Best 2023 setup for Machine learning 

If you are learning machine learning then you need a good computer system in your budget to start.

What is the thing we should know before buying a good hardware and software combination for machine learning?

A powerful processor and fast computing system.

Cpu

Which type of cpu is good for machine learning?

First we will see which cpus are good and suitable for machine learning, thera are many cpus of different brands available in the market and it is confusing to choose one which is best for machile learning.

So, I will help you in choosing better cpus for machine and programming.

1. Intel core i9-13900k

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Features

The features of Intel core i9-13900ks are:-

Brand - Intel

CPU Model Core - i9

CPU Speed - 2.2 GHz

CPU Socket - LGA 1700

Platform - Mac OS X El Capitan 10.11, Windows 11, Windows 10

Secondary Cache - 32 MB

Wattage - 253 Watts

Cache Size - 36

Processor Count - 1

Product Dimensions - 33.7L x 18.5W        Centimeters

Processor Socket - LGA 1700

Graphics Card Description - Graphics Base Frequency : 300 MHz

Compatible Devices - Desktop

Item Weight - 372 g

2. Intel core i7-13700k

Get 30% discount on Amazon

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Features

The features of Intel core i7-13700k are:-

Brand - Intel

CPU Speed - 2.5 GHz

CPU Socket - LGA 1700

Platform - Mac OS X El Capitan 10.11, Windows 11, Windows 10

Secondary Cache - 24 MB

Wattage - 253 Watts

Cache Size - 30

Processor Count - 1

Product Dimensions - 23.3L x 11.8W Centimeters

Series - Raptor lake

Processor Socket - LGA 1700

Item Weight - 90.7 g

3. AMD 3rd Gen RYZEN 9 3900x

Get 24% discount 

https://amzn.to/45pG0vS

Features

Brand - AMD

CPU Speed - 3.8 GHz

CPU Socket - Socket AM4

Platform - Xbox

Secondary Cache - 4.6 MB

Wattage - 105 Watts

Cache Size - 64

Processor Count - 12

Product Dimensions - 40L x 40W Millimeters

Memory Storage Capacity - 70 MB

Processor Socket - Socket AM4

Colour Screen - No

Batteries Required - No

Does it contain liquid? - No

Has Auto Focus - No

Supports Bluetooth Technology - No

Programmable Buttons - No

Item Weight - 45.3 g

4. AMD RYZEN 7 3800x

Get 35% discount

https://amzn.to/3Ov2CEm

Features

Brand - AMD

CPU Speed - 4.5 GHz

CPU Socket - Socket AM4

Platform - Xbox

Secondary Cache - 4 MB

Wattage - 105 Watts

Cache Size - 32

Processor Count - 8

Product Dimensions - 4 x 4 x 0.6 cm; 635.03 Grams

Batteries - 1 Lithium Ion batteries required.

Ram Memory Technology - DDR4

Computer Memory Type - DDR5 SDRAM

Processor Socket Socket AM4

Compatible Processor Types - AMD 3rd Generation Ryzen

Colour Screen - No

Batteries Included - No

Batteries Required - No

Does it contain liquid? - No

Has Auto Focus - No

Includes Rechargeable Battery - No

Includes AC Adapter - No

Supports Bluetooth Technology - No

Programmable Buttons - No

Item Weight - 635 g

5. AMD threadripper 3990x

https://amzn.to/44fPuZr

Features

Brand - AMD

CPU Speed - 4.3 GHz

Platform Windows - 10

Secondary Cache - 4 MB

Wattage - 280 Watts

Cache Size - 288

Processor Count - 64

Product Dimensions - 7.8L x 5.6W Centimeters

Computer Memory Type - DDR SDRAM

Memory Clock Speed - 3200 MHz

Graphics Card Interface - PCI Express

Voltage - 1 Volts

Item Weight - 885 g

Gpu

GPU is a important tech device for getting into machine learning. It is a device used for graphics rendering by its high computing power because of its computing power it can handle data better and fastly.

You need GPU to train machine learning models. You can train on billions of data of you have a powerful GPU.

Things you should check before buying GPU:-

If you are going to buy a GPU for Machine learning then you should check that it supports CUDA. CUDA supports machine learning libraries like tensorflow and pytorch.

You must check if your selected GPU has cuda supported.

1. Nvidia rtx 4090 

Get 30% discount

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Features

Graphics Coprocessor NVIDIA GEFORCE RTX 4090 X3 OC

Brand - INNO3D

Graphics RAM Size - 24 GB

GPU Clock Speed - 2235 MHz

Video Output Interface DisplayPort, HDMI

Graphics Processor Manufacturer - NVIDIA

Graphics RAM Type - GDDR6X

Compatible Devices - Desktop

Graphics Card Interface - PCI-Express x4

Memory Clock Speed - 2550

Item Dimensions LxWxH - 33.6 x 6 x 14.5 Centimeters

Product Dimensions - 33.6 x 6 x 14.5 cm; 2.1 Kilograms

Item Weight - 2 kg 100 g

2. Nvidia rtx 4080

Get 27% discount

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Features

Graphics Coprocessor - GEFORCE RTX 4080 ICHILL X3

Brand - INNO3D

Graphics RAM Size - 16 GB

Video Output Interface - DisplayPort, HDMI

Graphics RAM Type - GDDR6X

Recommended Uses For Product Gaming

Included Components Graphic Card

Compatible Devices Desktop

Display Resolution - Maximum 7680 x 4320 Pixels

Graphics Card Interface g PCI-Express x16

Memory Clock Speed - 1.4 GHz

Item Dimensions - LxWxH 50 x 50 x 28 Centimeters

Item Height - 28 Centimeters

Item Width - 50 Centimeters

Product Dimensions - 50 x 50 x 28 cm; 2.17 Kilograms

Item Weight - 2 kg 170 g

3. Nvidia Tesla v100

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Features

Brand - NvidiaCorporation

Graphics RAM Size - 32 GB

GPU Clock Speed - 1230 MHz

Graphics Processor Manufacturer - NVIDIA

Graphics RAM Type - GDDR5

Compatible Devices - Desktop

Graphics Card Interface - PCI Express

Product Dimensions - 30.5L x 15.2W Centimeters

Manufacturer Nvidia Corporation

Item Weight - 0.28 g

4. Nvidia Tesla a100

5. Nvidia rtx 4070

Get 35% discount

https://amzn.to/45pN6kB

Features

Graphics Coprocessor - NVIDIA GEFORCE RTX 4070 Ti

Brand - INNO3D

Graphics RAM Size - 12 GB

GPU Clock Speed - 2310 MHz

Video Output Interface - DisplayPort, HDMI

Graphics Processor Manufacturer - NVIDIA

Graphics RAM Type GDDR6X

Recommended Uses For Product Gaming

Included Components Graphics Card

Compatible Devices Desktop

Display Resolution - Maximum 7680 x 4320 Pixels

Graphics Card Interface - PCI-Express x16

Memory Clock Speed - 2310 MHz

Product Dimensions -24L x 69W Centimeters

Manufacturer - INNO3D, INNO3D

Form Factor - Dual Slot

Item Weight - 1 kg 200 g

 Java vs python. Which is better?

Programming language are the key to computer science, from the starting of computer science to till now there are approx 2500 programming language available but not all of them are popular and used by a big number of people.

But there are a few programming languages which are very popular and majorly used in modern computer science projects are two of them are Java and python.

So, today we will talk about Java and python and see the differences between them and will learn about when we should use Java and when python.

Java

Java is a programming language that was first developed by Sun Microsystems in the mid-1990s. It is known for its platform independence, which means that Java programs can run on various operating systems without modification. 

Java is a platform independent language that means you can run the code without the need of seperate compilation setup.

Uses

Mobile applications

Web development 

Game development

Internet of things

Pros

-Java has a variety of integrated development environments (IDEs) like Eclipse, IntelliJ IDEA, and NetBeans, which offer powerful tools for code development, debugging, and testing.

-Java's performance and scalability make it suitable for building large-scale, enterprise-level applications and systems.

-Java is generally faster than python programming.

Cons

-Java's strict object-oriented nature and design patterns can make it more complex, especially for beginners or those transitioning from simpler languages.

-Longer lines of codes than python, you need to write more terms for a simple code which could be done in fewer lines with python.

Python 

Python is a popular high-level programming language known for its readability and versatility. It's widely used in various fields, such as web development, data analysis, artificial intelligence, scientific research, and more. Its syntax is easy to understand, making it a great choice for beginners and experienced programmers alike.

Uses 

Machine learning

Web development

Scientific computing

Natural language processing

Cybersecurity 

Data analysis

Pros

-Python is known for its simplicity and it is very easy to use that's why most people learn python as  their first programming language .

-it has frameworks like django, flask which uses to deployment of web application.

-Python is an interpreted language, meaning you can execute code without the need for a separate compilation step. This speeds up the development and testing process.

-Python's clean and straightforward syntax promotes readable and maintainable code, which reduces the chances of errors and makes collaboration easier.

Cons

-Python is an interpreted language, which can result in slower execution compared to compiled languages like  java. While this performance gap may not be significant for many applications, it can be a concern for computationally intensive tasks.

-While Python can be used for mobile app development (e.g., with frameworks like Kivy), it is not as commonly used as languages like Java.

-Python’s database access layers are weaker than Java’s JDBC. This is why it is rarely used in enterprises

Conclusion

Java and python both are mainstream programming languages and both have their own benifits.

Use Java if you need high performance, scalability, strong type checking, and access to mature enterprise frameworks.

Use python if you need quick prototyping, and want to work on data-related tasks or emerging fields like machine learning and AI.

Python is going to became more friendly to developers but currently java is the most preferred.

 Will a.i. snatch job from programmers

A.i. is getting better day by day and many tech companies are investing to make it more efficient and better.

The market value of a.i. is going to expand to 2 trillion dollars by 2030, so no doubt it is going to takeover many jobs.

Why a.i. is better than humans? 

Artificial intelligence is better than humans no doubt, buy not in every field, right now the imaginative and creative side of a.i. is not evolved so much that it could beat humans.

But a.i. is better in many skills such as calculation, pattern recognition, automation  to certain extent and some more.

so, it is clear that right now a.i. will only replace jobs which doesn't required much creativity and imaginative skills,

A.i. can only generate some basic codes,  and can not solve some new and complex problems, the a.i. will be mostly used as a tool for high tier programmers so that they don't have to spend time on coding same thing and they can work on new algorithms and problems.

How a.i. will affect software industries?

In 2021, the global software market size was valued at 429 billion dollars.

There were approximately 18 million software developers in 2013 and 26.8 million software developers at the end of 2021 and it will grow to reach 45 million till 2030 but how much of the software developers jobs requirements would be fulfilled by only a.i.?

It is clear that a.i. can't fulfill every type of software development jobs but it will fulfill jobs of some particular areas.

Software developer jobs that would be acquired by a.i.

A.i. would only replace low tier programmers and those programmers who has only basic knowledge about programming like writing simple programmes.

A.i. would be used for debugging, generation of simple programmes, creating simple algorithms but for complex programming and solving new problems, the skills of a professional software  developers would be required.

Software developer jobs that would not be acquired by a.i.

There are some jobs in softwares field which would not replaced by a.i. for atleast next 50 years and they are data scientists, Machine learning, creating complex algorithms, solving new problems researching, etc.

But the attention of people towards a.i. is growing more and more and the development of a.i. is accelerating and no one knows what will happen in next 50 or 60 years, may be a.i. gets improved in imagination and creative aspects and if it happens more and more jobs would be snatched from us by a.i.

How to survive in the rise of a.i.?

If you want to secure your job and wanted to not get affected by a.i. then you will have to keep some things in mind.

-Keep sharping your mind with latest knowledge and experience, you have to always keep learning latest things to survive in IT sector.

-Choose jobs which are not or very less affected by a.i. such as data scientists, top tier programmers, researcher, etc.

And you are in any job which could be in danger in next 10 years because of a.i. then start looking for a more secured job from now because the competition will become more in coming future.

-a.i. will mainly used as a tool for programmers so, learn about a.i. tools which helps in programming such as chat-gpt, it will increase your efficiency and will make you better from those who doesn't know how to use these tools.

 How to create a registration form using php, html, css and mysql database.

Setting up database.

-Open your xampp panel and start your MySQL and Apache server.

-Open your browser and visit

Localhost/phpmyadmin/

-Click on new on the left side bar of php myadmin page.

-Assign a database name and click on create.

-Then assign a table name and choose 3 columns, one for name and others for email and password.

We have successfully setuped our database and tables.

Now we will work on frontend.

Frontend

Create a register.html file

<html>

<head>

<title>

Registration form

</title>

</head>

<body>

    <h1>Registration Form</h1>

    <div class="main">

        <div class="userform">

            <form action="" class="form"

method="post">

            Name

            <p><input type="text"

name="name"/></p>

            Email

            <p><input type="text"

name="email"/></p>

            password

            <p><input type="text"

name="password"/></p>

            <p><input type="submit"

placeholder="Submit"></p>

        </form>

        </div>

    </div>

</body>

</html>

Add little css

<style>

    .main{

        align-items: center;

        justify-content: center;

        display: flex;

       

    }

    body h1{

        text-align: center;

       

       

       

    }

.userform{

   

    background-color: aquamarine;

    justify-content: center;

    display: flex;

    width: 20vw;

    height: 40vh;

    border-radius: 5px;

   

}

input[type='text']{

    border-radius: 5px;

}

input[type='submit']{

    background-color: rgb(73, 73, 139);

   

   

}

</style>

this is how our form looks like

Backend

Here, we will code all the logics which required to transfer registered data from html form to the MySQL database.

First create a register.php file

This is the backend code you can copy paste in your file and the code is explained below the code.

<?php

$name=$_POST['name'];

$email=$_POST['email'];

$password=$_POST['password'];

$conn= mysqli_connect("localhost",

"root", "", "registration");

$sql= "SELECT * FROM table WHERE

$email= $email";

$Query=Mysqli_query($conn, $sql);

$num=$mysqli_num_rows($Query);

If($num==0){

$conn= mysqli_connect("localhost",

"root", "", "registration");

$sql= "INSERT into userdata(name,

email, password ) VALUES('{$name}',

'{$email}', '{$password}')";

$Query= Mysqli_query($conn, $sql);

echo "Successfully registered";

}else{

echo "This email is already registered";

};

?>

-First we have got the post data such as name, email and password from html form with the help of the function $_POST[].

Note:- $email and $password are the variables you create in php you can choose any text as your variable in php, you just need to add '$' before the text to convert it into variable.

-then we created a connection between our database with the help of mysqli_connect() function. 

In mysqli_connect() we are using four terms .

Those terms are explained below.

 Localhost is the host name of the host      where your database is created, for local computer it is localhost or 127.0.0.1

Then root is the username of your local MySQL server if your database is not in your local computer then use the username of  MySQL provided by the host.

Then password of your database, here we leaves it empty ("") because we are not using any password in our database but if you use the password then you should also mention it in your code.

Then at the end we are using our database name which is registration.