“…You’ll learn how to: •Parse ELF and PE binaries and build a binary loader with libbfd •Use data-flow analysis techniques like program tracing, slicing, and reaching definitions analysis to reason about runtime flow of your programs •Modify ELF binaries with techniques like parasitic code injection and hex editing •Build custom disassembly tools with Capstone •Use binary instrumentation to circumvent anti-analysis tricks commonly used by malware •Apply taint analysis to detect control hijacking and data leak attacks •Use symbolic execution to build automatic exploitation tools With exercises at the end of each chapter to help solidify your skills, you’ll go from understanding basic assembly to performing some of the most sophisticated binary analysis and instrumentation. …”

“…In the past he has worked in the healthcare industry, bioinformatics research, high-performance computing, and as a web consultant. When he is not sitting in front of a computer he enjoys playing the guitar. …”

“…Practical tips on skyrocketing individual performance. The secret to creating the most loyal followers on the planet! …”

“…What you will learn Implement credit card fraud detection with autoencoders Train neural networks to perform handwritten digit recognition using MXNet Reconstruct images using variational autoencoders Explore the applications of autoencoder neural networks in clustering and dimensionality reduction Create natural language processing (NLP) models using Keras and TensorFlow in R Prevent models from overfitting the data to improve generalizability Build shallow neural network prediction models Who this book is for This Learning Path is for aspiring data scientists, data analysts, machine learning developers, and deep learning enthusiasts who are well versed in machine learning concepts and are looking to explore the deep learning paradigm using R. …”

“…By the end of this Learning Path, you'll be able to implement Rust for enterprise projects, writing better tests and documentation, designing for performance, and creating idiomatic Rust code. This Learning Path includes content from the following Packt products: Mastering Rust - Second Edition by Rahul Sharma and Vesa Kaihlavirta Hands-On Data Structures and Algorithms with Rust by Claus Matzinger What you will learn Design and implement complex data structures in Rust Create and use well-tested and reusable components with Rust Understand the basics of multithreaded programming and advanced algorithm design Explore application profiling based on benchmarking and testing Study and apply best practices and strategies in error handling Create efficient web applications with the Actix-web framework Use Diesel for type-safe database interactions in your web application Who this book is for If you are already familiar with an imperative language and now want to progress from being a beginner to an intermediate-level Rust programmer, this Learning Path is for you. …”

“…What You Will Learn Instrument Deep Learning models with packages such as deepnet, MXNetR, Tensorflow, H2O, Keras, and text2vec Apply neural networks to perform handwritten digit recognition using MXNet Get the knack of CNN models, Neural Network API, Keras, and TensorFlow for traffic sign classification Implement credit card fraud detection with Autoencoders Master reconstructing images using variational autoencoders Wade through sentiment analysis from movie reviews Run from past to future and vice versa with bidirectional Long Short-Term Memory (LSTM) networks Understand the applications of Autoencoder Neural Networks in clustering and dimensionality reduction In Detail R is a popular programming language used by statisticians and mathematicians for statistical analysis, and is popularly used for deep learning. …”

“…You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security followed by Azure and AWS Cloud networking. …”

“…What you will learn Understand the important concepts in machine learning and data science Use Python to explore the world of data mining and analytics Scale up model training using varied data complexities with Apache Spark Delve deep into text and NLP using Python libraries such NLTK and gensim Select and build an ML model and evaluate and optimize its performance Implement ML algorithms from scratch in Python, TensorFlow, and scikit-learn Who this book is for If you're a machine learning aspirant, data analyst, or data engineer highly passionate about machine learning and want to begin working on ML assignments, this book is for you. …”

“…You're struggling to overcome differences and pull together to achieve high performance at work. Whether you're leading a diverse team, working in a challenging cross-cultural environment, or simply working with people who are 'not like you,' you need to be able to get along with everyone as a team, to get the work done. …”

“…This IBM Redbooks® publication, Volume 8, shows you how to: - Adopt a systematic and thorough approach to dealing with problems and identifying the different types of problems - Determine where to look for diagnostic information and how to obtain it - Interpret and analyze the diagnostic data collected - Escalate problems to the IBM Support Center when necessary - Collect and analyze diagnostic data—a dynamic and complex process - Identify and document problems, collect and analyze pertinent diagnostic data and obtain help as needed, to speed you on your way to problem resolution The content of the volumes is as follows Volume 1: Introduction to z/OS and storage concepts, TSO/E, ISPF, JCL, SDSF, and z/OS delivery and installation Volume 2: z/OS implementation and daily maintenance, defining subsystems, JES2 and JES3, LPA, LNKLST, authorized libraries, SMP/E, Language Environment® Volume 3: Introduction to DFSMS, data set basics storage management hardware and software, catalogs, and DFSMStvs Volume 4: Communication Server, TCP/IP, and VTAM® Volume 5: Base and Parallel Sysplex® , System Logger, Resource Recovery Services (RRS), global resource serialization (GRS), z/OS system operations, automatic restart management (ARM), Geographically Dispersed Parallel SysplexTM (GDPS® ) Volume 6: Introduction to security, RACF, Digital certificates and PKI, Kerberos, cryptography and z990 integrated cryptography, zSeries® firewall technologies, LDAP, and Enterprise identity mapping (EIM) Volume 7: Printing in a z/OS environment, Infoprint® Server and Infoprint Central Volume 8: An introduction to z/OS problem diagnosis Volume 9: z/OS UNIX System Services Volume 10: Introduction to z/ArchitectureTM , zSeries processor design, zSeries connectivity, LPAR concepts, HCD, and HMC Volume 11: Capacity planning, performance management, WLM, RMFTM , and SMF…”

“…You’ll learn how to measure your supply chain’s performance, make it more agile and sustainable, and focus it on what matters most: adding customer value. …”

“…Oracle SOA Suite 12c Administrator's Guide covers all the core areas of administration needed for you to effectively manage and monitor the Oracle SOA Suite environment and its transactions, from deployments, to monitoring, to performance tuning, and much, much more. Manage, monitor, and troubleshoot SOA composites and OSB services from a single product set. …”

“…and polish, and help build the atmosphere In Detail LibGDX is a Java-based framework developed with a heavy emphasis on performance, and includes cross-platform support out of the box (Windows, OS X, Linux, iOS, Android, and HTML5) as well as providing all the low-level functionality so that you can focus on developing your game and not battling with the platform. …”

“…What You Will Learn Compile programs with DMD and manage projects with DUB Work efficiently by binding your D programs with new and existing C libraries Generate code at compile-time to enhance runtime performance Implement complex templates for more powerful generic code Write idiomatic D with range-based functional pipelines Use the DUB repository to find a link with a variety of D libraries Implement a web-app in D from the ground up In Detail D is a modern programming language that is both powerful and efficient. …”

“…From a mobile device to a sophisticated high-performance computing cluster, OpenGL libraries provide developers with an easy-to-use interface to create stunning visuals in 3D in real time for a wide range of interactive applications. …”

“…Style and approach This is an easy-to-follow practical guide packed with graspable recipes that cover important tasks to be performed while developing multi-touch applications with Kivy. …”

“…What You Will Learn Build a multi-view, orientation-aware Android application with navigation Lay out content using the LinearLayout, RelativeLayout, and TableLayout layout managers Use a ListView (AdapterView) and Adapter to build a view that is populated from server data Consume REST web service to perform GET, UPDATE, DELETE operation Use Android SQLite for data persistence and caching Capture the current location of a device, determine the street address, and integrate with the map app Test, debug, and deploy an Android app In Detail Technology trends come and go, but few have generated the excitement, momentum, or long-term impact that mobile computing has. …”

“…At Clear Measure, Jeffrey manages the software engineering practice, which includes new system development, legacy system upgrades, performance/scalability improvements, and system rescues. …”

“…—SHARON BOWMAN, international trainer and author of Training from the Back of the Room “Kate Ward presents a simple, useful model for looking at how personality style affects performance. A great fi nd for anyone interested in improving their everyday interactions.” …”

“…He is also the video author of several LiveLessons including Oracle SQL Performance Tuning for Developers LiveLessons and Oracle PL/SQL Programming: Fundamentals to Advanced LiveLessons . …”