AI is making a path for non-technical as well as technical users to have a unique, code-free, visual, and compatible platform to design and develop their models. This enables the user to have a code-free environment and boosts the prototype development. Introduction – Say Hello to No-Code Machine Learning! With the pacing of technological development, many changes are going on in the field of Artificial Intelligence and Machine Learning. The technical developers have a hefty stack full of many programming languages, libraries, integrated development environments, and much more. This makes the ..read more

Data Structures and algorithms are key to clearing multiple placement tests as well as for competitive programming. A list of important data structures are listed below: Array Linked list Stacks Queues Hash tables Trees Heaps Graphs Let’s begin with arrays in this article. Github link: https://github.com/MansiiMishra/Data-Structures-and-Algorithms.git  Arrays Arrays are a collection of elements belonging to the same data type that can be easily accessed using their index value. Consider array is a pile of books on your study table (Consider 5 books) out of which one is on the desk henc ..read more

Prerequisites – OpenCV (Basic), Python Face Detection is one of the most popular mini-projects a beginner at ML (Machine Learning) can go for One such project is Basic face detection using Haar Cascade Algorithm. In this project, we will be using our webcam to detect the face in real-time. What is Haar Cascade? Haar Cascades are machine learning object detection algorithms that are used to identify faces in an image or a real-time video. The Harr Cascade algorithm uses edge or line detection features that were proposed by Viola and Jones in their research paper published in the ..read more

Face Detection is one of the most popular mini-projects a beginner at ML (Machine Learning) can go for one such project is Basic face detection using Haar Cascade Algorithm. What is Haar Cascade? Haar Cascades are machine learning object detection algorithms that are used to identify faces in an image or a real-time video. The Haar Cascade algorithm uses edge or line detection features that are proposed by Viola and Jones within their research paper named “Rapid Object Detection employing Boosted Cascade of Simple Features”   How can we use this algorithm in ..read more

SQL – Structured Query Language, yes, you heard it right SQL is a language that we use to design and manage our Database.  Let’s just take a second and learn about Database. Database: A Database is the collection of data that is nothing but information which is clearly organised so that we can easily access and modify the data. In general, databases consist of the information about employees in the office, students in college, sale transactions, and customer details, etc. We use SQL to access the database. Database Management System (DBMS) is software which we use to store, manage, and re ..read more

Are you stuck with the slow processing of your algorithms? Here is what you require! cuML has introduced and established various efficient and fast algorithms that have paced the work of the data scientists and all machine learning enthusiasts who are indulged in the art of algorithm framing. This has accelerated the analytical tasks, providing efficiency, accuracy, and fit-predict-transform with ease and accuracy. You might also like – Top 5 Kaggle datasets to practice NLP, Understanding Machine Learning Ops – MLOps, and Intro to AutoML – Automated Machine Learning. For more such topics – Cl ..read more

We know that the sklearn library is a collection of a variety of Machine learning algorithms that can help us to train our data. The problem arises when the training data is huge because training a huge amount of data takes immense time. To increase the speed of training our model by one hundred and fifty times faster than using sklearn data scientists have made it possible with cuML. Before learning cuML, we should have acquaintance with RAPIDS. Let’s see what is RAPIDS.  RAPIDS RAPIDS is a set of open-source software libraries which help us to execute complete data science projects on ..read more

To train the machines and make them capable of making certain decisions the field of reinforcement learning is required. It is the sub-domain of Machine Learning that helps in the automation of machines and making them intelligent. It requires the study and implementation of various algorithms that would understand the patterns and paths followed at certain decisions. It involves the deep insight of two separate components – supervised learning and unsupervised learning. You might also like – Understanding Machine Learning Ops (MLOps) and Introduction to AutoML (Automated Machine Learning). F ..read more

In this article, I will walk you through Light GBM. This is also another variation of gradient boosting and light stands for a lighter version. Which is believed to make the model faster, more efficient, and a bit more accurate. I hope this article will give you clarity about using LGBM in Machine learning. In life we want everything to be faster and accurate. Similarly, all the software developers want their model to run faster and show results within no time. To make it possible LGBM came into existence. In this article, we are going to learn what is LGBM framework and what are its advantag ..read more

Amazon launches computer vision services to detect defects in manufactured products using the base art of Artificial Intelligence. It uses the feature of Amazon Web Services (AWS), i.e., cloud service to analyze the images. For this, it uses computer vision and finds the defects in the products. You might also like Understanding Machine Learning Ops – MLOps, Intro to AutoML – Automated Machine Learning, and Introduction to NLP For more such topics – Click Here The baseline for this achievement by Amazon is led by Artificial Intelligence. The AWS console provides various features to use the cl ..read more