph your findings using charts typically used in modern business analytics.?Learn to use all of the pandas basic and advanced features independently. ? Storing and manipulating labeled/columnar data efficiently.Who this book is forIf you're looking to expedite a data science or sophisticated data analysis project, you've come to the perfect place. Each data analysis topic is covered step-by-step with real-world examples. Python knowledge isn't required however, knowing a little bit helpsTable of Contents1. Pandas, the Python library2. Setting up a Data Analysis Environment3. Day 1 - Data Structures in Pandas library4. Day 2 - Working within a DataFrame, Basic Functionalities5. Day 3 - Working within a DataFrame, Advanced Functionalities6. Day 4 - Working with two or more DataFrames7. Day 5 - Working with data sources and real-word datasets8. Day 6 - Troubleshooting Challenges wit Real Datasets9. Day 7 - Data Visualization and Reporting10. Conclusion – Moving Beyond Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88937959 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=572845 Penetration Testing for Jobseekers : Perform Ethical Hacking across Web Apps, Networks, Mobile Devices using Kali Linux, Burp Suite, MobSF, and Metasploit / Debasish MANDAL / BPB Publications (2022)
Titre : Penetration Testing for Jobseekers : Perform Ethical Hacking across Web Apps, Networks, Mobile Devices using Kali Linux, Burp Suite, MobSF, and Metasploit Type de document : e-book Auteurs : Debasish MANDAL Editeur : BPB Publications Année de publication : 2022 ISBN/ISSN/EAN : 9789355511973 Note générale : copyrighted Langues : Anglais (eng) Résumé : Understand and Conduct Ethical Hacking and Security AssessmentsKey Features? Practical guidance on discovering, assessing, and mitigating web, network, mobile, and wireless vulnerabilities.? Experimentation with Kali Linux, Burp Suite, MobSF, Metasploit and Aircrack-suite.? In-depth explanation of topics focusing on how to crack ethical hacking interviews.DescriptionPenetration Testing for Job Seekers is an attempt to discover the way to a spectacular career in cyber security, specifically penetration testing. This book offers a practical approach by discussing several computer and network fundamentals before delving into various penetration testing approaches, tools, and techniques.Written by a veteran security professional, this book provides a detailed look at the dynamics that form a person's career as a penetration tester. This book is divided into ten chapters and covers numerous facets of penetration testing, including web application, network, Android application, wireless penetration testing, and creating excellent penetration test reports. This book also shows how to set up an in-house hacking lab from scratch to improve your skills. A penetration tester's professional path, possibilities, average day, and day-to-day obstacles are all outlined to help readers better grasp what they may anticipate from a cybersecurity career.Using this book, readers will be able to boost their employability and job market relevance, allowing them to sprint towards a lucrative career as a penetration tester.What you will learn? Perform penetration testing on web apps, networks, android apps, and wireless networks.? Access to the most widely used penetration testing methodologies and standards in the industry. ? Use an artistic approach to find security holes in source code.? Learn how to put together a high-quality penetration test report.? Popular technical interview questions on ethical hacker and pen tester job roles.? Exploration of different career options, paths, and possibilities in cyber security.Who this book is forThis book is for aspiring security analysts, pen testers, ethical hackers, anyone who wants to learn how to become a successful pen tester. A fundamental understanding of network principles and workings is helpful but not required.Table of Contents1. Cybersecurity, Career Path, and Prospects2. Introduction to Penetration Testing3. Setting Up Your Lab for Penetration Testing4. Web Application and API Penetration Testing5. The Art of Secure Source Code Review6. Penetration Testing Android Mobile Applications7. Network Penetration Testing8. Wireless Penetration Testing9. Report Preparation and Documentation10. A Day in the Life of a Pen Tester Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88937955 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=572841 Practical Cyber Threat Intelligence : Gather, Process, and Analyze Threat Actor Motives, Targets, and Attacks with Cyber Intelligence Practices / Dr. Erdal OZKAYA / BPB Publications (2022)
Titre : Practical Cyber Threat Intelligence : Gather, Process, and Analyze Threat Actor Motives, Targets, and Attacks with Cyber Intelligence Practices Type de document : e-book Auteurs : Dr. Erdal OZKAYA Editeur : BPB Publications Année de publication : 2022 ISBN/ISSN/EAN : 9789355510297 Note générale : copyrighted Langues : Anglais (eng) Résumé : Knowing your threat actors together with your weaknesses and the technology will master your defenseKey Features? Gain practical experience with cyber threat intelligence by using the book's lab sections.? Improve your CTI skills by designing a threat intelligence system.? Assisting you in bridging the gap between cybersecurity teams.? Developing your knowledge of Cyber Intelligence tools and how to choose them.DescriptionWhen your business assets are threatened or exposed to cyber risk, you want a high-quality threat hunting team armed with cutting-edge threat intelligence to build the shield. Unfortunately, regardless of how effective your cyber defense solutions are, if you are unfamiliar with the tools, strategies, and procedures used by threat actors, you will be unable to stop them.This book is intended to provide you with the practical exposure necessary to improve your cyber threat intelligence and hands-on experience with numerous CTI technologies. This book will teach you how to model threats by gathering adversarial data from various sources, pivoting on the adversarial data you have collected, developing the knowledge necessary to analyse them and discriminating between bad and good information.The book develops and hones the analytical abilities necessary for extracting, comprehending, and analyzing threats comprehensively. The readers will understand the most common indicators of vulnerability that security professionals can use to determine hacking attacks or threats in their systems quickly. In addition, the reader will investigate and illustrate ways to forecast the scope of attacks and assess the potential harm they can cause.What you will learn? Hands-on experience in developing a powerful and robust threat intelligence model.? Acquire the ability to gather, exploit, and leverage adversary data.? Recognize the difference between bad intelligence and good intelligence.? Creating heatmaps and various visualization reports for better insights.? Investigate the most typical indicators of security compromise.? Strengthen your analytical skills to understand complicated threat scenarios better.Who this book is forThe book is designed for aspiring Cyber Threat Analysts, Security Analysts, Cybersecurity specialists, Security Consultants, and Network Security Professionals who wish to acquire and hone their analytical abilities to identify and counter threats quickly.Table of Contents1. Basics of Threat Analysis and Modeling2. Formulate a Threat Intelligence Model3. Adversary Data Collection Sources & Methods4. Pivot Off and Extracting Adversarial Data5. Primary Indicators of Security Compromise6. Identify & Build Indicators of Compromise7. Conduct Threat Assessments In Depth8. Produce Heat Maps, Infographics & Dashboards9. Build Reliable & Robust Threat Intelligence System10. Learn Statistical Approaches for Threat Intelligence11. Develop Analytical Skills for Complex Threats12. Planning for Disaster Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88937970 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=572856 Practical Deep Reinforcement Learning with Python : Concise Implementation of Algorithms, Simplified Maths, and Effective Use of TensorFlow and PyTorch (English Edition) / Ivan GRIDIN / BPB Publications (2022)
Titre : Practical Deep Reinforcement Learning with Python : Concise Implementation of Algorithms, Simplified Maths, and Effective Use of TensorFlow and PyTorch (English Edition) Type de document : e-book Auteurs : Ivan GRIDIN Editeur : BPB Publications Année de publication : 2022 ISBN/ISSN/EAN : 9789355512055 Note générale : copyrighted Langues : Anglais (eng) Résumé : Introducing Practical Smart Agents Development using Python, PyTorch, and TensorFlowKey Features? Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical.? Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects.? Everything is concise, up-to-date, and visually explained with simplified mathematics.DescriptionReinforcement learning is a fascinating branch of AI that differs from standard machine learning in several ways. Adaptation and learning in an unpredictable environment is the part of this project. There are numerous real-world applications for reinforcement learning these days, including medical, gambling, human imitation activity, and robotics.This book introduces readers to reinforcement learning from a pragmatic point of view. The book does involve mathematics, but it does not attempt to overburden the reader, who is a beginner in the field of reinforcement learning.The book brings a lot of innovative methods to the reader's attention in much practical learning, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical methods. While you understand these techniques in detail, the book also provides a real implementation of these methods and techniques using the power of TensorFlow and PyTorch. The book covers some enticing projects that show the power of reinforcement learning, and not to mention that everything is concise, up-to-date, and visually explained.After finishing this book, the reader will have a thorough, intuitive understanding of modern reinforcement learning and its applications, which will tremendously aid them in delving into the interesting field of reinforcement learning.What you will learn? Familiarize yourself with the fundamentals of Reinforcement Learning and Deep Reinforcement Learning.? Make use of Python and Gym framework to model an external environment.? Apply classical Q-learning, Monte Carlo, Policy Gradient, and Thompson sampling techniques.? Explore TensorFlow and PyTorch to practice the fundamentals of deep reinforcement learning.? Design a smart agent for a particular problem using a specific technique.Who this book is forThis book is for machine learning engineers, deep learning fanatics, AI software developers, data scientists, and other data professionals eager to learn and apply Reinforcement Learning to ongoing projects. No specialized knowledge of machine learning is necessary; however, proficiency in Python is desired. Table of ContentsPart I1. Introducing Reinforcement Learning2. Playing Monopoly and Markov Decision Process3. Training in Gym4. Struggling With Multi-Armed Bandits5. Blackjack in Monte Carlo6. Escaping Maze With Q-Learning7. Discretization Part II. Deep Reinforcement Learning8. TensorFlow, PyTorch, and Your First Neural Network9. Deep Q-Network and Lunar Lander10. Defending Atlantis With Double Deep Q-Network11. From Q-Learning to Policy-Gradient12. Stock Trading With Actor-Critic13. What Is Next? Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88937984 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=572870 Practical Machine Learning with Spark : Uncover Apache Spark’s Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML / Gourav GUPTA / BPB Publications (2022)PermalinkPractical Mathematics for AI and Deep Learning : A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning (English Edition) / Tamoghna GHOSH / BPB Publications (2022)PermalinkPractitioner’s Guide to Data Science : Streamlining Data Science Solutions using Python, Scikit-Learn, and Azure ML Service Platform / Nasir ALI MIRZA / BPB Publications (2022)PermalinkPython Text Mining : Perform Text Processing, Word Embedding, Text Classification and Machine Translation / Alexandra GEORGE / BPB Publications (2022)PermalinkQuantum Computing and Future : Understand Quantum Computing and Its Impact on the Future of Business / Utpal CHAKRABORTY / BPB Publications (2022)PermalinkQuerying MariaDB : Use SQL Operations, Data Extraction, and Custom Queries to Make your MariaDB Database Analytics more Accessible (English Edition) / Adam ASPIN / BPB Publications (2022)PermalinkQuerying MySQL : Make your MySQL database analytics accessible with SQL operations, data extraction, and custom queries (English Edition) / Adam ASPIN / BPB Publications (2022)PermalinkQuerying SQL Server : Run T-SQL operations, data extraction, data manipulation, and custom queries to deliver simplified analytics (English Edition) / Adam ASPIN / BPB Publications (2022)PermalinkRobotics Simplified : An Illustrative Guide to Learn Fundamentals of Robotics, Including Kinematics, Motion Control, and Trajectory Planning / Dr. Jisu ELSA JACOB / BPB Publications (2022)PermalinkRust Crash Course : Build High-Performance, Efficient and Productive Software with the Power of Next-Generation Programming Skills (English Edition) / Abhishek KUMAR / BPB Publications (2022)Permalink
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