Numpy is a python library for performing large scale numerical computations. It is extremely useful, especially in machine learning. Let's look at what Numpy has to offer.

Introduction

NumPy is a Python library used to perform numerical computations with large datasets. Numpy stands for Numerical Python and it is a popular library used by data scientists, especially for machine learning problems. NumPy is useful during pre-processing the data before you train it using a machine learning algorithm.

Working with n-dimensional arrays is easier in Numpy compared to Python lists. Numpy arrays are also faster than Python lists since unlike lists, NumPy arrays are stored at one continuous place in memory. This enables the processor to perform computations efficiently with NumPy arrays.

In this article, we will look at the basics of working with Numpy including array operations, matrix transformations, generating random values, and so on. …

Hope you had a great weekend. Here are the stories from last week.

• Penetration Testing — 100 Terms You Need To Know — This article will help you understand some of the common terms you will come across as a security engineer.
• WiFi Hacking — Securing Wifi Networks With Aircrack-NG — In this article, we will look at how to audit wireless networks using Aircrack.

Have a great week :)

Cheers,
Manish
Find me at https://www.linkedin.com/in/manishmshiva

Aircrack comprises of a suite of tools that help you attack as well as defend wireless networks. Let's look at what Aircrack has to offer.

Imagine a world without wifi. We would still be using long wires of ethernet cables to connect to the internet.

There is no debate on how much WiFi has made our lives easier. Now we can connect to the internet on coffee shops, subway stations and almost anywhere we go.

However, WiFi is also a vulnerable network compared to the ethernet. Unless it is properly secured, it's easy to perform man-in-the-middle attacks using tools like Wireshark.

For example, if you are connected to a Starbucks network, anyone connected to that network can look at every other person’s network traffic. Unless you use a VPN or the website uses https, your data (including passwords and credit card details) will be visible to the entire network. …

Hope you had a great weekend. Here are the stories from last week.

• Metasploit — A Walkthrough Of The Powerful Exploitation Framework — Detailed article on what makes Metasploit the most versatile penetration testing toolkit.
• TinyML — How To Build Intelligent IoT Devices with Tensorflow Lite — Combining machine learning and embedded systems to build intelligent IoT devices.
• Ethical Hacking Lifecycle — Five Stages Of A Penetration Test — A walkthrough of the five stages involved in conducting a successful penetration test.

Have a great week :)

Cheers,
Manish Shivanandhan
Find me at https://www.linkedin.com/in/manishmshiva

Cybersecurity has its fair share of jargon. This article will help you understand some of the common terms you will come across as a security engineer.

1. Authentication — The process of checking if a user is allowed to gain access to a system. eg. Login forms with username and password.
2. Authorization — Checking if the authenticated user has access to perform an action. eg. user, admin, super admin roles.
3. Audit — Conduct a complete inspection of an organization’s network to find vulnerable endpoints or malicious software.
4. Access Control List — A list that contains users and their level of access to a system.
5. Aircrack-ng — Wifi penetration testing software suite. Contains sniffing, password cracking, and general wireless attacking tools.
6. Backdoor — A piece of code that lets hackers get into the system easily after it has been compromised. …

Penetration testing is the process of exploiting an organization’s network to help defend it better. Here are five steps involved in a successful penetration test.

Before we get into the article, I would like to emphasize that I am not responsible for any damage you do trying to attack systems. Its illegal. You should have written permission before you even try to scan a system or a network.

Cybersecurity is one of the hottest fields to be in, thanks to companies going remote. Cyber threats are increasing and cybercriminals are finding new ways to exploit systems.

Penetration testing is how the good guys work. They think like hackers and attack their own systems. …

Advertising is failing, thanks to Adblockers. Here’s how you can sell successfully to an audience without trying to shove an ad down their throat.

THE PROBLEM

Advertising is hard. If you are a marketer, I don’t have to tell you that. You probably learned it from your last Facebook / Google ad campaign.

Businesses buy billions of dollars of advertising every year to promote their products. Compared to the age of Television, you can measure your returns.

But what’s the point?

On average, display advertising gets less than 30% engagement.

To be clear, I am not telling you not to run ads on Facebook or Google. There are businesses that are wildly successful using paid advertising. I am just saying it's not going to last.

Look at Adblockers. Content creators have been panicking with the rise of adblocker usage in both web and mobile platforms. …

Intelligent IoT devices are all around us. In this article, we will see how you can combine machine learning and embedded systems to build intelligent IoT devices.

If you are new to machine learning, it is a technique of using algorithms to analyze massive amounts of data to draw conclusions. Deep learning is a branch of machine learning that uses an algorithm called neural networks.

When you combine large data sets with high computing power, these neural networks can understand patterns between data.

Deep learning has given rise to self-driving cars, personal assistants like Siri, and many others. Engineers are adopting deep learning models into their applications to solve complex problems for their customers.

Tensorflow is a leading Deep learning library developed by Google. It supports a variety of neural network models like Convolutional and Recurrent Neural Networks. …