Author: Tanishka Garg

Explore OpenCV & Why Do We Need To Know About It?

Reading Time: 4 minutes OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. OpenCV OpenCV is the huge open-source library for computer vision, Continue Reading

Why Computer Vision Had Been So Popular Till Now?

Reading Time: 3 minutes What is computer vision? Computer vision(CV) is the field of computer science that focuses on creating digital systems that can process, analyze, and make sense of visual data (images or videos) in the same way that humans do. The concept of computer vision is based on teaching computers to process an image at a pixel level and understand it. Technically, machines attempt to retrieve visual Continue Reading

Why Use MongoDB in Machine learning? And how to use MongoDB in Python?

Reading Time: 5 minutes In this blog, we will learn why to use MongoDB in Machine Learning. And how we can use MongoDB in Python using Pymongo. MongoDB is a document-oriented NoSQL database used for high-volume data storage. Instead of using tables and rows as in the traditional relational databases. MongoDB makes use of collections and documents. It is an open-source, cross-platform, document-oriented database written in C++. Installing MongoDB Continue Reading

Explore how to apply continual learning to your machine learning models

Reading Time: 3 minutes In this blog, we will be learning about continual learning (CI) importance in artificial intelligence. Continual Learning means the ability of a model to learn independently whenever new data comes in. Some may know it as auto-adaptive learning, or continual AutoML. The idea of CL is to mimic human’s ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. For example, we’ve Continue Reading

How Feature selection techniques for machine learning are important?

Reading Time: 5 minutes Feature selection is a way of selecting the subset of the most relevant features from the original features set by removing the redundant, irrelevant, or noisy features. Features are the input variables that we provide to our models. Each column in our dataset constitutes a feature. To train an optimal model, we need to make sure that we use only the essential features. If we Continue Reading

Let us know about TensorFlow Extended (TFX) components and Libraries?

Reading Time: 3 minutes In this blog, we will be learning about Tensorflow Extended (TFX) components and libraries. TFX is a Google-production-scale machine learning (ML) platform based on TensorFlow. It provides a configuration framework and shared libraries. Moreover, to integrate common components needed to define, launch, and monitor your machine learning system. How Tensorflow Extended (TFX) came up? Since the time Google has publicized Tensorflow, its application in Deep Continue Reading

Cloud Data Loss Prevention (DLP): Part-2

Reading Time: 2 minutes Google Cloud Platform’s Data Loss Protection API provides a service that can make organizations manage sensitive data, including detecting and redaction, masking, and tokenizing such data. This can help organizations comply with regulations such as GDPR, and reduce the risk of data exposure and data breaches. Such as a name, email address, telephone number, identification number, or credit card number. In the previous blog Cloud Data Loss Continue Reading

Cloud Data Loss Prevention (DLP): Part-1

Reading Time: 5 minutes Google Cloud Platform is a set of Computing, Networking, Storage, Big Data, Machine Learning, and Management services provided by Google that runs on the same Cloud infrastructure. There are over 100 products under the Google Cloud umbrella. In this blog, we will be discussing Cloud Data Loss Prevention (DLP) in detail. Cloud Data Loss Prevention (DLP) provides access to a powerful sensitive data inspection. In addition, Continue Reading

Fundamentals of Tensorflow – Part I

Reading Time: 4 minutes What is TensorFlow? TensorFlow is an open-source end-to-end machine learning library. It is for preprocessing data, modeling data, and serving models (getting them into the hands of others). It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML. And developers easily build and deploy ML-powered applications. Installing TensorFlow TensorFlow is tested and supported on the following Continue Reading

Do you know Ethereum, Smart contracts with Solidity?

Reading Time: 2 minutes Solidity is an object-oriented programming language for writing smart contracts on various blockchain platforms, most notably Ethereum. Ethereum Ethereum is an open-source, blockchain-based software platform. It has its own cryptocurrency called Ether. It enables the creation of smart contracts and decentralized applications, known as dapps. In addition, Ethereum is also a programming language that is executed on EVM. In simple words, Ethereum is “codify, decentralize, secure, and trade Continue Reading

Is SpaCy Python NLP Any Good? Seven Ways You Can Be Certain

Reading Time: 4 minutes SpaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python. If you’re operating with plenty of text, you’ll eventually want to know more about it. For example, what’s it about? What do the phrases suggest in context? Who is doing what to whom? Which texts are just like every other? Certainly, spaCy can resolve all the problems stated above. Linguistic Features in SpaCy SpaCy goes Continue Reading

Pandas for Data Analysis

Reading Time: 4 minutes Why Pandas for data Analysis? Real ‘raw’ data needs a lot of ‘wrangling’ operations before it can be ready for dissection by a data scientist one of the popular tools for data wrangling in python is Pandas. Because of the availability of widespread packages of Pandas for almost every possible function. The library Pandas is one such package that makes life easier especially for data analysis. Through Continue Reading

Difference Between Abstract Class and Trait in Scala

Reading Time: 4 minutes In this blog we’ll go through the practical difference between the Abstract class and Trait in Scala. I. OVERVIEW Firstly, Let me give you a brief introduction on what Abstract class and Traits are in Scala. After that we’ll start with the differentiation. ABSTRACT CLASS Abstraction means hiding the internal details and showing only the functionality. And, In Scala abstraction is achieved by using abstract Continue Reading