Introduction to VirtualBox: A Beginners Guide!

DevOps Pre-requisites Course: https://bit.ly/PreRequisitesCourseDevOps

In this section, we will talk about setting up a lab for beginning your studies on DevOps and cloud technologies.
At KodeKloud, we have embedded labs for our courses, we provide you a readily available environment to work on. But, at times, you want to develop your own personal learning environment. An environment where your changes are persistent and where you can develop your own custom solutions. This section will help you create your own lab as well as troubleshoot and maintain it.

#virtualbox #developer #programming

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Introduction to Structured Query Language SQL pdf

SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.

Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:

1. The SQL order standard is genuinely intricate, and it isn’t handy to actualize the whole standard.

2. Every database seller needs an approach to separate its item from others.

Right now, contrasts are noted where fitting.

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Beginners Guide to Machine Learning on GCP

Introduction to Machine Learning

• Machine Learning is a way to use some set of algorithms to derive predictive analytics from data. It is different than Business Intelligence and Data Analytics in a sense that In BI and Data analytics Businesses make decision based on historical data, but In case of Machine Learning , Businesses predict the future based on the historical data. Example, It’s a difference between what happened to the business vs what will happen to the business.Its like making BI much smarter and scalable so that it can predict future rather than just showing the state of the business.
• **ML is based on Standard algorithms which are used to create use case specific model based on the data **. For example we can build the model to predict delivery time of the food, or we can build the model to predict the Delinquency rate in Finance business , but to build these model algorithm might be similar but the training would be different.Model training requires tones of examples (data).
• Basically you train your standard algorithm with your Input data. So algorithms are always same but trained models are different based on use cases. Your trained model will be as good as your data.

ML, AI , Deep learning ? What is the difference?

ML is type of AI

AI is a discipline , Machine Learning is tool set to achieve AI. DL is type of ML when data is unstructured like image, speech , video etc.

Barrier to Entry Has Fallen

AI & ML was daunting and with high barrier to entry until cloud become more robust and natural AI platform. Entry barrier to AI & ML has fallen significantly due to

• Increasing availability in data (big data).
• Increase in sophistication in algorithm.
• And availability of hardware and software due to cloud computing.

GCP Machine Learning Spectrum

• For Data scientist and ML experts , TensorFlow on AI platform is more natural choice since they will build their own custom ML models.
• But for the users who are not experts will potentially use Cloud AutoML or Pre-trained ready to go model.
• In case of AutoML we can trained our custom model with Google taking care of much of the operational tasks.
• Pre-trained models are the one which are already trained with tones of data and ready to be used by users to predict on their test data.

Prebuilt ML Models (No ML Expertise Needed)

• As discuss earlier , GCP has lot of Prebuilt models that are ready to use to solve common ML task . Such as image classification, Sentiment analysis.
• Most of the businesses are having many unstructured data sources such as e-mail, logs, web pages, ppt, documents, chat, comments etc.( 90% or more as per various studies)
• Now to process these unstructured data in the form of text, we should use Cloud Natural Language API.
• Similarly For common ML problems in the form of speech, video, vision we should use respective Prebuilt models.

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What is Bitcoin Cash? - A Beginner’s Guide

Bitcoin Cash was created as a result of a hard fork in the Bitcoin network. The Bitcoin Cash network supports a larger block size than Bitcoin (currently 32mb as opposed to Bitcoin’s 1mb).

Later on, Bitcoin Cash forked into Bitcoin SV due to differences in how to carry on its developments.

That’s Bitcoin Cash in a nutshell. If you want a more detailed review watch the complete video. Here’s what I’ll cover:

0:50 - Bitcoin forks
2:06 - Bitcoin’s block size debate
3:35 - Big blocks camp
4:26 - Small blocks camp
5:16 - Small blocks vs. big blocks arguments
7:05 - How decisions are made in the Bitcoin network
10:14 - Block size debate resolution
11:06 - Bitcoin cash intro
11:28 - BTC vs. BCH
12:13 - Bitcoin Cash (ABC) vs. Bitcoin SV
13:09 - Conclusion
📺 The video in this post was made by 99Bitcoins
The origin of the article: https://www.youtube.com/watch?v=ONhbb4YVRLM
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
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A Beginner’s Guide to Setting Up a Web Application with Typescript and Express

Web applications are types of software applications that run on remote servers (source). Examples of web applications can range from word processors, to file scanners, video editing tools, shopping carts, and more. Web applications can be great additions to any website; they can even function as websites themselves (Facebook, Gmail, and Udacity’s classroom are all examples of popular web applications), so understanding how to set up and implement a web application is a fantastic skill to have.

For this guide, I am assuming that you already have a basic knowledge of npm, node and whatExpress Requests and Responses are (or that you at least know what they are used for in their basic sense). Also, I assume that you know what the npm install and mkdir commands do. You have to know basic Typescript to implement — or at least know basic JavaScript to read and understand — the code below. Finally, this is the base for the backend of a web application. You still need to create a frontend application using a framework like Angular or an HTML/CSS file to make requests and display responses.

Before you start, it’s important that you create a folder in your favorite place on your computer. This can be anywhere as long as you have a sense of how you are going to find it later when you come up with an awesome project to start developing.

The Process:

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Introduction to VirtualBox: A Beginners Guide!

DevOps Pre-requisites Course: https://bit.ly/PreRequisitesCourseDevOps

In this section, we will talk about setting up a lab for beginning your studies on DevOps and cloud technologies.
At KodeKloud, we have embedded labs for our courses, we provide you a readily available environment to work on. But, at times, you want to develop your own personal learning environment. An environment where your changes are persistent and where you can develop your own custom solutions. This section will help you create your own lab as well as troubleshoot and maintain it.

#virtualbox #developer #programming