Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Are you fed up with waiting in long lines to speak with a customer support representative? Can you recall the last time you interacted with customer service? There’s a chance you were contacted by a bot rather than human customer support professional. We […]. The post Creating ChatBot Using Natural Language Processing in Python appeared first on Analytics Vidhya.

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Eugene Yan

DECEMBER 1, 2021

Daliana and I had a 2hr chat on all things data science and machine learning.

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DeepMind

DECEMBER 7, 2021

Language, and its role in demonstrating and facilitating comprehension - or intelligence - is a fundamental part of being human. It gives people the ability to communicate thoughts and concepts, express ideas, create memories, and build mutual understanding. These are foundational parts of social intelligence. It’s why our teams at DeepMind study aspects of language processing and communication, both in artificial agents and in humans.

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Dlabs.ai

DECEMBER 9, 2021

Natural language processing (NLP) is a core part of artificial intelligence. There’s plenty of literature that covers the topic. But how can you find the best books on NLP? A simple solution is to ask the experts. Which is why we’ve prepared our top-ten list of must-read books (and eBooks!) on NLP. We’re confident each one will help you build or broaden your knowledge and, ultimately, develop your skills in this field.

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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

Explosion

DECEMBER 30, 2021

The year 2021 is coming to an end, and like the previous year, it was shaped by unique challenges that impacted our work together. For Explosion, it was a very productive year. We found an investor that fits our strategy, we released spaCy v3, the work on Prodigy Teams is in full swing, and the team has grown a lot. So here’s our look back at our highlights of the year 2021.

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Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon The math behind Neural Networks Neural networks form the core of deep learning, a subset of machine learning that I introduced in my previous article. People exposed to artificial intelligence generally have a good high-level idea of how a neural network works?—?data is passed […].

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Wisdom Works

DECEMBER 20, 2021

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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DeepMind

DECEMBER 8, 2021

Solving some of the major challenges of the 21st Century, such as producing clean electricity or developing high temperature superconductors, will require us to design new materials with specific properties. To do this on a computer requires the simulation of electrons, the subatomic particles that govern how atoms bond to form molecules and are also responsible for the flow of electricity in solids.

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Dlabs.ai

DECEMBER 22, 2021

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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Business Intelligence

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 ?.

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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!!!

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Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. [link] Overview In this article, we will detail the need for data scientists to quickly develop a Data Science App, with the objective of presenting to their users and customers, the results of Machine Learning experiments. We have detailed a roadmap for the […]. The post Building an End- to-End Data Science App with Python appeared first on Analytics Vidhya.

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Wisdom Works

DECEMBER 20, 2021

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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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

DeepMind

DECEMBER 8, 2021

Solving some of the major challenges of the 21st Century, such as producing clean electricity or developing high temperature superconductors, will require us to design new materials with specific properties. To do this on a computer requires the simulation of electrons, the subatomic particles that govern how atoms bond to form molecules and are also responsible for the flow of electricity in solids.

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Sebastian Ruder

DECEMBER 6, 2021

This post expands on the EMNLP 2021 tutorial on Multi-domain Multilingual Question Answering. The tutorial was organised by Avi Sil and me. In this post, I highlight key insights and takeaways of the tutorial. The slides are available online. You can find the table of contents below: Introduction Open-Retrieval QA vs Reading Comprehension What is a Domain?

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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.

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Shreyansh Singh

DECEMBER 11, 2021

Motivation Privacy-preserving Machine Learning had always been exciting for me. Since my B.Tech. thesis involving PPML (SMPC + Computer Vision), I didn’t get a chance to work on it after that. So, after about 2 years, I have started to read about it again, and sharing it with the community. Federated Learning is a domain that I had somewhat eluded during my thesis.

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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 29, 2021

This article was published as a part of the Data Science Blogathon Welcome to my guide! In this guide, we will cover basic as well as advanced topics involved in Deep Learning. This guide will help you in gaining confidence in the concepts of Deep Learning. So let’s begin with our journey! Why do we need […]. The post A Guide on Deep Learning: From Basics to Advanced Concepts appeared first on Analytics Vidhya.

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OpenAI

DECEMBER 16, 2021

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

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DeepMind

DECEMBER 7, 2021

We show that imitation learning of human-human interactions in a simulated world, in conjunction with self-supervised learning, is sufficient to produce a multimodal interactive agent, which we call MIA, that successfully interacts with non-adversarial humans 75% of the time. We further identify architectural and algorithmic techniques that improve performance, such as hierarchical action selection.

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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.

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Explosion

DECEMBER 30, 2021

The year 2021 is coming to an end, and like the previous year, it was shaped by unique challenges that impacted our work together. For Explosion, it was a very productive year. We found an investor that fits our strategy, the work on Prodigy Teams is in full swing, and the team has grown a lot. So here's our look back at our highlights of the year 2021.

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Analytics Vidhya

DECEMBER 28, 2021

This article was published as a part of the Data Science Blogathon Source: Vision Image Overview Deep learning is the most powerful method used to work on vision-related tasks. Convolutional Neural Networks or convents are a type of deep learning model which we use to approach computer vision-related applications. In this guide, we will explore how […].

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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.

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Analytics Vidhya

DECEMBER 24, 2021

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 […].

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Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

Analytics Vidhya

DECEMBER 21, 2021

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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Analytics Vidhya

DECEMBER 29, 2021

This article was published as a part of the Data Science Blogathon Overview This Pokemon will analyze the pokemon dataset and predict whether the Pokemon is legendary based on the features provided. We will discuss everything from scratch; we will go from CSV to model building with line by line explanation of code. Let’s get started. Image […].

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Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon Table of Contents Overview What is Regression? Independent Variables Dependent Variables Linear Regression The Equation of a Linear Regression Types of Linear Regression Simple Linear Regression Multiple Linear Regression How is a simple linear equation used in the ML Linear Regression algorithm?

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