Tanishka Garg, Author at Knoldus Blogs

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Know how Computer Vision and Augmented Reality overlap each other?

January 19, 2023January 20, 2023AI, ML, AI and Data Engineering, pythonaugmented reality, Computer Vision, machinelearning, python, virtual reality

Reading Time: 2 minutes To understand the overlapping of Computer Vision and Augmented Reality, Let’s understand what is computer vision, augumented reality and virtual reality. Computer Vision Augmented Reality Virtual Reality A direct comparison of Augmented Reality and Virtual Reality Application of Augmented Reality and Computer Vision Augmented Reality and Computer Vision in Autonomous Cars Security Monitoring with Augmented Vision and Computer Vision Augmented Reality and Computer Vision in Continue Reading

Build easy conversational AI – GCP Dialogflow

January 19, 2023January 20, 2023ML, AI and Data Engineering, Studio-Scalaconversational AI, dialogflow, google framework, Machine Learning

Reading Time: 3 minutes Dialogflow is a GCP framework that enables users to develop easy human-computer interaction technologies that can support Natural Language Processing (NLP). Basically, Dialogflow handles the job of translating natural language to machine-readable data using machine-learning models trained by your examples. Why use GCP Dialogflow A few reasons to use Dialogflow are – Building Blocks of GCP Dialogflow AGENTS The agent is basically your entire chatbot Continue Reading

Let us know what is TensorFlow Lite Task Library

September 28, 2022October 20, 2022AI, ML, AI and Data Engineeringartifical intelligence, Machine Learning, python, task library, TensorFlow

Reading Time: 2 minutes TensorFlow Lite is a framework of software packages that enables ML training locally on the hardware. This on-device processing and computing allow developers to run their models on targeted hardware. The hardware includes development boards, hardware modules, and embedded and IoT devices. TensorFlow Lite Task Library contains a useful and powerful set of interfaces. That helps us handle most of the pre-processing and post-processing logic Continue Reading

Let’s know how to Convert the TensorFlow model to the TensorFlow Lite model

September 16, 2022September 16, 2022ML, AI and Data Engineeringartifical intelligence, Machine Learning, TensorFlow, tensorflow lite

Reading Time: 2 minutes TensorFlow Lite is TensorFlow’s lightweight solution for mobile and embedded devices. It allows you to run machine learning models on edge devices with low latency, eliminating the need for a server. After the development of the TensorFlow model, we can convert the same to a more efficient and smaller version by converting it into a Tflite model format. Let’s explore how. Conversion Workflow of TensorFlow Lite Continue Reading

Best Approach For Resume screening by Machine Learning-Part 1

August 8, 2022August 8, 2022Artificial intelligence, ML, AI and Data Engineeringartifical intelligence, KNN algorithm, Machine Learning, Natural language processing, python, tfidf vectorizer

Reading Time: 3 minutes Introduction Resume screening is the process of determining whether a candidate is qualified for a role based on his or her education, experience, and other information captured on their resume. It’s a form of pattern matching between a job’s requirements and the qualifications of a candidate based on their resume. The goal of screening resumes is to decide whether to move a candidate forward – Continue Reading

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

June 15, 2022June 16, 2022AI, Artificial intelligence, ML, AI and Data Engineering, python#ai, #computervision, #machinelearning, #opencv, #python, AI, Artificial intelligence, data analysis, data science, linux, technology

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?

May 10, 2022May 10, 2022AI, Artificial intelligenceartifical intelligence, Computer Vision, Machine Learning

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?

May 4, 2022May 4, 2022AI, ML, AI and Data Engineering, python, Studio-Scala#mongodb, #NoSQL, #pymongo, #python, rdbms

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

February 22, 2022February 22, 2022AI, ML, AI and Data Engineering#continuallearning, #machinelearning, python

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?

February 22, 2022February 22, 2022AI, ML, AI and Data Engineering#ai, #featureselection, #machinelearning

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?

February 8, 2022February 8, 2022AI, Artificial intelligence, ML, AI and Data EngineeringAI, Artificial intelligence, Machine Learning, Machine Learning Pipeline, python, TensorFlow, tensorflow extended, tfx

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

December 28, 2021December 28, 2021AI, Artificial intelligence, ML, AI and Data Engineering, python

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

November 12, 2021December 7, 2021ML, AI and Data Engineering, pythondlpclient, gcloud, infotypes

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