Hacker S Guide To Machine Learning Concepts

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Hacker S Guide To Machine Learning Concepts

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Author : Trilokesh Khatri
language : en
Publisher: Educohack Press
Release Date : 2025-01-03

Hacker S Guide To Machine Learning Concepts written by Trilokesh Khatri and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.

Hacker’s Guide to Machine Learning Concepts is crafted for those eager to dive into the world of ethical hacking. This book demonstrates how ethical hacking can help companies identify and fix vulnerabilities efficiently. With the rise of data and the evolving IT industry, the scope of ethical hacking continues to expand. We cover various hacking techniques, identifying weak points in programs, and how to address them. The book is accessible even to beginners, offering chapters on machine learning and programming in Python. Written in an easy-to-understand manner, it allows learners to practice hacking steps independently on Linux or Windows systems using tools like Netsparker. This book equips you with fundamental and intermediate knowledge about hacking, making it an invaluable resource for learners.

The Hacker S Guide To Scaling Python

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Author : Julien Danjou
language : en
Publisher: Julien Danjou
Release Date : 2017

The Hacker S Guide To Scaling Python written by Julien Danjou and has been published by Julien Danjou this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Computers categories.

Python is a wonderful programming language that allows writing applications quickly. But how do you make those applications scale for thousands of users and requests? It takes years of practice, research, trial and errors to build experience and knowledge along the way. Simple questions such as "How do I make my code faster?" or "How do I make sure there is no bottleneck?" cost hours to find good answers. Without enough background on the topic, you'll never be sure that any answer you'll come up with will be correct. The Hacker's Guide to Scaling Python will help you solve that by providing guidelines, tips and best practice. Adding a few interviews of experts on the subject, you will learn how you can distribute your Python application so it is able to process thousands of requests.

Ethical Hacking Exam Study Guide

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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2024-10-26

Ethical Hacking Exam Study Guide written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Study Aids categories.

Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

Guide To Deep Learning Basics

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Author : Sandro Skansi
language : en
Publisher: Springer Nature
Release Date : 2020-01-23

Guide To Deep Learning Basics written by Sandro Skansi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-23 with Computers categories.

This stimulating text/reference presents a philosophical exploration of the conceptual foundations of deep learning, presenting enlightening perspectives that encompass such diverse disciplines as computer science, mathematics, logic, psychology, and cognitive science. The text also highlights select topics from the fascinating history of this exciting field, including the pioneering work of Rudolf Carnap, Warren McCulloch, Walter Pitts, Bulcsú László, and Geoffrey Hinton. Topics and features: Provides a brief history of mathematical logic, and discusses the critical role of philosophy, psychology, and neuroscience in the history of AI Presents a philosophical case for the use of fuzzy logic approaches in AI Investigates the similarities and differences between the Word2vec word embedding algorithm, and the ideas of Wittgenstein and Firth on linguistics Examines how developments in machine learning provide insights into the philosophical challenge of justifying inductive inferences Debates, with reference to philosophical anthropology, whether an advanced general artificial intelligence might be considered as a living being Investigates the issue of computational complexity through deep-learning strategies for understanding AI-complete problems and developing strong AI Explores philosophical questions at the intersection of AI and transhumanism This inspirational volume will rekindle a passion for deep learning in those already experienced in coding and studying this discipline, and provide a philosophical big-picture perspective for those new to the field.

Tensorflow Machine Learning Cookbook

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Author : Nick McClure
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-31

Tensorflow Machine Learning Cookbook written by Nick McClure and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-31 with Computers categories.

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models Key Features Exploit the features of Tensorflow to build and deploy machine learning models Train neural networks to tackle real-world problems in Computer Vision and NLP Handy techniques to write production-ready code for your Tensorflow models Book Description TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and allow you to dig deeper and gain more insights into your data than ever before. With the help of this book, you will work with recipes for training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and more. You will explore RNNs, CNNs, GANs, reinforcement learning, and capsule networks, each using Google's machine learning library, TensorFlow. Through real-world examples, you will get hands-on experience with linear regression techniques with TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you will be shown how to take it to production. By the end of the book, you will be proficient in the field of machine intelligence using TensorFlow. You will also have good insight into deep learning and be capable of implementing machine learning algorithms in real-world scenarios. What you will learn Become familiar with the basic features of the TensorFlow library Get to know Linear Regression techniques with TensorFlow Learn SVMs with hands-on recipes Implement neural networks to improve predictive modeling Apply NLP and sentiment analysis to your data Master CNN and RNN through practical recipes Implement the gradient boosted random forest to predict housing prices Take TensorFlow into production Who this book is for If you are a data scientist or a machine learning engineer with some knowledge of linear algebra, statistics, and machine learning, this book is for you. If you want to skip the theory and build production-ready machine learning models using Tensorflow without reading pages and pages of material, this book is for you. Some background in Python programming is assumed.

Oscp Certification Guide

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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :

Oscp Certification Guide written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Master the Art of Ethical Hacking with the "OSCP Certification Guide" In an era where cyber threats are constantly evolving, organizations require skilled professionals who can identify and secure vulnerabilities in their systems. The Offensive Security Certified Professional (OSCP) certification is the gold standard for ethical hackers and penetration testers. "OSCP Certification Guide" is your comprehensive companion on the journey to mastering the OSCP certification, providing you with the knowledge, skills, and mindset to excel in the world of ethical hacking. Your Gateway to Ethical Hacking Proficiency The OSCP certification is highly respected in the cybersecurity industry and signifies your expertise in identifying and exploiting security vulnerabilities. Whether you're an experienced ethical hacker or just beginning your journey into this exciting field, this guide will empower you to navigate the path to certification. What You Will Discover OSCP Exam Format: Gain a deep understanding of the OSCP exam format, including the rigorous 24-hour hands-on practical exam. Penetration Testing Techniques: Master the art of ethical hacking through comprehensive coverage of penetration testing methodologies, tools, and techniques. Real-World Scenarios: Immerse yourself in practical scenarios, lab exercises, and challenges that simulate real-world hacking situations. Exploit Development: Learn the intricacies of exploit development, enabling you to craft custom exploits to breach security systems. Post-Exploitation: Explore post-exploitation tactics, privilege escalation, lateral movement, and maintaining access in compromised systems. Career Advancement: Discover how achieving the OSCP certification can open doors to exciting career opportunities and significantly increase your earning potential. Why "OSCP Certification Guide" Is Essential Comprehensive Coverage: This book provides comprehensive coverage of the OSCP exam topics, ensuring that you are fully prepared for the certification exam. Expert Guidance: Benefit from insights and advice from experienced ethical hackers who share their knowledge and industry expertise. Career Enhancement: The OSCP certification is globally recognized and is a valuable asset for ethical hackers and penetration testers seeking career advancement. Stay Ahead: In a constantly evolving cybersecurity landscape, mastering ethical hacking is essential for staying ahead of emerging threats and vulnerabilities. Your Journey to OSCP Certification Begins Here The "OSCP Certification Guide" is your roadmap to mastering the OSCP certification and advancing your career in ethical hacking and penetration testing. Whether you aspire to protect organizations from cyber threats, secure critical systems, or uncover vulnerabilities, this guide will equip you with the skills and knowledge to achieve your goals. The "OSCP Certification Guide" is the ultimate resource for individuals seeking to achieve the Offensive Security Certified Professional (OSCP) certification and excel in the field of ethical hacking and penetration testing. Whether you are an experienced ethical hacker or new to the field, this book will provide you with the knowledge and strategies to excel in the OSCP exam and establish yourself as an expert in ethical hacking. Don't wait; begin your journey to OSCP certification success today! © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Machine Learning For Finance

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Author : Jannes Klaas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-05-30

Machine Learning For Finance written by Jannes Klaas and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-30 with Computers categories.

A guide to advances in machine learning for financial professionals, with working Python code Key FeaturesExplore advances in machine learning and how to put them to work in financial industriesClear explanation and expert discussion of how machine learning works, with an emphasis on financial applicationsDeep coverage of advanced machine learning approaches including neural networks, GANs, and reinforcement learningBook Description Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including in insurance, transactions, and lending. It explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself. The book is based on Jannes Klaas’ experience of running machine learning training courses for financial professionals. Rather than providing ready-made financial algorithms, the book focuses on the advanced ML concepts and ideas that can be applied in a wide variety of ways. The book shows how machine learning works on structured data, text, images, and time series. It includes coverage of generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. It discusses how to fight bias in machine learning and ends with an exploration of Bayesian inference and probabilistic programming. What you will learnApply machine learning to structured data, natural language, photographs, and written textHow machine learning can detect fraud, forecast financial trends, analyze customer sentiments, and moreImplement heuristic baselines, time series, generative models, and reinforcement learning in Python, scikit-learn, Keras, and TensorFlowDig deep into neural networks, examine uses of GANs and reinforcement learningDebug machine learning applications and prepare them for launchAddress bias and privacy concerns in machine learningWho this book is for This book is ideal for readers who understand math and Python, and want to adopt machine learning in financial applications. The book assumes college-level knowledge of math and statistics.

How To Do Growth Hacking A Practical Guide

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Author : Samuel James
language : en
Publisher: Dr. Samuel Inbaraja S
Release Date : 2023-08-11

How To Do Growth Hacking A Practical Guide written by Samuel James and has been published by Dr. Samuel Inbaraja S this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-11 with Business & Economics categories.

"How to Do Growth Hacking - A Practical Guide" is more than a book; it's a growth companion. Whether you're just starting your growth hacking journey or looking to refine your existing strategies, this book offers the practical knowledge, ethical guidance, and innovative insights you need to thrive in today's business environment. It's not just about growing fast; it's about growing smart, sustainably, and ethically. Make this guide your trusted partner in that growth journey. How This Book will Help Solve Your Problems Whether you're struggling to acquire new customers, retain existing ones, or scale your business, this book serves as a problem-solving toolkit. The step-by-step guidance on topics like customer acquisition (Chapter 4), retention strategies (Chapter 6), and scaling up (Chapter 14) ensures that you have a roadmap tailored to your unique challenges. Practical Help for Real-world Challenges Unlike generic business guides, "How to Do Growth Hacking - A Practical Guide" is designed with real-world applicability in mind. The hands-on worksheets, case studies, and actionable insights are crafted to provide solutions to the challenges you face in your daily business operations. 1. Comprehensive Coverage of Growth Hacking Essentials From the foundational mindset of a growth hacker to the future of AI and machine learning in growth hacking, this guide offers 18 comprehensive chapters that cover every facet of growth hacking. This isn't just a theoretical exploration; each chapter provides practical insights, tools, and methods that you can apply immediately. 2. Hands-On Approach with Dedicated Worksheets Chapter 18 is dedicated to worksheets that are designed to help you translate theory into action. These exercises and templates will guide you in implementing the strategies discussed in the book, making it a truly interactive learning experience. 3. Emphasis on Ethical Considerations In the wake of rising consumer awareness and regulatory scrutiny, Chapter 15 focuses on ethical considerations in growth hacking. This section ensures that you understand how to conduct growth hacking responsibly, building trust and integrity. 4. Insights into the Latest Trends and Technologies Chapter 16 delves into the future of growth hacking, exploring AI, machine learning, and emerging trends. Staying ahead of the curve is essential in this ever-evolving field, and this book equips you with the knowledge to innovate and adapt to technological advancements.

Artificial Intelligence And Deep Learning For Decision Makers

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Author : Dr. Jagreet Kaur
language : en
Publisher: BPB Publications
Release Date : 2019-12-28

Artificial Intelligence And Deep Learning For Decision Makers written by Dr. Jagreet Kaur and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-28 with Computers categories.

Learn modern-day technologies from modern-day technical giants DESCRIPTIONÊ The aim of this book is to help the readers understand the concept of artificial intelligence and deep learning methods and implement them into their businesses and organizations.Ê The first two chapters describe the introduction of the artificial intelligence and deep learning methods. In the first chapter, the concept of human thinking process, starting from the biochemical responses within the structure of neurons to the problem-solving steps through computational thinking skills are discussed. All chapters after the first two should be considered as the study of different technological and Artificial Intelligence giants of current age. These chapters are placed in a way that each chapter could be considered a separate study of a separate company, which includes the achievements of intelligent services currently provided by the company, discussion on the business model of the company towards the use of the deep learning technologies, the advancement of the web services which are incorporated with intelligent capability introduced by company, the efforts of the company in contributing to the development of the artificial intelligence and deep learning research. KEY FEATURES Real-world success and failure stories of artificial intelligence explained Understand concepts of artificial intelligence and deep learning methodsÊ Learn how to use artificial intelligence and deep learning methods Know how to prepare dataset and implement models using industry leading Python packagesÊ YouÕll be able to apply and analyze the results produced by the models for prediction WHAT WILL YOU LEARN How to use the algorithms written in the Python programming language to design models and perform predictions in general datasets Understand use cases in different industries related to the implementation of artificial intelligence and deep learning methods Learn the use of potential ideas in artificial intelligence and deep learning methods to improve the operational processes or new products and how services can be produced based on the methods WHO THIS BOOK IS FORÊ This book is targeted to business and organization leaders, technology enthusiasts, professionals, and managers who seek knowledge of artificial intelligence and deep learning methods. Table of Contents Artificial Intelligence and Deep Learning Data Science for Business Analysis Decision Making Intelligent Computing Strategies By GoogleÊ Cognitive Learning Services in IBM Watson Advancement web services by BaiduÊ Improved Social Business by Facebook Personalized Intelligent Computing by Apple Cloud Computing Intelligent by Microsoft

The History Of Cryptography A Simple Guide To Big Ideas

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Author : Nova Martian
language : en
Publisher: Walzone Press
Release Date : 2025-05-29

The History Of Cryptography A Simple Guide To Big Ideas written by Nova Martian and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Computers categories.

Delve into the intriguing world of secret codes, hidden messages, and the ongoing quest to protect information with "The History of Cryptography: A Simple Guide to Big Ideas." Designed for curious minds and enthusiastic learners alike, this accessible guide unravels the fundamentals of cryptography from its ancient roots to its profound influence on our modern digital world. With clarity and engaging storytelling, the book demystifies core concepts—such as encryption, decryption, ciphers, and the critical difference between codes and cryptographic systems—while also exploring the colorful glossary of terms and the persistent cat-and-mouse game between code makers and codebreakers. Journey through time to discover how cryptography has shaped societies, wars, and revolutions. From the earliest ciphers of Egyptian, Greek, and Roman civilizations to the sophisticated breakthroughs of the Renaissance and the intelligence triumphs of World Wars I and II, each chapter vividly illustrates the pivotal moments when secret communication changed the course of history. The narrative highlights the famous Enigma machine, the vital efforts of Allied codebreakers, and celebrates the often-overlooked contributions of women and unsung heroes who helped lay the foundations for modern computing. As the story moves into the digital era, readers gain insight into the emergence of public key cryptography, the rise of digital signatures and online security, and the critical role encryption plays in everyday life—from ATM transactions to smartphone messaging. Thoughtfully addressing contemporary debates about privacy, government access, cybercrime, and the oncoming wave of quantum computing, this book equips readers with a nuanced understanding of both the challenges and promise that cryptography holds for the future. Complete with portraits of key figures and practical guides for further study, "The History of Cryptography" is an indispensable introduction for anyone seeking to understand how the invisible art of encryption shapes our connected world.