This introduction to OSI fundamentals provides extensive coverage of the services and protocols at each layer, with an emphasis on the upper layers. Experts Jain and Agrawala offer a mix of fundamentals and theory for network managers and designers and all data communication professionals who need a complete, detailed understanding of OSI. The book discusses the OSI architecture and its various applications, including how to define the service provided by a given layer; specifying a protocol that realizes a given service; protocols for the physical layer through the network layer; the complex protocols used at the transport layer; the problem of information representation and its solution; commonly used application services; major issues concerning implementation of OSI-based networks; and much more.

C is the most widely used programming language of all time. It has been used to create almost every category of software imaginable and the list keeps growing every day. Cutting-edge applications, such as Arduino, embeddable and wearable computing are ready-made for C.  

Advanced Topics In C teaches concepts that any budding programmer should know. You'll delve into topics such as sorting, searching, merging, recursion, random numbers and simulation, among others. You will increase the range of problems you can solve when you learn how to manipulate versatile and popular data structures such as binary trees and hash tables.  

This book assumes you have a working knowledge of basic programming concepts such as variables, constants, assignment, selection (if..else) and looping (while, for). It also assumes you are comfortable with writing functions and working with arrays.  If you study this book carefully and do the exercises conscientiously, you would become a better and more agile programmer, more prepared to code today's applications  (such as the Internet of Things) in C. What you’ll learn What are and how to use structures, pointers, and linked listsHow to manipulate and use stacks and queuesHow to use random numbers to program games, and simulationsHow to work with files, binary trees, and hash tablesSophisticated sorting methods such as heapsort, quicksort, and mergesortHow to implement all of the above using CWho this book is for

Those with a working knowledge of basic programming concepts, such as variables, constants, assignment, selection (if..else) and looping (while, for). It also assumes you are comfortable with writing functions and working with arrays. Table of Contents 1. Sorting, Searching and Merging

2. Structures

3. Pointers

4. Linked Lists

5. Stacks and Queries

6. Recursion

7. Random Numbers, Games and Simulation

8. Working with Files

9. Introduction to Binary Trees

10. Advanced Sorting

11. Hash Tables

In Detail

With the increasing prominence in machine learning and data science applications, probabilistic graphical models are a new tool that machine learning users can use to discover and analyze structures in complex problems. The variety of tools and algorithms under the PGM framework extend to many domains such as natural language processing, speech processing, image processing, and disease diagnosis.

You've probably heard of graphical models before, and you're keen to try out new landscapes in the machine learning area. This book gives you enough background information to get started on graphical models, while keeping the math to a minimum. Approach

This is a short, practical guide that allows data scientists to understand the concepts of Graphical models and enables them to try them out using small Python code snippets, without being too mathematically complicated. Who this book is for

If you are a data scientist who knows about machine learning and want to enhance your knowledge of graphical models, such as Bayes network, in order to use them to solve real-world problems using Python libraries, this book is for you.This book is intended for those who have some Python and machine learning experience, or are exploring the machine learning field.

In Flow Design for Embedded Systems, the author has created a unified object-oriented methodology that can be applied to any microprocessor and language. Two tools are included: a GUI CASE tool for Windows 3.x/9X combining design, system specification, coding, and implementation; and TERSE, an interrupt-driven OS for building designs.

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book.  
With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage.
What You'll LearnUse MATLAB for deep learning
Discover neural networks and multi-layer neural networks
Work with convolution and pooling layers
Build a MNIST example with these layers
Who This Book Is For

Those who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.

The first edition of C Programming: A Modern Approach was popular with students and faculty alike because of its clarity and comprehensiveness as well as its trademark Q&A sections. Professor King's spiral approach made it accessible to a broad range of readers, from beginners to more advanced students. With adoptions at over 225 colleges, the first edition was one of the leading C textbooks of the last ten years.

The second edition maintains all the book's popular features and brings it up to date with coverage of the C99 standard. The new edition also adds a significant number of exercises and longer programming projects, and includes extensive revisions and updates.

Highlights of the second edition include:
• Complete coverage of both the C89 standard and the C99 standard, with all C99 changes clearly marked
• A quick reference to all C89 and C99 library functions
• Expanded coverage of GCC
• New coverage of abstract data types
• Updates to reflect today's CPUs and operating systems
• Nearly 500 exercises and programming projects-sixty percent more than in the first edition
• Source code and solutions to selected exercises and programming projects
• A password-protected instructor site containing solutions to the remaining exercises and projects, plus PowerPoint presentations for most chapters

Was Sie wissen mussen von Abbildungsmatrix bis Zylinderkoordinaten Ganz egal, was Sie machen wollen, in der Mathematik fuhrt ab einem gewissen Niveau kein Weg an der Vektorund Matrizenrechnung vorbei. Karsten Kirchgessner und Marco Schreck fuhren Sie in dieses Thema ein. Sie erklaren Ihnen, was Vektoren und Matrizen uberhaupt sind und wie Sie moglichst unkompliziert mit ihnen rechnen. Ausserdem erfahren Sie, was Sie uber Eigenwerte und Eigenvektoren wissen sollten, wie Sie lineare Gleichungssysteme losen und vieles mehr. So lernen Sie pfeilschnell, in diese Tiefen der Mathematik einzudringen. Besonderer Wert wird hierbei auf geschickte Ansatze und Tricks gelegt, die den Rechenaufwand und Komplexitatsgrad einer Aufgabenstellung reduzieren, sodass Sie insbesondere in Prufungen so schnell wie moglich zur korrekten Losung gelangen.

Take Control of Dropbox: Learn the best ways to sync, link, and share your files!

Updated February 11, 2015

Because Dropbox is so simple to use for basic file syncing, it's easy to forget that you can do far more with it than just sync files between two computers. If that's all you're doing, you're missing out!

In this concise ebook, Joe Kissell takes you beyond the basics, sharing best practices for using Dropbox on your own or with a group, explaining common mistakes and irreversible settings, describing how to manage mobile devices and Dropbox-savvy apps, and turning you on to unusual uses of Dropbox.

Teach This Book! A powerful aspect of Dropbox is sharing files with friends and colleagues, which may make you want to help them use it. To that end, Take Control of Dropbox includes links to a downloadable one-page PDF handout and to an 18-slide PDF presentation that you can show on any computer or mobile device screen.

Other useful advice in Take Control of Dropbox includes how to:

Recover an accidentally deleted or revised file. You'll find help with a few non-obvious controls and a discussion of the optional Extended Version History for Dropbox Pro users (formerly called Packrat).

Work with photos and videos in your Dropbox folder, and learn how to share collections of photos with Dropbox's photo album feature.

Use Dropbox to store and automatically sync data used by Dropbox-savvy apps on all of your devices, whether they're running Mac OS X, iOS, Android, Windows, or Linux. You'll get a better idea of what's going on behind the scenes and how to manage app authorizations.

Check a few important account-related details to make sure you're set up optimally. These include security settings and methods of getting more storage space.

Joe also shares examples of interesting Internet services that can interact with files that you put in your Dropbox folder to publish a blog, automate Web activities, automate your Mac, sync with other cloud services, and even publish a book like this one!