We'll be using very simple code samples written in C#, so any implicit references to language syntax should default to C#. Some of the data structures and algorithms discussed will change for the Microsoft® .NET Framework 2.0, but the concepts should largely remain the same. We'll use th...
However, when you look at the scores and metrics given by these tools, your goal is simply to improve them. Trying to achieve a perfect grade is extremely difficult and even impossible in most cases for websites functioning in the real world. Your goal should be toimprove your page load s...
particularly in the 2000+ rating range. Thanks to the large standards of wanting non-standard problems each contests, many small math tricks and greedy techniques are introduced, along with standard algorithms and data structure appearing decently enough. This is why I think they are ...
There are data-structures, such as trees, that are well-suited to recursive algorithms. There are even some programming languages with no concept of a loop — purely functional languages such as Haskell depend entirely on recursion for iterative problem solving. The point is simple: You don’t...
Let’s have a close look at some of the Python features that make it such a versatile and widely-used programming language: Readability. Python is known for its clear and readable syntax, which resembles English to a certain extent.
Learn the process of creating an algorithm with this step-by-step guide. Understand the fundamentals of problem-solving, planning, and optimization as you design effective algorithms for various applications and improve your programming skills.
Programming AI implementation requires a sound understanding of programming. Knowing how to write code allows you to develop AI algorithms, manipulate data, and use AI tools and libraries. Python is currently the most popular language in the AI community due to its simplicity, flexibility, and avai...
At least, that is what it's about to the end user. Those of us in the business think security is about cryptographic algorithms, whether Kerberos is a better choice than TLS or NTLMv2, the merits of WS*, whether password hashes should be salted, and all the other esoteric topics we ...
1. Learn the Basics of Programming. Programming is the process of creating step-by-step instructions for a computer to follow. It is a must-have skill for anyone working with AI or ML, as it is used to create the algorithms that power these technologies, train Machine Learning models, a...
But do you know what’s better? Being a data scientist who specializes in recommendation systems and knows how to deploy their algorithms to production effectively using software engineering principles and cloud systems. What I am talking about here is the idea of skill-stacking. Indeed defines sk...