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Articles on Trending Technologies
Technical articles with clear explanations and examples
Technical SEO for Large Websites: Tips and Best Practices
If you manage a large website, you know how important it is to optimize it for better search rankings on the web. In this regard, technical SEO is highly imperative. But most website owners need help understanding and implementing. In this article, we will discuss tips to optimize certain important elements of any large website to aid towards faster ranking. Why is Technical SEO Important for Large Websites? Large websites often have a complex architecture with lots of pages, sections, and subdomains. This can make it difficult for search engines to crawl and index all of their content effectively. You ...
Read MoreTechnical SEO for Video Content: A Complete Guide
Search engine optimization (SEO) is essential for standing out among the competition. From carefully chosen keywords to rapidly-evolving algorithms, a comprehensive and thorough SEO strategy requires knowledge of both technical elements and creative content production. When it comes to video content, there are several technical aspects to consider to rank well in searches. To help you in this regard, this guide outlines the best practices for optimizing your videos through Technical SEO. Learn how expertly targeted metadata can bring more visibility and engagement with potential customers! Technical SEO for Video Content Technical SEO for video content is essential to make ...
Read MoreHow Technical SEO Impacts Site Architecture?
It's no secret that SEO is a critical part of any successful digital marketing strategy. After all, it can help shape your content and direct potential customers towards your website. However, many organizations overlook the technical aspect of SEO when constructing their site architecture. Technical SEO refers to optimizing the code on a page in order to improve its ranking on web search engine results pages (SERPs). Drawing upon my experience as an experienced Digital Marketer, I am here to show you why it is important to include technical SEO into your site architecture and how doing so could potentially ...
Read MoreHow Technical SEO Affects Site Speed and Performance
Technical SEO is the process of optimizing a website's technical aspects in order to increase its performance and visibility in search results. An important component in determining a website's position on search engine results in pages is its speed and performance (SERPs). The user experience can be greatly affected by slow loading times, sluggish mobile designs, and other technical problems, which can lead to greater bounce rates and less traffic. Understanding the Relationship b/w Technical SEO and Site Speed and Performance Below are some of the reasons how technical SEO affects a site's speed and performance. Website Crawlability The ability of search ...
Read MoreHow to Leverage Technical SEO to Improve Your Rankings
Leveraging technical SEO can have a great impact on your search engine rankings. However, it is important to remember that effective SEO strategies go beyond quality content. In this regard, let’s have a look at some of the important tips to improve your site ranking with ease. Tips to Use Technical SEO for Improving Your Site’s Ranking Below are some vital tips to use technical seo. Don’t miss it if you really want to learn it in depth! Use Canonical URLs to Avoid Plagiarism Issue Duplicate contents in a site can have negative impact on search engine ranking. Your first ...
Read MoreRidge and Lasso Regression Explained
Introduction Two well-liked regularization methods for linear regression models are ridge and lasso regression. They help to solve the overfitting issue, which arises when a model is overly complicated and fits the training data too well, leading to worse performance on fresh data. Ridge regression reduces the size of the coefficients and prevents overfitting by introducing a penalty element to the cost function of linear regression. The squared coefficient total is directly proportional to this penalty component. Adversely, a penalty term is added in lasso regression that is proportionate to the total of the absolute values of the coefficients. This ...
Read MoreNaive Bayes algorithm: Prior, likelihood and marginal likelihood
Introduction Based on Bayes' theorem, the naive Bayes algorithm is a probabilistic classification technique. It is predicated on the idea that a feature's presence in a class is unrelated to the presence of other features. Applications for this technique include text categorization, sentiment analysis, spam filtering, and picture recognition, among many others. A key concept in probability theory, the Bayes theorem provides a method for calculating the likelihood of an event given the chance of related events. Conditional probability, or the possibility of an event happening in the presence of another occurrence, serves as the theoretical foundation. Prior, likelihood and ...
Read MoreWhat is learning rate in Neural Networks?
In neural network models, the learning rate is a crucial hyperparameter that regulates the magnitude of weight updates applied during training. It is crucial in influencing the rate of convergence and the caliber of a model's answer. To make sure the model is learning properly without overshooting or converging too slowly, an adequate learning rate must be chosen. The notion of learning rate in neural networks, its significance, and numerous methods to choose an optimal learning rate will all be covered in this article. We will also go through how to identify and resolve typical learning rate issues that develop ...
Read MoreFixing constant validation accuracy in CNN model training
Introduction The categorization of images and the identification of objects are two computer vision tasks that frequently employ convolutional neural networks (CNNs). Yet, it can be difficult to train a CNN model, particularly if the validation accuracy approaches a plateau and stays that way for a long time. Several factors, including insufficient training data, poor hyperparameter tuning, model complexity, and overfitting, might contribute to this problem. In this post, we'll talk about a few tried-and-true methods for improving constant validation accuracy in CNN training. These methods involve data augmentation, learning rate adjustment, batch size tuning, regularization, optimizer selection, initialization, and ...
Read MoreActivation Function in a Neural Network: Sigmoid vs Tanh
Introduction Due to the non-linearity that can introduce towards the output of neurons, activation functions are essential to the functioning of neural networks. Sigmoid and tanh are two of the most often employed activation functions in neural networks. Binary classification issues frequently employ the sigmoid function in the output layer to transfer input values to a range between 0 and 1. In the deep layers of neural networks, the tanh function, which translates input values to a range between -1 and 1, is frequently applied. The usage of either function relies on the particular needs of the issue being handled ...
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