Hacking A.I: big and complete guide to hacking, security, AI and big data

Ever found yourself being fascinated by the idea of being able to hack into any system? While modern culture has pushed hacking to a screen-based villainous role that can do miracles, there is much more to hacking that remains untold. Hardly anyone feels it necessary to mention how hacking can be an illustrious career option. Similarly, the ease with which cyberattacks can be diverted often remains untold. Luckily for you, we're here to tell you all about it in a quick and simple guide that should let you enter the mind of a hacker. Never let yourself be at risk again! In this book, we will explore:-The different types of hackers and their purposes-How hacking works-The various steps in a hacking attack-Why networking and scripting so important in hacking-The different tools that are used in hacking-The different techniques hackers use to get to your data-How to keep yourself safe from cyber-attacks-The ins and outs of cybersecurity and how it aims to keep you safe-How your data is protected from hackers-How to ensure that your cybersecurity is adequateAnd much much more! So pull up your socks (or gloves if you prefer leaving no fingerprints behind) and get ready to explore the wondrous world of these cyber-geniuses through easy-to-read text and compelling descriptions that will immerse you within the world of scripts and codes. Learning about hacking has never been easier! Introduction 12 Chapter One: An Introduction to Computer Systems and Networking 14 Chapter Two: Inside the Computer Systems and Networking Concept 24 Chapter Three: Computer Systems Network and Security 32 Chapter Four: Computer System Network: Setting Up Your Own 38 Chapter Five: IP And Subnetting Explained 44 Chapter Six: Applying the Concepts of Computer Systems Network 50 Chapter Seven: Outside the Network Numbers: What Still Matters 58 Conclusion 64 Resources: 66 Introduction 70 Chapter 1: Black Hat Hacking 74 Chapter 2: White Hat Hacking 77 Chapter 3: Grey Hat Hacking 80 Chapter 4: Networks 84 Chapter 5: Scripting and Other Tools 87 Chapter 6: The Different Types of Hacking and How they Work 89 Chapter 7: How to Protect yourself from Hacking 97 Chapter 8: Cybersecurity and How it Saves you from being Hacked 107 Conclusion 118 Artificial Intelligence 119 And Life 119 Introduction 120 Chapter One: Foundations of AI 122 Philosophy and Logic 123 From Life Itself 126 Psychology and Cognitive Science 127 Statistics and Probability 129 From Computer Engineering 131 Chapter Two: What is AI? 132 The Turing Test Approach: Acting Humanly 133 The Cognitive Modeling approach: Thinking humanly 134 The Laws of Thought Approach: Thinking Rationally 135 The Rational Agent Approach: Acting Rationally 136 Chapter Three: Basic Concepts in AI 137 Data 137 Information 138 Knowledge 139 Intelligence 140 Artificial Intelligence 141 Classifications 142 Association 143 Decision Trees 144 Deep Learning 145 Chapter Four: How Machines Learn 146 Forms of Learning 147 Components to be Improved 148 Representation and Prior Knowledge 149 Feedback to Learn From 150 Unsupervised Learning 150 Reinforcement Learning 150 Supervised Learning 150 Semi-supervised Learning 150 Chapter Five: Machine Learning 152 Memory-Based Learning 153 Case-Based Reasoning 155 Decision Trees 156 Data Mining and Decision Trees 157 EPAM 159 CLS 160 ID3 161 C4.5, CART and Successors 162 Inductive Logic Programming 163 Neural Networks 164 Input layer 164 Output layer 164 Hidden layer 164 Unsupervised Learning 165 Reinforcement Learning 167 Chapter Six: Big data 171 Essentials of Big Data 172 Sources of Big Data 174 Public sources 174 Private sources 174 Building new data from existing data 175 Using existing data sources 175 Statistics and Machine Learning 176 Role of Algorithms 177 Strategies for Algorithms 178 Symbolic Reasoning 178 Brain Modeling 178 Evolutionary Modeling 178 Bayesian Inference 179 Training Data Sets 180 Representation 180 Evaluation 180 Optimization 181 Chapter Seven: Modern AI 182 Games 183 Chess 183 Checkers 183 AI at Home 185 Advanced Driver Assistance Systems 186 Route Finding Maps 187 Recommendation Systems 188 In Medicine 189 For Scheduling 190 For Automated Trading 191 In Business Practices 192 In Translating Languages 193 For Facial Recognition 194 Conclusion 195 Sources 197 Introduction 199 Chapter One: Big Data and Data Science 200 History of Data Science 202 Definition of Data Science 203 Who is a Data Scientist? 204 How Data Scientists Increase the Worth of a Business 206 The Technique of Data Science 208 Impacts of Data Science 209 Importance of Data Science 210 Programming Languages Every Data Scientist Should Know 211 Python 211 R Language 211 Java 212 Scala 212 SQL 212 Julia 213 Matlab 213 The Data Science Process 214 The Future of Data Science as a Carrier Choice 217 Chapter Two: Cyber Security 219 Introduction 220 Most Common Cybersecurity Threats 222 ● Trojan horses 222 ● Man in the Middle attacks 225 Impacts of Cyber Attacks on Business 227 The financial cost of cyber-attack 227 Reputational Impact of a Cyber-Attack 227 Legitimate Impact of a Cyber-Attack 227 Psychological Impact of Cyber-Attack 227 Physical Impact of a Cyber-Attack 228 Social Impact of a Cyber-Attack 228 How can Cyber-Attacks be Reduced? 229 Creating responsiveness of cyber-security within an organization 229 Investing in cyber safety and cyber-security backup 230 Keeping up to date with all of the safety arrangements and testing the security measures regularly 230 Chapter Three: Cyber Technology 231 Features that Must be Present in a Cyber Technology Platform 234 Best Cybersecurity Practices for Businesses 236 The Future of Cyber Security 243 How AI (Artificial Intelligence) will shape the future of Cyber Security Methodologies 244 Chapter Four: Analytics and Metrics for Big Data 246 Analytics and Metrics of Big Data and Data Science 247 Cybersecurity Analytics and Metrics 249 Conclusion 255 Bibliography 258