JealousGxblog.jealous.dev·Dec 9, 2024Unlocking Hyper-Performance: Writing Efficient APIs with Golang's Fiber vs Node.js's FastifyAs modern applications demand ultra-fast performance, developers often find themselves choosing frameworks that can handle millions of requests per second. Two standout options for API development are Fiber (Golang) and Fastify (Node.js). Both promis...Discussfastify
Ahmad W Khanblog.ahmadwkhan.com·Dec 9, 2024A Guide to Go for Python, PHP, and Node.js DevelopersWhy Go? 1. A Brief HistoryGo was created at Google in 2007 by a team led by Robert Griesemer, Rob Pike, and Ken Thompson. They designed it to address the challenges of large-scale software development, combining the simplicity and speed of dynamic la...Discuss·1 like·32 readsgolang
JealousGxblog.jealous.dev·Dec 5, 2024Mastering Cookies in Node.js and Go: Advanced Techniques for Scalable and Secure Web ApplicationsIn modern web development, cookies play a pivotal role in managing user sessions, preferences, and state across web applications. This guide dives deep into cookies' advanced usage in Node.js and Go, providing practical examples, best practices, and ...Discusscookies
Fatima Jannetmahia.hashnode.dev·Nov 21, 2024ML Chapter 8.1 : Deep LearningWelcome to Part 8.1 - Deep Learning! If you're new to this blog, I strongly advise you to read the previous posts because this one is quite advanced. Thank you! Deep Learning is the most exciting and powerful branch of Machine Learning. Deep Learning...Discuss·10 likes·98 readsMachine Learning (Python)Deep Learning
SATYAsatya01.hashnode.dev·Nov 15, 2024Typescript Advanced APIsHello Readers, this blog explains some of the Typescript advanced apis. If you are already familiar with typescript, knowing these advanced apis will unlock much more potential for you to write better code. Before diving into the main topic, first le...DiscussTypeScript
Fatima Jannetmahia.hashnode.dev·Nov 10, 2024ML Chapter 4 : ClusteringCongrats for completing regression and classification. I’m so proud of you. In this blog we will learn clustering. Clustering is similar to classification but the basis is different. In clustering we don’t know what we are looking for but we are tryi...Discuss·1 like·56 readsMachine Learning (Python)cluster
Fatima Jannetmahia.hashnode.dev·Nov 4, 2024ML Classification 3.5: Naive BayesHello and welcome back to the blog of machine learning. Today we will learn about Bayes theorem. Our main focus for this blog is on naive but we can’t proceed to it without Bayes theorem so here it is. Question Why is this algorithm called the native...Discuss·2 likes·49 readsMachine Learning (Python)Machine Learning
Fatima Jannetmahia.hashnode.dev·Oct 30, 2024ML Classification: Support Vector Machine (SVM)Support Vector Machines (SVMs) were initially developed in the 1960s and refined in the 1990s. Currently, they are becoming very popular in machine learning because they have demonstrating that they are very powerful and somewhat different from other...Discuss·3 likes·42 readsMachine Learning (Python)Machine Learning
Fatima Jannetmahia.hashnode.dev·Oct 29, 2024ML Classification: K-NN (K-Nearest Neighbor)Hello and welcome back to the ML blogs. Today we will learn about the K nearest neighbor. Let’s get started! Intuition Let’s say you have a plot where you have two types of category, red data and green data. Now, if a new data point appears where sho...Discuss·30 readsMachine Learning (Python)K-NN
Fatima Jannetmahia.hashnode.dev·Oct 26, 2024Machine Learning Regression Model Selection in PythonHello, welcome back to ML! So far, we have covered regressions, and this blog is about choosing the right regression model. Which one should you apply to your model? Which one you should choose? You'll find all your answers in this blog. I can confid...Discuss·40 readsMachine Learning (Python)Python
