Every platform has its own search algorithm and ranking factors. A strategy that works for Google may not work for YouTube or an app store. Hence, to maximize the visibility, have a look at how SEO works across different platforms: 8. WordPress SEO It is a well-known fact that WordPress...
Artificial Intelligence (AI) is without a doubt the technology that has transformed the twenty-first century. Since AI has become a seamless part of our everyday lives, it is essential to comprehend its categories and capabilities. In order to improve your understanding, this blog will examine t...
In any discussion of AI algorithms, it's important to also underscore the value of using the right data in the training of algorithms. There are numerous characteristics that define what the right data for an AI algorithm should be. At the most basic level, the data needs to be relevant t...
Graph Data Structure Spanning Tree Strongly Connected Components Adjacency Matrix Adjacency List DFS Algorithm Breadth-first Search Bellman Ford's Algorithm Sorting and Searching Algorithms Bubble Sort Selection Sort Insertion Sort Merge Sort Quicksort Counting Sort Radix Sort Bucket Sort Heap Sort Shell So...
PostgreSQL index types have basically divided into six types, i.e., B-tree, hash, GIN, BRIN, SP-GIST, and GiST index, each of the index types has different storage structures and algorithm to retrieve data from the query. PostgreSQL 的索引类型基本上分为六种,即B 树索引、哈希索引、GIN 索...
It is a supervised machine learning algorithm used for classification tasks. It’s a simple and intuitive algorithm that operates based on the principle of similarity between data points. In KNN, the idea is that similar data points tend to have similar labels or outcomes. 1.3. Logistic Regressi...
Limited memory-based AI can store data from past experiences temporarily. As mentioned earlier, in 2012, we witnessed the deep learning revolution. Based on our understanding of the brain's inner mechanisms, an algorithm was developed that could imitate the way our neurons connect. One of the ...
A convolutional neural network (CNN) is a deep learning algorithm specifically designed to process image data. Convoluted neural networks are used in image recognition and processing. The neural networks in a CNN are arranged similarly to the frontal lobe of the human brain, a part of the brain...
Somewhat interpretable depending on the algorithm. Often a "black box" due to complex neural layers. Training Time Minimal; rule-based execution. Moderate; requires data training. Long; can take hours to weeks. Examples Chatbots, smart assistants, self-driving cars. Fraud detection, recommendation...
Instead, we give it thousands of images of cats and let the machine learning algorithm figure out the common patterns and features that define a cat. Over time, as the algorithm processes more images, it gets better at recognizing cats, even when presented with images it has never seen ...