Analytics Vidhya

Top Blockchain Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that preserves a record of digital asset ownership. It is a means to save data and information in a secure digital format.

Blockchain : Proof-of-Stake (PoS)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Proof-of-stake is a cryptocurrency consensus mechanism for processing transactions and creating new blocks in the blockchain.

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Book your Seats now for Upcoming DataHour Sessions

Analytics Vidhya

Introduction Data science is the study of data to gain important business insights. It combines concepts and methods from the domains of mathematics, statistics, AI, and computer engineering.

Data Warehousing with Snowflake and Other Alternatives

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Over the past few years, Snowflake has grown from a virtual unknown to a retailer with thousands of customers.

Supply Chain Strategy (And Why Yours Isn't Working)

Speaker: Michelle Meyer, Founder and CEO of MatterProviders

Michelle Meyer is here to walk you through the future of supply chain strategy, and why your current approach is probably not working. In this exclusive webinar, she will explore ways to develop and perfect your new supply chain strategy in this post-pandemic era of uncertainty.

How is Big Data Helping in the Development of Healthcare?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

Automate Model Deployment with GitHub Actions and AWS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In a typical software development process, the deployment comes at the end of the software development life cycle.

Data Warehouse for the Beginners!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The concept of data warehousing dates to the 1980s. IBM is one name that easily enters the picture whenever long history in computer science is involved.

Dummies Guide to Writing a Custom Loss Function in Tensorflow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever encountered a situation where you felt to use a custom loss function in your machine learning model?

Non-Generalization Principles and Transfer Learning Technique

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The ability to reimplement a skill or knowledge from one, the original knowledge bearer, to a new knowledge “needer”, is referred to as transfer learning. These could be skilled in math, music, or cookery.

Can Voice Conversion Improve ASR in Low-Resource Settings?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Voice conversion (VC) can be used to improve the performance of speech recognition systems in low-resource languages by augmenting limited training data.

The Top 5 Business Outcomes Companies Can Achieve From Monitoring Consolidation

In this eBook, learn what the top five business outcomes are that organizations see when leveraging Datadog's end-to-end monitoring tool.

Underlying Engineering Behind Alexa’s Contextual ASR

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Conventionally, an automatic speech recognition (ASR) system leverages a single statistical language model to rectify ambiguities, regardless of context.

Classify Images of IRIS Dataset and Hyperparameters

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever thought about how machines can tell whether a person has a disease or not by just analyzing their images?

The Origin of Big Data Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Big data is now an unreplaceable part of tech giants and businesses. Business applications range from customer fraud detection to personalization with extensive data analytics dashboards.

Sentiment Analysis on Flipkart Dataset

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Sentiment Analysis is key to determining the emotion of the reviews given by the customer.

Principal Component Analysis Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

5 Powerful Prescriptive Analytics Examples in Supply Chain

Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action. Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Read about 5 use cases.

5 Water Management Solutions Powered by IoT and AI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: artificialintelligence.oodles.io Introduction Water management is the management of the water resources available on earth.

IoT 200

Web Scrapping- Tool for Data Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever thought of a means to get new data? The usefulness of the topic is one that easily helps other disciplines.

AWS Braket: The Quantum Computing Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction AWS named the service after a standard quantum notation called Braket, created in the late 1930s by Paul Dirac, a famous theoretical physicist.

DeepMind’s PLATO Learns Physics From Videos!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Although artificial intelligence (AI) has made some impressive strides in recent years, it is evident that most of this development is confined to specific fields.

Gain a Competitive Edge: The Importance of a Supplier Diversity Program

Speaker: Rod Robinson, SVP of the Supplier Diversity Practice, Insight Sourcing Group

In this exclusive webinar, Rod Robinson, SVP of the Supplier Diversity Practice Lead & Center of Excellence at Insight Sourcing Group, dives into the key benefits corporations are seeing emerge from their supplier diversity programs, and how you can gain unique competitive advantages with a supplier diversity program of your own.

Upcoming DataHour Sessions: Book your Calendars!

Analytics Vidhya

Introduction Data science is a practical subject that the experts can best explain in the field. To provide our community with a better understanding of how different elements of the subject are used in different domains, Analytics Vidhya has launched our DataHour sessions.

Image Classification Using Resnet-50 Deep Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

How to Deploy a Machine learning model on AWS EC2

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction AWS is a cloud computing service that provides on-demand computing resources for storage, networking, Machine learning, etc on a pay-as-you-go pricing model.

Blockchain Technology and its Types

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets.

Getting Started With Scenario Modeling in Supply Chain Network Design

To build your supply chain’s agility and responsiveness, you need to look at scenarios more frequently instead of relying on a single plan. Let’s explore how you can apply scenario modeling in supply chain network design.

Hindi Character Recognition on Android using TensorFlow Lite

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you ever wanted to build an image classifier for text recognition, I’m assuming you probably must have implemented the classic Handwritten Digit Recognition application from TensorFlow’s official examples.

How to Use Data to Drive Your Marketing Strategy

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the era of big data, it’s no surprise that more and more marketers are using data science in marketing to better position their brands, products, and services in today’s hyper-competitive marketplace.

An Enterprise Data Strategy for Building the Trustworthy AI Practice

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Photo by Christina Morillo from Pexels Introduction The current decade is a time of unprecedented growth in data-driven technologies with unlimited opportunities.

Understanding Word Embeddings and Building your First RNN Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is one of the hottest fields in the past decade, with applications in industry and research.

Modernizing Workloads with the Cloud: How to Improve Performance & Reduce Costs

In this eBook, you’ll learn how to migrate workloads to Azure and optimize performance for your serverless and containerized applications in Azure.

Interacting with Remote Databases – PostgreSQL and DBAPIs

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction When creating data pipelines, Software Engineers and Data Engineers frequently work with databases using Database Management Systems like PostgreSQL.

Top 7 Cloud Computing Prerequisites to Learn in 2022

Analytics Vidhya

Introduction If I have to place the finger at any lucrative and promising domains ruling the trending job market at the moment, it has to be Cloud Computing. The scope of cloud computing is only moving faster, strength by strength, and has a brighter future ahead for everyone.

Basic Concept Behind Apache Hive and Elasticsearch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction I’ve always wondered how big companies like Google process their information or how companies like Netflix can perform searches in concise times.

Data Warehouses: Basic Concepts for data enthusiasts

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting.

Secure Your Supply Chain: How to Build Resiliency for the Future

Speaker: Bart Huthwaite, Principal, RSM, Operations and Supply Chain

In this webinar, Bart Huthwaite will explore best practices in building and improving supply chain resilience for a successful and productive future.

Complete Introduction to DAX in Power BI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you’re new to Power BI Desktop, this post is for you. You’ll learn the fundamentals of Data Analysis Expressions (DAX) and how to apply them to common math and data analysis tasks in no time.

All you Need to Know About AutoEncoders in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As the world develops rapidly with advances in machine learning and artificial intelligence, we will soon face a situation of uncontrollable data augmentation.

Interview Questions on NLP Fundamentals

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As everyone knows, natural language processing is one of the most competitive and hot fields in today’s global tech sector.

Most Frequently Asked NLP Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

Best Practices to Model Carbon Costs in Supply Chain Network Design

How to model carbon costs in your supply chain design? Make conscious choices by comparing scenarios indicating at which points in the supply chain carbon emissions occur and achieve the right balance between sustainability and cost.