• Regeln für den Video-Bereich:

    In den Börsenbereich gehören nur Angebote die bereits den Allgemeinen Regeln entsprechen.

    Einteilung

    - Folgende Formate gehören in die angegeben Bereiche:
    - Filme: Encodierte Filme von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format DivX, XviD und x264.
    - DVD: Filme im Format DVD5, DVD9 und HD2DVD.
    - HD: Encodierte Filme mit der Auflösung 720p oder darüber von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format x264.
    - 3D: Encodierte Filme von BluRay, die in einem 3D Format vorliegen. Dies gilt auch für Dokus, Animation usw.
    - Serien: Cartoon/Zeichentrick, Anime, Tutorials, Dokumentationen, Konzerte/Musik, Sonstiges sind demnach in die entsprechenden Bereiche einzuordnen, auch wenn sie beispielsweise im High Definition-Format oder als DVD5/DVD9/HD2DVD vorliegen. Ausnahme 3D.
    - Bereich Englisch: Englische Releases gehören immer in diesen Bereich.
    - Bereich Talk: Der Bereich, in dem über die Releases diskutiert werden kann, darf, soll und erwünscht ist.


    Angebot/Beitrag erstellen

    - Ein Beitrag darf erst dann erstellt werden, wenn der Upload bei mindestens einem OCH komplett ist. Platzhalter sind untersagt.
    - Bei einem Scenerelease hat der Threadtitel ausschließlich aus dem originalen, unveränderten Releasenamen zu bestehen. Es dürfen keine Veränderungen wie z.B. Sterne, kleine Buchstaben o.ä. vorgenommen werden. Ausnahme Serienbörse:
    - Bei einem Sammelthread für eine Staffel entfällt aus dem Releasename natürlich der Name der Folge. Beispiel: Die Simpsons S21 German DVDRip XviD - ITG
    - Dementsprechend sind also u.a. verboten: Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist.

    Aufbau des Angebots und Threadtitel

    Der Titel nach folgendem Muster erstellt zu werden. <Name> [3D] [Staffel] [German] <Jahr> <Tonspur> [DL] [Auflösung] <Quelle> <Codec> - <Group>
    Beispiel: The Dark Knight German 2008 AC3 DVDRip XviD - iND
    Beispiel: The Dark Knight 2008 DTS DL BDRip x264 - iND
    Beispiel: The Dark Knight 2008 AC3 DL BDRip XviD - iND
    Beispiel: The Dark Knight German 2008 AC3 720p BluRay x264 iND
    Beispiel: The Dark Knight 2008 DTS DL 1080p BluRay x264 iND
    Beispiel: Die Simpsons S01 German AC3 DVDRip XviD iND
    Beispiel: Die Simpsons S20 German AC3 720p BluRay x264 iND
    Beispiel: Sword Art Online II Ger Sub 2014 AAC 1080p WEBRip x264 - peppermint
    Entsprechend sind also u.a. verboten: Sonderzeichen wie Klammern, Sterne, Ausrufezeichen, Unterstriche, Anführungszeichen / Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist
    Ausnahmen hiervon können in den Bereichen geregelt sein.

    Die Beiträge sollen wie folgt aufgebaut werden:
    Überschrift entspricht dem Threadtitel
    Cover
    kurze Inhaltsbeschreibung
    Format, Größe, Dauer sind gut lesbar für Downloader außerhalb des Spoilers zu vermerken
    Nfo sind immer Anzugeben und selbige immer im Spoiler in Textform.
    Sind keine Nfo vorhanden z.B. Eigenpublikationen, sind im Spoiler folgende Dateiinformationen zusätzlich anzugeben :
    Quelle
    Video (Auflösung und Bitrate)
    Ton (Sprache, Format und Bitrate der einzelnen Spuren)
    Untertitel (sofern vorhanden)
    Hosterangabe in Textform außerhalb eines Spoiler mit allen enthaltenen Hostern.
    Bei SD kann auf diese zusätzlichen Dateiinformationen verzichtet werden.

    Alle benötigten Passwörter sind, sofern vorhanden, in Textform im Angebot anzugeben.
    Spoiler im Spoiler mit Kommentaren :"Schon Bedankt?" sind unerwünscht.


    Releases

    - Sind Retail-Release verfügbar, sind alle anderen Variationen untersagt. Ausnahmen: Alle deutschen Retail-Release sind CUT, in diesem Fall sind dubbed UNCUT-Release zulässig.
    - Im Serien-Bereich gilt speziell: Wenn ein Retail vor Abschluss einer laufenden Staffel erscheint, darf diese Staffel noch zu Ende gebracht werden.62
    - Gleiche Releases sind unbedingt zusammenzufassen. Das bedeutet, es ist zwingend erforderlich, vor dem Erstellen eines Themas per Suchfunktion zu überprüfen, ob bereits ein Beitrag mit demselben Release besteht. Ist dies der Fall, ist der bereits vorhandene Beitrag zu verwenden.
    - P2P und Scene Releases dürfen nicht verändert oder gar unter einem iND Tag eingestellt werden.


    Support, Diskussionen und Suche

    - Supportanfragen sind entweder per PN oder im Bereich Talk zu stellen.
    - Diskussionen und Bewertungen sind im Talk Bereich zu führen. Fragen an die Uploader haben ausschließlich via PN zu erfolgen, und sind in den Angeboten untersagt.
    - Anfragen zu Upload-Wünschen sind nur im Bereich Suche Video erlaubt. Antworten dürfen nur auf Angebote von MyBoerse.bz verlinkt werden.


    Verbote

    - Untersagt sind mehrere Formate in einem einzigen Angebotsthread, wie beispielsweise das gleichzeitige Anbieten von DivX/XviD, 720p und 1080p in einem Thread. Pro Format, Release und Auflösung ist ein eigener Thread zu eröffnen.
    - Grundsätzlich ebenso verboten sind Dupes. Uploader haben sich an geeigneter Stelle darüber zu informieren, ob es sich bei einem Release um ein Dupe handelt.
    - Gefakte, nur teilweise lauffähige oder unvollständige Angebote sind untersagt. Dies gilt auch für eigene Publikationen, die augenscheinlich nicht selbst von z.B. einer DVD gerippt wurden. Laufende Serien, bei denen noch nicht alle Folgen verfügbar sind, dürfen erstellt und regelmäßig geupdatet werden.
    - Untersagt sind Angebote, welche nur und ausschließlich in einer anderen Sprache als deutsch oder englisch vorliegen. Ausnahmen sind VORHER mit den Moderatoren zu klären.


    Verstoß gegen die Regeln

    - Angebote oder Beiträge, die gegen die Forenregeln verstoßen, sind über den "Melden"-Button im Beitrag zu melden.
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.




Englische Tutorials


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Scraping Data From the Web
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 266 MB
Genre: eLearning | Language: English

Almost any information you want is available on the Internet. Web scraping is a key tool for data mining that information allowing for web page exploration and collection for a variety of reporting. The tools and techniques used in this course allow for data to be collected that would otherwise not be easily accessible without robotic assistance.

What you'll learn

An introduction to the Beautiful Soup Python package
How to scrape a web page with Beautiful Soup
An introduction to the Scrapy Python package
How to crawl a website with Scrapy
Web scraping considerations



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Six Sigma Green Belt Using Minitab
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 30 | 296 MB
Genre: eLearning | Language: English

six sigma methodology. six sigma green belt.statistical process control. gage r&r study. minitab training.

This is a beginner six six sigma yellow and green belt and minitab course, useful if you want a six sigma for dummies type experience.

We cover statistics for six sigma, six sigma process capability, statistical process control, process capability (including process capability calculation), and measurement system analysis and evaluation. We look at some msa studies you can conduct. We show you type 1 gage study, gage r&r study, and gage bias and linearity study. For statistical process control we will look at the XBar-R and how to choose the appropriate control chart. For the process capability section, the main lesson will have you looking at a comprehensive capability analysis.

While you learn six sigma methodology, you will also get minitab training. We will show you how to use minitab.

If you want a friendly, non-intimidating, and direct teaching style that lets you ease into six sigma methodology, while learning how to use Minitab, this course will be perfect for you.




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Managing in Difficult Times
MP4 | Video: 720p | Duration: 1:07:48 | English | Subtitles: VTT | 516.4 MB





Tough times separate great leaders from the rest. What do leaders do to manage effectively in difficult times? It's as much about what they do to prepare as it is about how they react. Jan Rutherford introduces to important tools for keeping you and your team focused, inspired, and effective during times of change or crisis. Learn how to build self-awareness, achieve clarity and focus, keep innovating despite volatility, and develop a committed team that is resilient in the face of change. He also shares innovative strategies to cut costs, and reframe challenges as opportunities for your team.



Topics include:



Building self-awareness
Staying focused
Adopting a growth mindset
Developing a committed team
Teaming instead of leading
Reducing costs
Turning adversity into opportunity

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Understanding Genetic Algorithms and Genetic Programming
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 15M | 431 MB
Genre: eLearning | Language: English

Artificial intelligence is everywhere these days. This course teaches you how to implement two types of AI using simple C#. You'll use concepts from biology to evolve solutions to complex problems like optimal subset selection and data ordering.

Certain problems can't be solved by brute force. Combinatorial problems that involve finding an optimal ordering or subset of data can be extremely challenging to solve if the number of items is too large since the time to test each possible solution can often be prohibitive. In this course, you'll learn how to write artificial intelligence code that uses concepts from biology (like evolution, genetic crossover, and mutation) so the software can evolve optimal solutions to complex problems. The code will be written in fairly simple C#, and no external libraries will be used, so you'll understand all of the details. First, you'll learn how to write a genetic algorithm, which is a technique to manipulate data. You'll learn about different ways to represent potential solutions, as well as techniques for evolving solutions over a number of generations. Different types of crossover and mutation will be discussed, as well as various factors related to evaluating each candidate solution's fitness, which influences which candidates are selected for reproduction. After looking at how genetic algorithms can be used to find optimal solutions for data, you'll learn about genetic programming, which uses similar concepts but evolves actual executable code, rather than simply manipulating data. Genetic programming is particularly well-suited to finding an expression that fits a set of training data. The results of this technique can be used for prediction, estimates, and the like. Finally, you'll discover how genetic programming can be used to perform many complex tasks - controlling processes and making decisions, in particular. The code that results can be quite complex, balancing many different competing factors and constraints. By the end of this course, you'll have a solid foundation to apply these concepts to your own programs.

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Deep Learning: Image Recognition
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 41M | 278 MB
Genre: eLearning | Language: English

Thanks to deep learning, image recognition systems have improved and are now used for everything from searching photo libraries to generating text-based descriptions of photographs. In this course, learn how to build a deep neural network that can recognize objects in photographs. Find out how to adjust state-of-the-art deep neural networks to recognize new objects, without the need to retrain the network. Explore cloud-based image recognition APIs that you can use as an alternative to building your own systems. Learn the steps involved to start building and deploying your own image recognition system.



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Java SE 8 New Features
MP4 | Video: 720p | Duration: 2:40:25 | English | Subtitles: VTT | 420.9 MB





Take a tour of the new features in Java SE 8, the platform designed to support faster and easier Java development. Learn about Project Lambda, a new syntax to support lambda expressions in Java code; the new Stream API for processing collections and managing parallel processing; the DateTime API for representing, managing and calculating date and time values; and Nashorn, a new engine to better support the use of JavaScript code with the Java Virtual Machine. Author David Gassner also covers some lesser-known features such as new methods for joining strings into lists.



Topics include:



Installing Java SE 8
Working with lambda expressions and method references
Traversing collections with streams
Calculating timespans with the new DateTime API
Running JavaScript from Java with Nashorn

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190+ Android Interview Questions
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 19 | 200 MB
Genre: eLearning | Language: English

The ultimate Q&A course everyone interested in Android needs to pass (Android 7.0)

Have you ever reached the moment, when on an Android developer interview they start asking you theoretical questions you can't answer? Have you wondered what theory stays behind the applications you create? Do you want all of the basic principles on one place, explained in a simple way? Then this course is for YOU! With more that 190 android interview questions, the 190+ Android Interview Questions course is first of its kind. The whole information is built is understandable way, waiting for you to take it now! Use it to examine yourselves, to build your confidence before an interview up, to get prepared for a test. It will be always handy when you need a reference to one or another theoretical concept. Tired of reading through hundreds of pages with documentation? The 190+ Android Interview Questions is there, designed for you! A junior developer? A job-seeker? A student? Do give it a try!





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How to Create a Wordpress Website for Absolute Beginners
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 29M | Lec: 16 | 95 MB
Genre: eLearning | Language: English

Learn to create make build your own custom website in less than 30 minutes with out coding!

Why Take This Course?

Learn To Create A WordPress Website in Less Than 1 Hour
The Website Will Be Fully Responsive (Mobile Friendly)
I have got 4+ Years experience of working with WordPress
Master wordpress
Using Most Up To Date Version of WordPress
I have got 4+ Years experience of working with WordPress
Learn form a Top Intsructor find out why!





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Scripting Essentials for DevOps
.MP4, AVC, 2000 kbps, 1920x1080 | English, AAC, 317 kbps, 2 Ch | 4 hrs 7 mins | 4.47 GB
Created by Eduonix Learning Solutions

Master scripting in Bash, Python, and Ruby in one single course

Master the art of scripting with these popular languages in this comprehensive beginner's course! The first thing any DevOps engineer learns is a scripting language to navigate through devices, software and servers. These are exceptionally powerful and are the basics of learning development. We will break down each language to help you master the fundamental concepts that the language is built on. The 3 languages that are covered are Bash, Python and Ruby. Bash is a scripting language commonly used for programming in Linux. Linux scripts are used for automating certain programming tasks. They can also be used to simplify complex tasks and also help solve real-world problems. While learning how to write scripts is easy, it is a little more difficult to write good and effective scripts. In this course, we focus on exactly that. We will show you how to write amazing scripts that can not only reduce repetitive tasks, but also can be integrated into your real-world projects. Python is another popular programming language that is commonly used for back-end development. An amazing feature of Python is that it allows you to do much more using fewer lines of codes.

This course focuses on helping you learn exactly how to get the most out of Python. Lastly, we will focus on Ruby. Ruby is a dynamic programming language that focuses on simplicity and productivity. It was designed to support multiple programming paradigms, including functional, object-oriented, and imperative. It is used for building apps and websites on Linux and UNIX. This includes writing basic scripts, important syntax rules, automating tasks using code snippets and even writing codes for building actual products. At the end of this course, you will have not only mastered three powerful programming languages, but you'll also be comfortable enough to actually start writing simple programs using these languages.

More Info


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GCP - Google Cloud Platform Concepts
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 21 | 309 MB
Genre: eLearning | Language: English

Google Cloud Platform GCP platform overview.

Google Cloud Platform - GCP is fastest growing pubic Cloud Platform Services in the world.

Updates : Added BigData and Machine Learning offerings from GCP.

Google is developer friendly and have provided almost all code example to Githut link -> github Slash GoogleCloudPlatform/

Google provide $300 credit to try/Learn GCP platform besides free tier , So you can even learn paid services which does not have free tier.

Note : This course has been created from Cloud Architect Certifications Course (- Paid version) to give you overall idea on Google Cloud Platform. So may find context mismatch.

Last year google has recorded 84% growth rate. Google in 2017 investing heavily in extending GCP services across the Globe.
Google has committed may more data centers to extend there reach.
GCP is already is prominent in Data Analytics, and Machine Learning offerings proven so many years and has added Storage, Compute platform , Database, Security and many more public cloud services for enterprises around world.
Google has private fiber optic cable around the world.. They have innovative data centers build to scale enterprise infrastructure and platform services requirements



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IT Help Desk Professional
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 21 | 276 MB
Genre: eLearning | Language: English

Get Hands-On Experience on Helpdesk Skills, Learn, Master & Troubleshoot All What It Takes To Get You a Job

Do you want to start your career in the IT world? Do you want to start building your IT career path from a solid ground? You are in the right place! Wondering why? Let's see

Because when you want to become an IT specialist, you have to start from the basics, you need to master computers & everything related to that, how they work, how to install operating systems like Windows on machines, how they communicate, how to manage them, and of course troubleshooting all that, that's from a hardware point of view, while taking into consideration the need to learn how users are managed through network, how you can manage users accounts permissions, passwords, access, all through Active Directory.

These are part of the stuff that we will discuss here in our course, we will discuss printers, networks, and some other important stuff, where we will guarantee that the information & examples provided here will maximize your learning experience to the max., so in the next time you are in an interview for a help desk position, you will be more confident about your technical background as you will have a solid understanding from applying what you will learn here.

The instructors' experiences sum up to more than 15 years in total in this field, so you will not get theoretical information, but a practical one!

We structured the course from the most basic knowledge required, Installing, and see how we can install Windows on a machine, as most operating systems follow the same steps, we will use Windows 10 as a standard, and once we complete installation, we will prepare the machine for the user.

The second section talks about networking, we will discuss DHCP & DNS, troubleshoot some network related issues, and master the most useful & needed commands in CMD that help you troubleshoot connectivity problems.

After that, we will move to discuss hardware, and mainly printers; types, terminologies, drivers' installation, and of course basic troubleshooting to see how you can solve some problems when they occur.

The forth section will be a quick but very important one, which covers Active Directory, how to manage users there, and settings folder permissions based on Active Directory users.

Next, we will see two tools and two websites that will help you a lot in doing some tasks faster, easier, and more professionally

The last section will be about hardware as well, the first hardware section was about printers, and this one will be about PC, we will we will uncover the PC from inside and see how it works, what parts are there, some troubleshooting basics that you must know, and we will also talk about hardware upgrade.

As more than 90% of the course contents are practical demonstration, and in order to maximize your learning experience outcomes, we highly encourage you to have a test PC in order to apply and practice everything we will see here.

Are you ready to get into this world? Do you want to land your next IT job? Here is your key for that, enroll now in this course, and let's begin the journey.




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Building Predictive Models with Machine Learning and Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 47M | 528 MB
Genre: eLearning | Language: English

Machine Learning is no longer the inaccessible domain it used to be. There are over 100,000 Python libraries you can download in one line of code!

This course will introduce you to tools with which you can build predictive models with Python, the core of a Data Scientist's toolkit. Through some really interesting examples, the course will take you through a variety of challenges: predicting the value of a house in Boston, the batting average of a baseball player, their survival chances had they been on the Titanic, or any other number of other interesting problems.

Once you master the content of the course, you can level-up your knowledge of the Python Data Analytics and Machine Learning stack by exploring these recommended libraries.

This course will guide you through the tools in the Python ecosystem that Data Scientists use to get results in a matter of hours - and with practice - in a matter of minutes. The best way to learn is through examples, and this course will guide you through all the steps needed to train and test your models by tackling several classifications and regression challenges.

By the end of the course, you will be able to take the Python Machine Learning toolkit we cover and apply it to your own projects to deploy models in just a few lines of code.

All the code and supporting files are available on GitHub at:

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