Packt Publishing

Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problemsKey FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity learning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production environmentBook DescriptionThis Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problemsThis Learning Path includes content from the following Packt products:Mastering Machine Learning Algorithms by Giuseppe BonaccorsoMastering TensorFlow 1.x by Armando FandangoDeep Learning for Computer Vision by Rajalingappaa ShanmugamaniWhat you will learnExplore how an ML model can be trained, optimized, and evaluatedWork with Autoencoders and Generative Adversarial NetworksExplore the most important Reinforcement Learning techniquesBuild end-to-end deep learning (CNN, RNN, and Autoencoders) modelsWho this book is forThis Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.

Palo Alto Networks' integrated platform makes it easy to manage network and cloud security along with endpoint protection and a wide range of security services.

This book is an end-to-end guide to configure firewalls and deploy them in your network infrastructure. You will see how to quickly set up, configure and understand the technology, and troubleshoot any issues that may occur. This book will serve as your go-to reference for everything from setting up to troubleshooting complex issues. You will learn your way around the web interface and command-line structure, understand how the technology works so you can confidently predict the expected behavior, and successfully troubleshoot any anomalies you may encounter. Finally, you will see how to deploy firewalls in a cloud environment, and special or unique considerations when setting them to protect resources.

By the end of this book, for your configuration setup you will instinctively know how to approach challenges, find the resources you need, and solve most issues efficiently.

ISO 27001 and ISO 27002 are globally recognized standards for information security management systems (ISMSs), providing a robust framework for information protection that can be adapted to all organization types and sizes. Organizations with significant exposure to information-security-related risks are increasingly choosing to implement an ISMS that complies with ISO 27001. This book will help you understand the process of getting your organization's information security management system certified by an accredited certification body.
The book begins by introducing you to the standards, and then takes you through different principles and terminologies. Once you completely understand these standards, you'll explore their execution, wherein you find out how to implement these standards in different sizes of organizations. The chapters also include case studies to enable you to understand how you can implement the standards in your organization. Finally, you'll get to grips with the auditing process, planning, techniques, and reporting and learn to audit for ISO 27001.
By the end of this book, you'll have gained a clear understanding of ISO 27001/27002 and be ready to successfully implement and audit for these standards.