Analytics Vidhya

NOVEMBER 12, 2021

This article was published as a part of the Data Science Blogathon This article starts by discussing the fundamentals of Natural Language Processing (NLP) and later demonstrates using Automated Machine Learning (AutoML) to build models to predict the sentiment of text data. Other applications of NLP are for translation, speech recognition, chatbot, etc.

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Natural Language Processing Machine Learning Automation NLP 396

Eugene Yan

NOVEMBER 6, 2021

Susan shares 5 lessons she gained from writing online in public over the past year.

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DeepMind

NOVEMBER 8, 2021

Our brain has an amazing ability to process visual information. We can take one glance at a complex scene, and within milliseconds be able to parse it into objects and their attributes, like colour or size, and use this information to describe the scene in simple language. Underlying this seemingly effortless ability is a complex computation performed by our visual cortex, which involves taking millions of neural impulses transmitted from the retina and transforming them into a more meaningful f

Deep Learning 57

Deep Learning 57

James Thorn

NOVEMBER 7, 2021

Learn how to contribute to the Parchain auction of the Acala team and the possible ROI of the Investment Continue reading on Medium »

Explainability 52

Explainability 52

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Analytics Vidhya

NOVEMBER 12, 2021

This article was published as a part of the Data Science Blogathon Introduction Hey all, I am sure you must have played pokemon games at some point in time and must have hated the issue of creating an optimal and balanced team to gain an advantage. What if I say one can do this by having […]. The post Optimizing Pokemon Team using Python’s PuLP Library appeared first on Analytics Vidhya.

Python 377

Python Data Science Machine Learning 377

Analytics Vidhya

NOVEMBER 11, 2021

This article was published as a part of the Data Science Blogathon INTRODUCTION Investing is an important part of one’s life because Investing helps in making the present and future safety, it allows you to grow financially. Also, investing is a process of compounding profits. Investing money at the right place and right time helps in increasing […].

Data Science 374

Data Science Data Mining Python 374

Analytics Vidhya

NOVEMBER 9, 2021

This article was published as a part of the Data Science Blogathon In this article, I am going to build multiple neural network models to solve a regression problem. Before we start working on the model, I would like to give a brief overview of what we will touch on and what steps we will follow. […]. The post Neural Network for Regression with Tensorflow appeared first on Analytics Vidhya.

Neural Network 375

Neural Network Data Science Deep Learning Python 375

Analytics Vidhya

NOVEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Image Source: Author Introduction to Fitness Tracker Market With the advancements in the IT domain, wearable devices have been in great demand in the recent past. A wearable device is simply a device that can be worn by the user and this device is […]. The post How To Use Python To Analyse Fitness Tracker Market: Step By Step EDA appeared first on Analytics Vidhya.

Python 372

Python Data Science 372

Analytics Vidhya

NOVEMBER 8, 2021

This article was published as a part of the Data Science Blogathon Overview of Linear Regression “Without understanding the engine, building or working with a car is just playing with metal” This seems to be true in almost all domains of life, without fundamentals; creation and innovation are simply not possible. In this guide, we will […].

Data Science 357

Data Science Deep Learning Python 357

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Analytics Vidhya

NOVEMBER 9, 2021

This article was published as a part of the Data Science Blogathon Introduction to Regularization During the Machine Learning model building, the Regularization Techniques is an unavoidable and important step to improve the model prediction and reduce errors. This is also called the Shrinkage method. Which we use to add the penalty term to control the complex […].

Machine Learning 348

Machine Learning Data Science Python 348

Analytics Vidhya

NOVEMBER 6, 2021

This article was published as a part of the Data Science Blogathon. Table of contents Introduction What is Microsoft Power BI? Microsoft Power BI Concepts Data sources in Microsoft Power BI Import Excel Data to Microsoft Power BI Query Editor Inbuilt visuals Conclusion Introduction There is so much data collected in businesses and industries today. […].

Data Science 354

Data Science 354

Analytics Vidhya

NOVEMBER 6, 2021

This article was published as a part of the Data Science Blogathon. Introduction In the field of Data Science, the most important thing is to prepare the data or clean the data for further model building, data exploration, or data visualization, etc. For this Pandas is a very powerful library in python because it has […]. The post A Simple Guide to Pandas Dataframe Operations appeared first on Analytics Vidhya.

Data Science 349

Data Science Python 349

DeepMind

NOVEMBER 8, 2021

Our brain has an amazing ability to process visual information. We can take one glance at a complex scene, and within milliseconds be able to parse it into objects and their attributes, like colour or size, and use this information to describe the scene in simple language. Underlying this seemingly effortless ability is a complex computation performed by our visual cortex, which involves taking millions of neural impulses transmitted from the retina and transforming them into a more meaningful f

Deep Learning 57

Deep Learning 57

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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James Thorn

NOVEMBER 7, 2021

A deep dive into how to participate and an analysis of the top candidates and the possible ROI Continue reading on Medium »

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