Lyt når som helst, hvor som helst

Nyd den ubegrænsede adgang til tusindvis af spændende e- og lydbøger - helt gratis

  • Lyt og læs så meget du har lyst til
  • Opdag et kæmpe bibliotek fyldt med fortællinger
  • Eksklusive titler + Mofibo Originals
  • Opsig når som helst
Start tilbuddet
DK - Details page - Device banner - 894x1036

Hands-On Machine Learning for Cybersecurity: Safeguard your system by making your machines intelligent using the Python ecosystem

Sprog
Engelsk
Format
Kategori

Fakta

Get into the world of smart data security using machine learning algorithms and Python libraries

Key Features

• Learn machine learning algorithms and cybersecurity fundamentals

• Automate your daily workflow by applying use cases to many facets of security

• Implement smart machine learning solutions to detect various cybersecurity problems

Book Description

Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain.

The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not.

Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems

What you will learn

• Use machine learning algorithms with complex datasets to implement cybersecurity concepts

• Implement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problems

• Learn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDA

• Understand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimes

• Use TensorFlow in the cybersecurity domain and implement real-world examples

• Learn how machine learning and Python can be used in complex cyber issues

Who this book is for

This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book

© 2018 Packt Publishing (E-bog): 9781788990967

Release date

E-bog: 31. december 2018

Andre kan også lide...

  1. Vector Search for Practitioners with Elastic: A toolkit for building NLP solutions for search, observability, and security using vector search Bahaaldine Azarmi
  2. Mastering Machine Learning for Penetration Testing: Develop an extensive skill set to break self-learning systems using Python Chiheb Chebbi
  3. Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning Margaux Masson-Forsythe
  4. Deep Learning with Theano Christopher Bourez
  5. Natural Language Processing with Python Quick Start Guide: Going from a Python developer to an effective Natural Language Processing Engineer Nirant Kasliwal
  6. Infrastructure Attack Strategies for Ethical Hacking Himanshu Sharma
  7. Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods Ben Auffarth
  8. Mastering NLP from Foundations to LLMs: Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python Lior Gazit
  9. Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow Sudharsan Ravichandiran
  10. Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques Meysam Asgari- Chenaghlu
  11. Practical Machine Learning on Databricks: Seamlessly transition ML models and MLOps on Databricks Debu Sinha
  12. Introduction to Machine Learning with Python Deepti Chopra
  13. Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python Stefan Jansen
  14. Thoughtful Data Science: A Programmer’s Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust David Taieb
  15. Natural Language Processing: Python and NLTK Jacob Perkins
  16. Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data Jonas Christensen
  17. Hands-On Automated Machine Learning: A beginner's guide to building automated machine learning systems using AutoML and Python Sibanjan Das
  18. Learn OpenAI Whisper: Transform your understanding of GenAI through robust and accurate speech processing solutions Josué R. Batista
  19. The Complete Metasploit Guide: Explore effective penetration testing techniques with Metasploit Nipun Jaswal
  20. Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python Tyler Richards
  21. Hands-On Blockchain for Python Developers: Gain blockchain programming skills to build decentralized applications using Python Arjuna Sky Kok
  22. A Guide to Python Mastery: Python Ummed Singh
  23. Mastering Python for Networking and Security: Leverage the scripts and libraries of Python version 3.7 and beyond to overcome networking and security issues José Manuel Ortega
  24. Machine Learning for Emotion Analysis in Python: Build AI-powered tools for analyzing emotion using natural language processing and machine learning Allan Ramsay
  25. Fuzzing Against the Machine: Automate vulnerability research with emulated IoT devices on QEMU Antonio Nappa
  26. Mastering Python Networking: Utilize Python packages and frameworks for network automation, monitoring, cloud, and management Eric Chou
  27. Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA Dr. Brian Tuomanen
  28. Python Machine Learning Blueprints: Intuitive data projects you can relate to Alexander T. Combs
  29. Cloud Native Python: Build and deploy resilent applications on the cloud using microservices, AWS, Azure and more Manish Sethi
  30. Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition Joseph Howse
  31. Common Windows, Linux and Web Server Systems Hacking Techniques Dr. Hidaia Mahmood Alassouli
  32. Practical Guide to Azure Cognitive Services: Leverage the power of Azure OpenAI to optimize operations, reduce costs, and deliver cutting-edge AI solutions Andy Roberts
  33. Internet of Things Programming Projects: Build exciting IoT projects using Raspberry Pi 5, Raspberry Pi Pico, and Python Colin Dow
  34. Bayesian Analysis with Python.: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ Osvaldo Martin
  35. BeagleBone By Example Jayakarthigeyan Prabakar
  36. Some Examples Related to Ethical Computer Networking Hacking Dr. Hedaya Alasooly
  37. Hands-On Data Structures and Algorithms with Python – Third Edition: Store, manipulate, and access data effectively and boost the performance of your applications Dr. Basant Agarwal
  38. Being Seen: Master Parenting in The Digital Age Prof. Selena Bartlett
  39. Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries Dusty Phillips
  40. Smart-Wiring Your Baby's Brain: What You Can Do to Stimulate Your Child During the Critical First Three Years Winifred Conkling
  41. The Meaning of Infancy: Exploring the Depths of Early Childhood: A Comprehensive Look at Infancy and Development John Fiske
  42. Network Programming and Automation Essentials: Get started in the realm of network automation using Python and Go Claus Töpke

Vælg dit abonnement

  • Over 600.000 titler

  • Download og nyd titler offline

  • Eksklusive titler + Mofibo Originals

  • Børnevenligt miljø (Kids Mode)

  • Det er nemt at opsige når som helst

Flex

For dig som vil prøve Mofibo.

89 kr. /måned
  • 1 konto

  • 20 timer/måned

  • Gem op til 100 ubrugte timer

  • Eksklusivt indhold hver uge

  • Fri lytning til podcasts

  • Ingen binding

Prøv gratis
Den mest populære

Premium

For dig som lytter og læser ofte.

129 kr. /måned
  • 1 konto

  • 100 timer/måned

  • Eksklusivt indhold hver uge

  • Fri lytning til podcasts

  • Ingen binding

Start tilbuddet

Unlimited

For dig som lytter og læser ubegrænset.

149 kr. /måned
  • 1 konto

  • Ubegrænset adgang

  • Eksklusivt indhold hver uge

  • Fri lytning til podcasts

  • Ingen binding

Start tilbuddet

Family

For dig som ønsker at dele historier med familien.

Fra 179 kr. /måned
  • 2-6 konti

  • 100 timer/måned pr. konto

  • Fri lytning til podcasts

  • Kun 39 kr. pr. ekstra konto

  • Ingen binding

2 konti

179 kr. /måned
Start tilbuddet