This document provides an agenda for an HTML tutorial. It begins with an introduction to HTML that defines it as a markup language and describes HTML tags, page structure, and web browsers. It then discusses HTML versions and editors. The agenda is divided into parts that cover basic HTML tags, forms, and other specific tags. It provides examples and screenshots of how tags appear in browsers. The document serves as a guide for teaching HTML basics and tags through an organized tutorial structure.
This is a brief introduction about HTML5. You will learn that what is new in HTML5. I will tell what and when changes happened in HTML which Hyper Text markup language. Html is a language which is used to create web pages that we have seen on the internet. For website development and web hosting visit https://tekfold.com
This is a brief introduction about HTML5. You will learn that what is new in HTML5. I will tell what and when changes happened in HTML which Hyper Text markup language. Html is a language which is used to create web pages that we have seen on the internet. For website development and web hosting visit https://tekfold.com
you can learn about HTML easily by viewing this Presentation.
In this presentation i describe about HTML , structure of HTML, files formats (image , audio and video) in HTML and about how you can create your first HTML Web page easily.
Things you should know about Javascript ES5. A programming language that enables you to create dynamically updating content, control multimedia, animate images, and pretty much everything else
Learn HTML and CSS in few steps . Practice an hour daily for good results in 10 days.
Here I am mentioning basic elements , attributes and tags of HTML with styling them
you can learn about HTML easily by viewing this Presentation.
In this presentation i describe about HTML , structure of HTML, files formats (image , audio and video) in HTML and about how you can create your first HTML Web page easily.
Things you should know about Javascript ES5. A programming language that enables you to create dynamically updating content, control multimedia, animate images, and pretty much everything else
Learn HTML and CSS in few steps . Practice an hour daily for good results in 10 days.
Here I am mentioning basic elements , attributes and tags of HTML with styling them
Introduces the idea of "Just Enough Code" -- to add a 2- or 3-week module on Web coding into courses like editing, or design, or multimedia. There are 2 reasons to do this. One is to demystify how Web and mobile sites are made. The other is to open a door -- for (at least) some students -- to something they might really have an aptitude for, something they might really enjoy, if you just have a chance to explore it.
about this presentation:
1) this presentation was a quickie for non-tech employees, who wanted a basic understanding of html/css, as it related to a white-label SAAS product;
2) the back-end/front-end definitions relate to the specific application (it's inaccurate if node.js is in the picture)
With HTML you can create your own Web site.
This tutorial teaches you everything about HTML.
HTML is easy to learn - You will enjoy it.
==============
HTML Introduction
HTML Basics
HTML Elements
Seo is referred as Search Engine Optimization. It has basically four modules Search engine optimization (SEO), Social Media Optimization (SMO), Search Engine Marketing (SEM) and PPC.
We at SKY INFOTECH have a team of professionals dedicated towards SEO and we are also proving LIVE PROJECT TRAINING in SEO and PPC.
This PDF is all about Basic HTML meta tags which are mostly used in SEO on-page practices. These slides will really help students who really want to know about SEO. We provide SEO training in Noida at affordable price. For more information, visit the website.
Lecture 4: How it Works: Convolutional Neural NetworksMohamed Loey
We will discuss the following: Filtering, Convolution, Convolution layer, Normalization, Rectified Linear Units, Pooling, Pooling layer, ReLU layer, Deep stacking, Fully connected layer.
We will discuss the following: Deep vs Machine Learning, Superstar Researchers, Superstar Companies, Deep Learning, Deep Learning Requirements, Deep Learning Architectures, Convolution Neural Network, Case studies, LeNet,AlexNet, ZFNet, GoogLeNet, VGGNet, ResNet, ILSVRC, MNIST, CIFAR-10, CNN Optimization , NVIDIA TITAN X.
We will discuss the following: Artificial Neural Network, Perceptron Learning Example, Artificial Neural Network Training Process, Forward propagation, Backpropagation, Classification of Handwritten Digits, Neural Network Zoo.
Design of an Intelligent System for Improving Classification of Cancer DiseasesMohamed Loey
The methodologies that depend on gene expression profile have been able to detect cancer since its inception. The previous works have spent great efforts to reach the best results. Some researchers have achieved excellent results in the classification process of cancer based on the gene expression profile using different gene selection approaches and different classifiers
Early detection of cancer increases the probability of recovery. This thesis presents an intelligent decision support system (IDSS) for early diagnosis of cancer-based on the microarray of gene expression profiles. The problem of this dataset is the little number of examples (not exceed hundreds) comparing to a large number of genes (in thousands). So, it became necessary to find out a method for reducing the features (genes) that are not relevant to the investigated disease to avoid overfitting. The proposed methodology used information gain (IG) for selecting the most important features from the input patterns. Then, the selected features (genes) are reduced by applying the Gray Wolf Optimization algorithm (GWO). Finally, the methodology exercises support vector machine (SVM) for cancer type classification. The proposed methodology was applied to three data sets (breast, colon, and CNS) and was evaluated by the classification accuracy performance measurement, which is most important in the diagnosis of diseases. The best results were gotten when integrating IG with GWO and SVM rating accuracy improved to 96.67% and the number of features was reduced to 32 feature of the CNS dataset.
This thesis investigates several classification algorithms and their suitability to the biological domain. For applications that suffer from high dimensionality, different feature selection methods are considered for illustration and analysis. Moreover, an effective system is proposed. In addition, Experiments were conducted on three benchmark gene expression datasets. The proposed system is assessed and compared with related work performance.
We will discuss the following: Classical Security Methods, AAA, Authentication, Authorization, Accounting, AAA Characteristic, Local Based AAA, Server Based AAA, TACACS+ and RADIUS.
We will discuss the following: CCNAS Overview, Threats Landscape, Hackers Tools, Tools. Kali Linux Parrot Linux Cisco Packet Tracer Wireshark Denial of Service
Distributed DoS
Man In The Middle
Phishing
Vishing
Smishing
Pharming
Sniffer
Password Attack
We will discuss the following: Graph, Directed vs Undirected Graph, Acyclic vs Cyclic Graph, Backedge, Search vs Traversal, Breadth First Traversal, Depth First Traversal, Detect Cycle in a Directed Graph.
We will discuss the following: Sorting Algorithms, Counting Sort, Radix Sort, Merge Sort.Algorithms, Time Complexity & Space Complexity, Algorithm vs Pseudocode, Some Algorithm Types, Programming Languages, Python, Anaconda.
Algorithms Lecture 3: Analysis of Algorithms IIMohamed Loey
We will discuss the following: Maximum Pairwise Product, Fibonacci, Greatest Common Divisors, Naive algorithm is too slow. The Efficient algorithm is much better. Finding the correct algorithm requires knowing something interesting about the problem
Algorithms Lecture 1: Introduction to AlgorithmsMohamed Loey
We will discuss the following: Algorithms, Time Complexity & Space Complexity, Algorithm vs Pseudo code, Some Algorithm Types, Programming Languages, Python, Anaconda.
Deep Learning - Overview of my work IIMohamed Loey
Deep Learning Machine Learning MNIST CIFAR 10 Residual Network AlexNet VGGNet GoogleNet Nvidia Deep learning (DL) is a hierarchical structure network which through simulates the human brain’s structure to extract the internal and external input data’s features
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
3. Agenda
Part I: Introduction
What is HTML?
Client & Server
HTML Versions
HTML Tags
HTML Page Structure
Web Browsers
HTML Editors
4. What is HTML?
• HTML stands
for Hyper Text Markup Language
• HTML is a markup language
• A markup language is a set of markup tags
• The tags describe document content
• HTML documents contain HTML tags and
plain text
• HTML documents are also called web pages
7. HTML Tags
• HTML tags are keywords (tag names) surrounded
by angle brackets like <html>
• The first tag in a pair is the start tag, the second
tag is the end tag
• The end tag is written like the start tag, with
a slash before the tag name
• Start and end tags are also called opening
tags and closing tags
• HTML tags normally come in pairs like <html>
and </html>
9. Web Browsers
• A browser is a software program which
interprets the HTML documents and displays it
on the user’s screen.
• The purpose of a web browser (such as
Google Chrome, Internet Explorer, Firefox,
Safari) is to read HTML documents and
display them as web pages.
11. HTML Editors
• Write HTML Using Notepad or TextEdit
• We believe using a simple text editor
(Notepad) is a good way to learn HTML.
• Follow the 4 steps below to create your first
web page with Notepad.
12. Step 1: Open Notepad
• To open Notepad in Windows 7 or earlier:
• Click Start (bottom left on your screen).
• Click All Programs. Click Accessories.
• Click Notepad.
• To open Notepad in Windows 8 or later:
• Open the Start Screen (the window symbol at the
bottom left on your screen).
• Type Notepad.
13. Step 2: Write Some HTML
• Write or copy some HTML into Notepad.
14. Step 3: Save the HTML Page
• Save the file on your computer.
• Select File -> Save as in the Notepad menu.
• When saving an HTML file, use either the .htm
or the .html file extension. There is no
difference, it is entirely up to you.
15. Step 4: View HTML Page in Your Browser
• Double-click your saved HTML file, and the
result will look much like this:
16. Professional HTML Editors
• HTML can be edited by using a professional
HTML editor like:
• Adobe Dreamweaver
• Netbeans
• CoffeeCup HTML Editor
• Microsoft Expression Web
18. Agenda
Part II: HTML Tags (Basic)
HTML Head Tag
HTML Body Tag
HTML Basic Tags
HTML Heading Tags
HTML Paragraph Tag
HTML Formatting Tags
HTML Attributes
HTML Styles
19. HTML Head Tag
• The <head> element is a container for all the
head elements. Elements inside <head> can
include scripts, instruct the browser where to
find style sheets, provide meta information,
and more.
• The following tags can be added to the head
section: <title>, <style>, <meta>, <link>,
<script>, <noscript>, and <base>.
• The <title> tag defines the title of the
document.
20. HTML Body Tag
• The <body> tag defines the document's body.
• The <body> element contains all the contents
of an HTML document, such as text,
hyperlinks, images, tables, lists, etc.
23. HTML Basic Tags
Tag Description
<!DOCTYPE> Defines the document type
<html> Defines an HTML document
<title> Defines a title for the document
<body> Defines the document's body
<h1> to <h6> Defines HTML headings
<p> Defines a paragraph
<br /> Inserts a single line break
<hr /> Defines a thematic change in the
content
<!--...--> Defines a comment
24. HTML Heading Tags
• HTML headings are defined with the <h1> to
<h6> tags.
• Example:
28. HTML Formatting Tags
Tag Description
<u> Defines text that should be stylistically different from
normal text
<strong> Defines important text
<b> Defines bold text
<i> Defines a part of text in an alternate voice or mood
<small> Defines smaller text
<big> Not supported in HTML5. Use CSS instead. Defines big text
<font> Not supported in HTML5. Use CSS instead. Defines font,
color, and size for text
<center> Not supported in HTML5. Use CSS instead. Defines
centered text
29. HTML Formatting Tags
• HTML uses tags like <b> and <i> for
formatting output, like bold or italic text.
• Example:
31. HTML Attributes
• HTML elements can have attributes
• Attributes provide additional
information about an element
• Attributes are always specified in the start tag
• Attributes come in name/value pairs
like: name="value"
36. Agenda
Part III: HTML Tags
HTML Lists Tags
Unordered Lists Tags
Ordered Lists Tags
HTML Hyperlink Tag
HTML Image Tag
HTML Table Tags
HTML Layouts
37. HTML Lists Tags
Tag Description
<ul> Defines an unordered list
<ol> Defines an ordered list
<li> Defines a list item
<dir> Not supported in HTML5. Use <ul> instead.
Defines a directory list
<dl> Defines a description list
<dt> Defines a term/name in a description list
<dd> Defines a description of a term/name in a description list
38. Unordered Lists Tags
• An unordered list starts with the <ul> tag.
Each list item starts with the <li> tag.
• Example:
42. HTML Hyperlink Tag
• The HTML <a> tag defines a hyperlink.
• A hyperlink (or link) is a word, group of words,
or image that you can click on to jump to
another document.
• When you move the cursor over a link in a
Web page, the arrow will turn into a little hand.
45. HTML Image Tag
• In HTML, images are defined with the <img>
tag.
• To display an image on a page, you need to
use the src attribute. Src stands for "source".
The value of the src attribute is the URL of the
image you want to display.
48. HTML Table Tags
Tag Description
<table> Defines a table
<caption> Defines a table caption
<th> Defines a header cell in a table
<tr> Defines a row in a table
<td> Defines a cell in a table
<thead> Groups the header content in a table
<tbody> Groups the body content in a table
<tfoot> Groups the footer content in a table
49. HTML Table Tags
• Tables are defined with the <table> tag.
• A table is divided into rows with the <tr> tag.
(tr stands for table row)
• A row is divided into data cells with
the <td> tag. (td stands for table data)
52. HTML Layouts
• Most websites have put their content in
multiple columns (formatted like a magazine or
newspaper).
• Multiple columns are created by using <div>
or <table> elements.
• The div element is a block level element used
for grouping HTML elements.
• A simple way of creating layouts is by using
the HTML <table> tag.
57. Agenda
Part V: HTML Forms
HTML Forms and Input Tags
HTML Form Tag
Text Fields
Password Field
Radio Buttons
Checkboxes
Submit Button
58. HTML Forms and Input Tags
Tag Description
<form> Defines an HTML form for user input
<input> Defines an input control
<textarea> Defines a multiline input control (text area)
<button> Defines a clickable button
<select> Defines a drop-down list
<optgroup> Defines a group of related options in a drop-down list
<option> Defines an option in a drop-down list
<label> Defines a label for an <input> element
59. HTML Form Tag
• HTML forms are used to pass data to a
server.
• An HTML form can contain input elements like
text fields, checkboxes, radio-buttons, submit
buttons and more. A form can also contain
select lists, textarea, fieldset, legend, and label
elements.
• The <form> tag is used to create an HTML
form
• The most important form element is the
<input> element.
68. Submit Button
• A submit button is used to send form data to
a server. The data is sent to the page specified
in the form's action attribute.
• On Chrome Browser