Sat.Dec 18, 2021 - Fri.Dec 24, 2021

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Intent Classification with Convolutional Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Text classification is a machine-learning approach that groups text into pre-defined categories. It is an integral tool in Natural Language Processing (NLP) used for varied tasks like spam and non-spam email classification, sentiment analysis of movie reviews, detection of hate speech in social […].

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All AI Wants For Christmas Is (To Help) You

Dlabs.ai

The magical time of year is finally here. Landscapes sit buried beneath snow, lights twinkle from rooftops, spruces have become Christmas trees once again. Children are building snowmen in front gardens as parents make a last-minute dash to the store in search of that perfect gift — but while the seasonal cheer is out in full force, there’s still a sense of stress in the air.

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CEO Annual Statement – 2021

Wisdom Works

Outstanding performance across all divisions, rapid growth of both revenues and number of clients. Our focus remains on AI based innovation driven disruption to provide sustained differentiated competitor advantage for our clients and our own products and services. Annual Statement 2021 has been a challenging year for us all. The environment has made it difficult from a customer acquisition perspective, with business development lead-times being longer than normal.

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MLOPs Operations: A beginner’s Guide | Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction According to a report, 55% of businesses have never used a machine learning model before. Eighty-Five per cent of the models will not be brought into production. Lack of skill, a lack of change-management procedures, and the absence of automated systems are some […].

Python 399
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Anomaly Detection Model on Time Series Data in Python using Facebook Prophet

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Time series data is the collection of data at specific time intervals like on an hourly basis, weekly basis. Stock market data, e-commerce sales data is perfect example of time-series data. Time-series data analysis is different from usual data analysis because you can […].

Python 392

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Building a custom CNN model: Identification of COVID-19

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Dear readers, In this blog, let’s build our own custom CNN(Convolutional Neural Network) model all from scratch by training and testing it with our custom image dataset. This is, of course, mostly considered a more impressive work rather than training a pre-trained CNN model […].

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Complete NLP Landscape from 1960 to 2020

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Hello and welcome to the interesting article that revolves around a very cheesy and hot topic in trending technologies which is NLP(Natural Language Processing). In this article, we will learn what exactly is NLP, what makes it complex to learn and what challenges do […]. The post Complete NLP Landscape from 1960 to 2020 appeared first on Analytics Vidhya.

NLP 364
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12 Data Plot Types for Visualisation from Concept to Code

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction When data is collected, there is a need to interpret and analyze it to provide insight into it. This insight can be about patterns, trends, or relationships between variables. Data interpretation is the process of reviewing data through well-defined methods. They help assign meaning […].

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A Comprehensive Guide on Markov Chain

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview · Markovian Assumption states that the past doesn’t give a piece of valuable information. Given the present, history is irrelevant to know what will happen in the future. · Markov Chain is a stochastic process that follows the Markovian Assumption. · Markov chain […].

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Real-Life Applications of Data Science in Education

Analytics Vidhya

Introduction While the Data Science industry is booming, it is still very nascent but very promising. This industry is expected to grow by 26% by 2026, and data science as a field is still unknown to most of us. Let me give you an example when you’re travelling to an unknown place for the first time. […]. The post Real-Life Applications of Data Science in Education appeared first on Analytics Vidhya.

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Traffic Signs Recognition using CNN and Keras in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this era of Artificial Intelligence, humans are becoming more dependent on technology. With the enhanced technology, multinational companies like Google, Tesla, Uber, Ford, Audi, Toyota, Mercedes-Benz, and many more are working on automating vehicles. They are trying to make more accurate autonomous […].

Python 353
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Tensorflow For GPU Computations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this article, we are going to learn how we can enable tensorflow for GPU Computations. Okay, let’s face it, Deep Learning Models are data-hungry and are often huge require a lot of computation power to train. Doing so on our device CPU […]. The post Tensorflow For GPU Computations appeared first on Analytics Vidhya.

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Step by Step Guide to Build Image Caption Generator using Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Whenever an image appears in front of us our brain is capable of annotating or labeling it. But, what about computers? How can a machine process an image and label it with a highly relevant and accurate caption? It seemed quite impossible a few […]. The post Step by Step Guide to Build Image Caption Generator using Deep Learning appeared first on Analytics Vidhya.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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What is Customer Analytics and Why is it important?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Businesses and Companies have a lot of customers these days. The number of customers widely vary. It might be in hundreds for a local grocery store, and it may be in millions for a national bank or an insurance company. Companies like Google and […]. The post What is Customer Analytics and Why is it important?

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A Comprehensive Guide on Fourier Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview The importance of the Fourier analysis is paramount. It is one of the pillars of engineering, and we can say it is a study of “atoms of waves” Pretty much anything you can imagine which has a spectral decomposition interpretation, from mechanical engineering […].

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Multiclass Classification Using Transformers for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In the last article, we have discussed implementing the BERT model using the TensorFlow hub; you can read it here. Implementing BERT using the TensorFlow hub was tedious since we had to perform every step from scratch. First, we build our tokenizer, then […]. The post Multiclass Classification Using Transformers for Beginners appeared first on Analytics Vidhya.

BERT 343
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Introduction to Linear Model for Optimization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Optimization Optimization provides a way to minimize the loss function. Optimization aims to reduce training errors, and Deep Learning Optimization is concerned with finding a suitable model. Another goal of optimization in deep learning is to minimize generalization errors. In this article, we will […].

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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Malaria Cell Image Classification – An End-to-End Prediction

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview This article will discuss building a system that can detect malaria from cell images. The plan will be created in the form of a web application that can make it easier for users and even make it easier for developers who make […]. The post Malaria Cell Image Classification – An End-to-End Prediction appeared first on Analytics Vidhya.

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A practical Guide on Google Sheet API Integration with python API using Google Cloud Platform

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction: Good day to everyone! I hope everybody is doing well. Today, we’ll look at how to integrate Google Sheets with the Python programming language. In the guide below, we’ll be exploring how to use google sheets with python API. What are Google […]. The post A practical Guide on Google Sheet API Integration with python API using Google Cloud Platform appeared first on Analytics Vidhya.

Python 335
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Disaster Tweet Classification using BERT & Neural Network

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Text classification is one of the most interesting domains today. From chatbot systems to movies recommendations to sentence completion, text classification finds its applications in one form or the other. In this article, we are going to use BERT along with a neural […].

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What’s Happening in Backpropagation? A Behind the Scenes Look at Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Training the Black Box The previous article was all about forward propagation in neural networks, how it works and why it works. One of the important entities in forward propagation is weights. We saw how tuning the weights can take advantage of the non-linearity […]. The post What’s Happening in Backpropagation?

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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A Comprehensive Guide on Types of Generative Adversarial Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Well! Christmas is near and the Generative Adversarial Networks (GANs) are here:) I am sure everyone here heard the term GAN or at least dataset generation, image generation, music generation, etc. These all can be achieved using the GANs. Then, what are GANs? […]. The post A Comprehensive Guide on Types of Generative Adversarial Networks appeared first on Analytics Vidhya.

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Everything a Beginner Should Know About Polymorphism in Python[With Examples]

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Assume there is a class called animal, but within that class, there are numerous forms such as dog, cat, and cow. That is, a common class animal consists of a variety of forms that come in a variety of shapes and sizes and […]. The post Everything a Beginner Should Know About Polymorphism in Python[With Examples] appeared first on Analytics Vidhya.

Python 294
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CEO Annual Statement – 2021

Wisdom Works

Outstanding performance across all divisions, rapid growth of both revenues and number of clients. Our focus remains on AI based innovation driven disruption to provide sustained differentiated competitor advantage for our clients and our own products and services. Annual Statement 2021 has been a challenging year for us all. The environment has made it difficult from a customer acquisition perspective, with business development lead-times being longer than normal.