Use coupon code ALMOSTFREE and get FLAT 95% discount Learn how to organize your data with the popular Neo4j graph database in this Neo4J database tutorial!! Search engines and social media platforms have propelled graph databases into the lime light. While traditional relational databases are still popular among many companies, graph databases are slowly climbing the ranks as a go to database for many complex structures. Databases play an important role when it comes to storing and fetching large amounts of data. Data is often a huge mess on the internet, which needs to be meticulously sorted into sections and sub-sections to make it easier for analyzing. Data is in raw form is useless for individuals and companies alike, until it is sorted and provides the user with information or it can specifically answer the user's question.
If you run a website and would like to research keywords, there are some best practices that are recommended to help you find the best keyword phrases to use. In this article, we'll focus on the several research methods and provide hints on how to carry out effective keyword research. Keep in mind that getting ranked for a keyword phrase depends on how relevant the content is around the much sought-after phrase. Choosing the right keywords can easily get overwhelming in your quest to create the best SEO strategies. That is why we came up with this step by step guide that you can use to find the best keywords for your website.
Marcellino Ornelas had been in and out of juvenile hall seven times by the time he finally went to prison at the age of 19 for assault with a firearm. He'd already been kicked out of high school and was working, he says, as the "local drug dealer," with a side gig at a Ross department store. In the past, every time he got out, he'd start dealing soon after. "It was like, this is how I make money. This is who my friends are," Ornelas says.
This course centers around the technical steps you need to take to put your online assets (website, blog site, online store, etc.) in the best possible light in the eyes of search engines, more specifically Google and Bing-Yahoo. This course covers thing you absolutely must do to have even a shot at getting to page one of these search engines organically. I follow these lectures with additional guidance to help you construct and display your web page assets so that they not only pass scrutiny when being crawled by "Spiders" in the service of these search engines, but that they receive high-marks from these activities - which will hep you to place higher in the search engine rankings when organic searches are conducted by the public looking for online information. There are many "website designers" out there today completing sites using templates, widgets, etc. And the whole world is out there using similar keywords and keyword phrases trying to get found.
About this course: In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you've not coded before.
I know we all are sad after listening to the news, one of the biggest Torrent search engine Torrentz.eu is closed permanently merely leaving a small message below the search box claiming Torrentz was a free, fast and powerful meta-search engine combining results from dozens of search enginesBut what was the reason why one of the biggest Torrent search engines come to an end? TorrentFreak was the first to report of its shutdown. But so far nobody knows its actual reason for closure. According to some reports found on the deep web. After the closure of KickassTorrent, the best torrent site in the history and the owner's arrest and all his wealth was confiscated by the United State Government.
About this course: In this course you will be introduced to the basic ideas behind the qualitative research in social science. You will learn about data collection, description, analysis and interpretation in qualitative research. Qualitative research often involves an iterative process. We will focus on the ingredients required for this process: data collection and analysis. You won't learn how to use qualitative methods by just watching video's, so we put much stress on collecting data through observation and interviewing and on analysing and interpreting the collected data in other assignments.
About this course: Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people's opinions and preferences, in addition to many other kinds of knowledge that we encode in text. This course will cover search engine technologies, which play an important role in any data mining applications involving text data for two reasons. First, while the raw data may be large for any particular problem, it is often a relatively small subset of the data that are relevant, and a search engine is an essential tool for quickly discovering a small subset of relevant text data in a large text collection. Second, search engines are needed to help analysts interpret any patterns discovered in the data by allowing them to examine the relevant original text data to make sense of any discovered pattern.
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In this paper we identify roles and uses of web-based tutorials through an examination of tutorials’ comments sections. Through this analytical lens, we find that web tutorials serve a variety of needs, providing: in-task help for users with an immediate, specific goal to accomplish; a means for users to proactively expand their repertoire of skills ; and an opportunity for novices to shadow and experience an expert’s work practices . We also find a number of emergent practices in tutorial comments. Users post “help-me” stack traces, a type of comment useful for debugging tutorial content; use comments sections as opportunistic support forums ; and turn to comments sections for social and technical validation of their personal skill sets. Collectively, these findings enrich existing perspectives on web-based tutorials and argue for new mechanisms to support these various use cases.