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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Data Science Machine Learning 400

Eugene Yan

DECEMBER 1, 2021

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

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Data Scientist ML Machine Learning Data Science 130

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: 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.

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 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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Convolutional Neural Networks Neural Network Natural Language Processing NLP 400

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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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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Generative AI

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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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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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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Python Machine Learning Data Science Automation 399

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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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.

LLM

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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AI AI 57

The Stanford AI Lab Blog

DECEMBER 6, 2021

The thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) 2021 is being hosted virtually from Dec 6th - 14th. We’re excited to share all the work from SAIL that’s being presented at the main conference , at the Datasets and Benchmarks track and the various workshops , and you’ll find links to papers, videos and blogs below. Some of the members in our SAIL community also serve as co-organizers of several exciting workshops that will take place on Dec 13-14, so we hope you wil

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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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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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Algorithm Deep Learning Explainability 52

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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.

Data Science 400

Data Science Python Data Scientist Machine Learning 400

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.

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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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Algorithm Python ML 40

Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

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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Neural Network Deep Learning Artificial Intelligence Artificial Intelligence 400

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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Natural Language Processing Chatbots Python Data Science 400

Analytics Vidhya

DECEMBER 6, 2021

This article was published as a part of the Data Science Blogathon. ” The only way to test the hypothesis is to look for all the information that disagrees with it – Karl Popper“ Hypothesis Testing comes under a broader subject of Inferential Statistics where we use data samples to draw inferences on the population […]. The post Understanding hypothesis testing through an end to end case study appeared first on Analytics Vidhya.

Data Science 398

Data Science 398

Analytics Vidhya

DECEMBER 8, 2021

Introduction Our long-time followers know how much writing is at the core of this organization. After all, writing data science articles is from where it all started. And with each passing year, we have achieved nothing short of miracles with this intention to teach people with our words. At the end of 2021, we are […]. The post Top 10 Articles Published in 2021 on Analytics Vidhya appeared first on Analytics Vidhya.

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Data Science Neural Network Algorithm Python 398

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Data Analysis

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 […].

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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 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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