Analytics Vidhya

DECEMBER 11, 2021

This article was published as a part of the Data Science Blogathon In this world, Agriculture and farming are some of the oldest professions. As the population grows high, the need to grow and yield more, better crops and the best quality also increases. New technologies like Artificial Intelligence (AI) and Blockchain come in handy. To […]. The post Artificial Intelligence (AI): The Ultimate Solution in Agriculture appeared first on Analytics Vidhya.

Artificial Intelligence 386

Artificial Intelligence Artificial Intelligence Data Science AI 386

Shreyansh Singh

DECEMBER 17, 2021

In my last post, I covered a high-level overview of Federated Learning, its applications, advantages & challenges. We also went through a high-level overview of how Federated Optimization algorithms work. But from a mathematical sense, how is Federated Learning training actually performed? That’s what we will be looking at in this post. There was a paper , Communication-Efficient Learning of Deep Networks from Decentralized Data by Google (3637 citations!!!

Algorithm 52

Algorithm Deep Learning Explainability 52

Explosion

DECEMBER 14, 2021

Create better access to health with machine learning and natural language processing. Read about the journey of developing Healthsea, an end-to-end spaCy pipeline for analyzing user reviews to supplementary products and extracting their potential effects on health. ? Hello everyone, my name is Edward! I’m a machine learning engineer at Explosion, and together with our fantastic team , we’ve been working on Healthsea to further expand the spaCy universe ?.

NLP 52

NLP Machine Learning Natural Language Processing Computer Vision 52

OpenAI

DECEMBER 16, 2021

We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.

52

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

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon + Image 1 Overview This article will support data scientists in furthering their studies on artificial neural networks so that they can develop applications for professional use. We introduce the concept of ANN, from the Perceptron device, we conceptualize input neurons, functions, and activation […].

Neural Network 376

Neural Network Data Scientist Data Science Deep Learning 376

Explosion

DECEMBER 13, 2021

To demonstrate the performance of spaCy v3.2, we present a series of UD benchmarks comparable to the Stanza and Trankit evaluations on Universal Dependencies v2.5 , using the evaluation from the CoNLL 2018 Shared Task. The benchmarks show the competitive performance of spaCy’s core components for tagging, parsing and sentence segmentation and also let us highlight and evaluate the new edit tree lemmatizer.

Python 52

Python Metadata NLP 52

The Stanford AI Lab Blog

DECEMBER 17, 2021

TL;DR Want something better than (k)-means? Our state-of-the-art (k)-medoids algorithm from NeurIPS, BanditPAM, is now publicly available! (texttt{pip install banditpam}) and you're good to go! Like the (k)-means problem, the (k)-medoids problem is a clustering problem in which our objective is to partition a dataset into disjoint subsets. In (k)-medoids, however, we require that the cluster centers must be actual datapoints, which permits greater interpretability of the cluster centers.

Algorithm 40

Algorithm Python ML 40

Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction In the past few years, Natural language processing has evolved a lot using deep neural networks. Many state-of-the-art models are built on deep neural networks. BERT (Bidirectional Encoder Representations from Transformers) is a very recent work published by Google AI Language researchers.

BERT 366

BERT Neural Network Natural Language Processing Data Science 366

Analytics Vidhya

DECEMBER 15, 2021

Introduction While we bid adieu to 2021, one should not fail to acknowledge the fact that it was another crazy year in the history of humanity. We all aged simultaneously with a never-ending pandemic turning up with new variants every now and then. Coming to data science, 2021 was a very incremental year for this […]. The post A Review of 2021 and Trends in 2022 – A Technical Overview of the Data Industry!

Data Science 355

Data Science Computer Vision Deep Learning NLP 355

Advertisement

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Analytics Vidhya

DECEMBER 13, 2021

Introduction 2021 is a year that proved nothing is better than a Proof of Work to evaluate any candidate’s worth, initiative, and skill. Pursuing any data science project will help you polish your resume. These projects will not only deepen an understanding of the concepts but also, help you gain some practical experience in the […]. The post Top Data Science Projects to add to your Portfolio in 2021 appeared first on Analytics Vidhya.

Data Science 351

Data Science Data Mining Deep Learning NLP 351

Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon What is object detection? Cf the many Computer Vision cognitive application, object detection is one of the highly used techniques to identify and locate objects in images and videos. As the name suggests – ‘Computer Vision’, is the ability for computers to acquire human-like […].

Computer Vision 343

Computer Vision Data Science Python 343

Analytics Vidhya

DECEMBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, I will explain to you about using Yolo v5 Algorithm for Detecting & Classifying different types of 60+ Road Traffic Signs. We will start from very basic and covers each step like Preparation of Dataset, Training, and Testing. In this article, […].

Algorithm 342

Algorithm Explainability Data Science Computer Vision 342

Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the dataset Introduction Making predictions about the future from historical data available (time series forecasting) is a very important tool with a wide variety of applications like product demand forecasting, weather, and climate forecasting, forecasting in the healthcare sector, etc. There are two main approaches to time series […].

Python 329

Python 329

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

AI

Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, We will develop an End to End project which will be based on Pure Deep Learning. I’m using Pure term here, the reason you’ll come to know in my further articles. The reason behind building this project is to detect […]. The post End to End Potato Leaf Disease Prediction Project – A Complete Guide appeared first on Analytics Vidhya.

Deep Learning 337

Deep Learning Data Science Python 337

Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Overview CATBOOST is an open-source machine learning library developed by a Russian search engine giant Yandex. One of the prominent aspects of catboost is its ability to handle missing data and categorical data without encoding but will get to that later. It makes feature […].

Categorization 315

Categorization Machine Learning Data Science Python 315

Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Image Credit: istockphoto Hello Siri!, what the time. This sound will sound familiar to most of us as we practically use mobile phones 24*7. I don’t really remember the last time I typed any query on the google search engine I just simply ask […]. The post An End-End Guide for Speech Recognition in Python appeared first on Analytics Vidhya.

Python 314

Python Data Science NLP 314

Analytics Vidhya

DECEMBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction In today’s digital world, social media platforms like Facebook, Whatsapp, Twitter have become a part of our everyday schedule. Many NLP techniques can be used on the text data available from Twitter. Sentiment analysis refers to the idea of predicting the sentiment ( […].

NLP 299

NLP Data Science Python Machine Learning 299

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction If you want to make charts like the above one so let’s get to know about the amazing Pyecharts library. Generally, the bar chart which we use of matplotlib library is static and there are very few parameters to tweak to make it […]. The post PyeChart Data Visualization Library for Enhanced Visuals appeared first on Analytics Vidhya.

Data Science 225

Data Science Python 225

Explosion

DECEMBER 14, 2021

Create better access to health with machine learning and natural language processing. Read about our journey of developing Healthsea, an end-to-end spaCy pipeline for analyzing user reviews to supplement products and extracting potential effects on health.

Natural Language Processing 40

Natural Language Processing Machine Learning 40

Explosion

DECEMBER 13, 2021

We present Universal Dependencies v2.5 benchmarks for spaCy v3.2 that show the competitive performance of spaCy in a direct comparison with Stanza and Trankit using the end-to-end evaluation from the CoNLL 2018 Shared Task.

40

40