July, 2021

article thumbnail

How much Mathematics do you need to know for Machine Learning?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image Source No matter how long-running a love-hate relationship you have. The post How much Mathematics do you need to know for Machine Learning? appeared first on Analytics Vidhya.

article thumbnail

SF Big Analytics - System Design for RecSys & Search

Eugene Yan

Why real-time RecSys? What does the system design look like in industry? How to build an MVP?

130
130
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Communal Computing’s Many Problems

O'Reilly Media

In the first article of this series, we discussed communal computing devices and the problems they create–or, more precisely, the problems that arise because we don’t really understand what “communal” means. Communal devices are intended to be used by groups of people in homes and offices. Examples include popular home assistants and smart displays like the Amazon Echo, Google Home, Apple HomePod, and many others.

article thumbnail

Generally capable agents emerge from open-ended play

DeepMind

In recent years, artificial intelligence agents have succeeded in a range of complex game environments. For instance, AlphaZero beat world-champion programs in chess, shogi, and Go after starting out with knowing no more than the basic rules of how to play. Through reinforcement learning (RL), this single system learnt by playing round after round of games through a repetitive process of trial and error.

article thumbnail

Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

article thumbnail

Top 10 Challenges Companies Face During AI Adoption

Dlabs.ai

Artificial intelligenc e is taking over the business world. McKinsey’s ‘The state of AI in 2020’ report estimates that 50% of companies already use AI in at least one function. And that only scratches the surface of what’s to come. Forecasts suggest that the revenues generated by artificial intelligence will double between 2020 and 2024 , signaling how many businesses will harness the technology in the name of growth.

More Trending

article thumbnail

Predicting The Wind Speed Using K-Neighbors Classifier

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Hi, all Analytics Vidhya readers. Hope you all are doing well. The post Predicting The Wind Speed Using K-Neighbors Classifier appeared first on Analytics Vidhya.

article thumbnail

Bootstrapping Labels via Supervision & Human-In-The-Loop

Eugene Yan

How to generate labels from scratch with semi, active, and weakly supervised learning.

100
100
article thumbnail

Welcome spaCy to the Hugging Face Hub

Explosion

Hugging Face makes it really easy to share your spaCy pipelines with the community! With a single command, you can upload any pipeline package, with a pretty model card and all required metadata auto-generated for you.

article thumbnail

Generally capable agents emerge from open-ended play

DeepMind

In recent years, artificial intelligence agents have succeeded in a range of complex game environments. For instance, AlphaZero beat world-champion programs in chess, shogi, and Go after starting out with knowing no more than the basic rules of how to play. Through reinforcement learning (RL), this single system learnt by playing round after round of games through a repetitive process of trial and error.

article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

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?

article thumbnail

5 Ways AI is Shaping the Future of Debt Collection

Dlabs.ai

The pandemic has led to a striking deterioration of finances, both for corporations and households alike. And if you need to contact debtors who fail to repay in time, you can use artificial intelligence and machine learning to support the process. In this post, we talk about how AI can improve debt collection, discussing the benefits of using it in your business.

article thumbnail

Microsoft365R: testers wanted

Revolutions

by Hong Ooi Microsoft365R author here. I've just updated the package on GitHub with the following features: Add support for shared mailboxes to get_business_outlook(). To access a shared mailbox, supply one of the arguments shared_mbox_id , shared_mbox_name or shared_mbox_email specifying the ID, displayname or email address of the mailbox respectively.

40
article thumbnail

Everything You Need To Know About PandasGUI

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction How many times you have used Pandas library for your. The post Everything You Need To Know About PandasGUI appeared first on Analytics Vidhya.

article thumbnail

Mailbag: How to Bootstrap Labels for Relevant Docs in Search

Eugene Yan

Building semantic search; how to calculate recall when relevant documents are unknown.

100
100
article thumbnail

From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

article thumbnail

Introducing spaCy v3.1

Explosion

It’s been great to see the adoption of spaCy v3 , which introduced transformer-based pipelines, a new config and training system and many other features. Version 3.1 adds more on top of it, including the ability to use predicted annotations during training, a component for predicting arbitrary and overlapping spans and new trained pipelines for Catalan and Danish.

BERT 52
article thumbnail

Putting the power of AlphaFold into the world’s hands

DeepMind

When we announced AlphaFold 2 last December, it was hailed as a solution to the 50-year old protein folding problem. Last week, we published the scientific paper and source code explaining how we created this highly innovative system, and today we’re sharing high-quality predictions for the shape of every single protein in the human body, as well as for the proteins of 20 additional organisms that scientists rely on for their research.

article thumbnail

ICML 2021 Invited Speakers — ML for Science

Machine Learning (Theory)

By: Stefanie Jegelka and Ameet Talwalkar (ICML21 Communication Chairs) With ICML 2021 underway, we wanted to briefly highlight the upcoming invited talks. A general theme of the invited talks this year is “ machine learning for science.” The Program Chairs (Marina Meila and Tong Zhang) have invited world-renowned scientists from various disciplines to discuss their problems and the corresponding machine learning challenges.

ML 40
article thumbnail

What A Long, Strange Trip It's Been: EleutherAI One Year Retrospective

Eleuther.ai

A look back at the first year of EleutherAI.

56
article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

article thumbnail

Python on Frontend: ML Models Web Interface With Brython

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine learning is a fascinating field and everyone wants to. The post Python on Frontend: ML Models Web Interface With Brython appeared first on Analytics Vidhya.

ML 400
article thumbnail

Influencing without Authority for Data Scientists

Eugene Yan

Show them the data, the Socratic method, earning trust, and more.

article thumbnail

Introducing spaCy v3.1

Explosion

It’s been great to see the adoption of spaCy v3, which introduced transformer-based pipelines, a new training system and more. Version 3.1 adds more on top of it, including the ability to use predicted annotations during training, a component for predicting arbitrary and overlapping spans and new pipelines for Catalan and Danish.

40
article thumbnail

Melting Pot: an evaluation suite for multi-agent reinforcement learning

DeepMind

Here we introduce Melting Pot, a scalable evaluation suite for multi-agent reinforcement learning. Melting Pot assesses generalisation to novel social situations involving both familiar and unfamiliar individuals, and has been designed to test a broad range of social interactions such as: cooperation, competition, deception, reciprocation, trust, stubbornness and so on.

57
article thumbnail

The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

article thumbnail

Understanding Natural Language Processing -A Beginner’s Guide

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Source: [link] Language is very important when we want to. The post Understanding Natural Language Processing -A Beginner’s Guide appeared first on Analytics Vidhya.

article thumbnail

Getting Started with Natural Language Processing using Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Why NLP? Natural Language Processing has always been a key tenet. The post Getting Started with Natural Language Processing using Python appeared first on Analytics Vidhya.

article thumbnail

Everything You Should Know About Built-In Data Structures in Python – A Beginner’s Guide!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Python Programming Language has been used worldwide for different fields such. The post Everything You Should Know About Built-In Data Structures in Python – A Beginner’s Guide! appeared first on Analytics Vidhya.

Python 397
article thumbnail

Anomaly detection using Isolation Forest – A Complete Guide

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Any data point/observation that deviates significantly from the other observations. The post Anomaly detection using Isolation Forest – A Complete Guide appeared first on Analytics Vidhya.

article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

article thumbnail

Creating Data Science Python Package using Jupyter Notebook

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image by Author | Photo by Shahadat Rahman | Elements. The post Creating Data Science Python Package using Jupyter Notebook appeared first on Analytics Vidhya.

article thumbnail

A Guide To Monte Carlo Simulation!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Monte Carlo simulation is a computational algorithm that makes use. The post A Guide To Monte Carlo Simulation! appeared first on Analytics Vidhya.

article thumbnail

An Intuitive and Easy Guide to Python Sets- Must for Becoming Data Science Professional

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In today’s world, in each and every domain, the utmost. The post An Intuitive and Easy Guide to Python Sets- Must for Becoming Data Science Professional appeared first on Analytics Vidhya.