Elinor  Willms

Elinor Willms

1626918780

Learn Everything About CSS | CSS CRASH COURSE

Learn Everything About CSS | CSS CRASH COURSE

In this tutorial, I will be covering everything you need to know about CSS3. This is a video that even a beginner with little or no knowledge about programming will understand.

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Learn Everything About CSS | CSS CRASH COURSE
Ananya Gupta

Ananya Gupta

1595485129

Pros and Cons of Machine Learning Language

Amid all the promotion around Big Data, we continue hearing the expression “AI”. In addition to the fact that it offers a profitable vocation, it vows to tackle issues and advantage organizations by making expectations and helping them settle on better choices. In this blog, we will gain proficiency with the Advantages and Disadvantages of Machine Learning. As we will attempt to comprehend where to utilize it and where not to utilize Machine learning.

In this article, we discuss the Pros and Cons of Machine Learning.
Each coin has two faces, each face has its property and highlights. It’s an ideal opportunity to reveal the essence of ML. An extremely integral asset that holds the possibility to reform how things work.

Pros of Machine learning

  1. **Effectively recognizes patterns and examples **

AI can survey enormous volumes of information and find explicit patterns and examples that would not be evident to people. For example, for an online business site like Amazon, it serves to comprehend the perusing practices and buy chronicles of its clients to help oblige the correct items, arrangements, and updates pertinent to them. It utilizes the outcomes to uncover important promotions to them.

**Do you know the Applications of Machine Learning? **

  1. No human mediation required (mechanization)

With ML, you don’t have to keep an eye on the venture at all times. Since it implies enabling machines to learn, it lets them make forecasts and improve the calculations all alone. A typical case of this is hostile to infection programming projects; they figure out how to channel new dangers as they are perceived. ML is additionally acceptable at perceiving spam.

  1. **Constant Improvement **

As ML calculations gain understanding, they continue improving in precision and productivity. This lets them settle on better choices. Let’s assume you have to make a climate figure model. As the measure of information you have continues developing, your calculations figure out how to make increasingly exact expectations quicker.

  1. **Taking care of multi-dimensional and multi-assortment information **

AI calculations are acceptable at taking care of information that is multi-dimensional and multi-assortment, and they can do this in unique or unsure conditions. Key Difference Between Machine Learning and Artificial Intelligence

  1. **Wide Applications **

You could be an e-posterior or a social insurance supplier and make ML work for you. Where it applies, it holds the ability to help convey a considerably more close to home understanding to clients while additionally focusing on the correct clients.

**Cons of Machine Learning **

With every one of those points of interest to its effectiveness and ubiquity, Machine Learning isn’t great. The accompanying components serve to confine it:

1.** Information Acquisition**

AI requires monstrous informational indexes to prepare on, and these ought to be comprehensive/fair-minded, and of good quality. There can likewise be times where they should trust that new information will be created.

  1. **Time and Resources **

ML needs sufficient opportunity to allow the calculations to learn and grow enough to satisfy their motivation with a lot of precision and pertinence. It additionally needs monstrous assets to work. This can mean extra necessities of PC power for you.
**
Likewise, see the eventual fate of Machine Learning **

  1. **Understanding of Results **

Another significant test is the capacity to precisely decipher results produced by the calculations. You should likewise cautiously pick the calculations for your motivation.

  1. High mistake weakness

AI is self-governing yet exceptionally powerless to mistakes. Assume you train a calculation with informational indexes sufficiently little to not be comprehensive. You end up with one-sided expectations originating from a one-sided preparing set. This prompts unessential promotions being shown to clients. On account of ML, such botches can set off a chain of mistakes that can go undetected for extensive periods. What’s more, when they do get saw, it takes very some effort to perceive the wellspring of the issue, and significantly longer to address it.

**Conclusion: **

Subsequently, we have considered the Pros and Cons of Machine Learning. Likewise, this blog causes a person to comprehend why one needs to pick AI. While Machine Learning can be unimaginably ground-breaking when utilized in the correct manners and in the correct spots (where gigantic preparing informational indexes are accessible), it unquestionably isn’t for everybody. You may likewise prefer to peruse Deep Learning Vs Machine Learning.

#machine learning online training #machine learning online course #machine learning course #machine learning certification course #machine learning training

CSS FlexBox Cheat Sheets for Web Developers in 2021

It’s 2021! Let’s refresh Our CSS Flexbox  Memory. Here’s a Cheat Sheet of everything you can do with CSS flexbox to get started in 2021

#css3 #learn-flexbox-css #flexbox-tutorials #learn-css #web-development #learn-web-development #learning-css

Alisha  Larkin

Alisha Larkin

1623507720

An Introduction to CSS Variables

This article is part 1 out of 3 articles detailing CSS files. You can find links to the other two at the bottom of this page.

One of the biggest issues with writing large amounts of CSS is keeping things consistent. For example, in a large codebase a single color can be used hundreds of times in hundreds of places. This repetition makes maintenance difficult as a simple design tweak like changing a color can result in that change needing to be made in many, many places.

CSS pre-processors like Sass and Less attempt to solve this particular problem (and others) by including variables. Variables let you set common values like colors and sizes in a single place then reference the variable when you need to use those values. Now a simple color change only needs to be made in one place.

Modern CSS, though, is very powerful and CSS now has native support for variables. You don’t need any build tools or pipelines; they are just part of the language. The code you write is the code that the browser uses. Formally, variables are “custom properties” but are commonly referred to simply as variables. Let’s explore how they can be used and how they can make writing CSS a much better experience.

Declaring and Using Variables

One of the telling things about the name “custom properties” is that they are CSS properties. Since they are properties, they have to be declared within a CSS rule like any other property:

/* Nope! */
--brand-color: #003d7d;

.foo {
    /* Yep! */
    --brand-color: #003d7d;
}

To differentiate variables from standard properties, they must start with --. Any name can be used though, so long as you only use letters, numbers, and dashes. Remember that they are case-sensitive, so --foo and --Foo are not the same variable.

Variables are also part of the normal cascade of CSS properties. This effectively means that you will want to declare your global variables on the highest element in the document tree, which is almost always html. But if you have styles that apply to the html element and want to keep your variable declarations separate, a common practice is to use the :root pseudo-class:

:root {
    --brand-color: #003d7d;
}

The values of your variables can be many different things as basically any valid CSS value can be the value of a variable. Sizes and colors are just the beginning as entire border and background values can also be stored. You can also use the value from one variable to set another. The possibilities are endless.

:root {
    --brand-color: #003d7d;
    --spacing: 4px;
    --spacing-large: calc(var(--spacing) * 2);
    --border: 2px solid var(--brand-color);
    --info-icon-bg-image: url('data:/...');
}

In the code sample above, you probably noticed how we access the value of variables: the var() function. The first parameter to that function should be the variable you need the value from. The second (optional) parameter is used as a fallback value. This is useful if you are not sure if a variable has been set and can be used for all sorts of fun tricks.

:root {
    --some-color: #003d7d;
}

.widget {
    background-color: var(--some-color);
    font-size: var(--font-size, 16px);
}

In that example, since we did not declare a --font-size variable, var() will return 16px since that is the fallback value. Note that only the first value is considered the variable to evaluate and, like the values of variables, the fallback value can contain commas. For example, var(–foo, red, blue) defines a fallback of red, blue and not two separate fallback values.

#css #learning-css #css-fundamentals #learn-css #software-development

Alayna  Rippin

Alayna Rippin

1603188000

Creating a CSS Visual Cheatsheet

The other day one of our students asked about possibility of having a CSS cheatsheet to help to decide on the best suited approach when doing this or that layout.

This evolved into the idea of making a visual CSS cheatsheet with all (most) of the common patterns we see everyday and one of the best possible conceptual implementation for them.

In the end any layout could and should be split into parts/blocks and we see every block separately.

Here is our first take on that and we would be happy to keep extending it to help us all.

Please, send you suggestions in the comments in community or via gitlab for the repeated CSS patterns with your favourite implementation for that so that we will all together make this as useful as it can be.

#css #css3 #cascading-style-sheets #web-development #html-css #css-grids #learning-css #html-css-basics

This CSS Cut Out Effect is Guaranteed to Blow Your Mind 🤯

This effect is so cool and just fun to see. What it comes down to is having a background image show through the text.

How it works is that we will have a div that will have the image as a background. On that, we put our text element, using blend-mode it will show through the image.

The result you can see and touch on this Codepen.

#css #css3 #html-css #css-grids #learning-css #html-css-basics