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…

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

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…

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

1. Authentication — Authentication is the process of checking if a user is allowed to gain access to a system. This is commonly achieved by using username/passwords, ssh keys, etc.
2. Authorization — Authorization is the process of checking if the authenticated user has permission to perform an action. For example, after logging into Facebook, you are authorized to update your profile and settings, but not anyone else’s.
3. Audit — Generally, audit means “inspection”. In Cybersecurity, an audit is to conduct a complete inspection of an organization’s network to find vulnerabilities. …

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. …

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…

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…