July, 2021

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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.

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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?

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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.

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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.

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How To Get Promoted In Product Management

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.

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When Is “Good” Good Enough for AI?

Lexalytics

Popular media and hype cycles are leading us to expect radical changes and perfect results from artificial intelligence. But you don’t read perfectly, so why should your AI? Let’s explore when “good” is good enough for AI. You don’t read perfectly, so why should your AI? We have high expectations of AI. If it doesn’t spit out a flawless output, it’s not good enough.

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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.

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

Eugene Yan

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

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Enabling high-accuracy protein structure prediction at the proteome scale

DeepMind

Many novel machine learning innovations contribute to AlphaFold’s current level of accuracy. We give a high-level overview of the system below; for a technical description of the network architecture see our AlphaFold methods paper and especially its extensive Supplementary Information.

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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.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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.

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

Eleuther.ai

A look back at the first year of EleutherAI.

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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.

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Mailbag: How to Bootstrap Labels for Relevant Docs in Search

Eugene Yan

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

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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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.

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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.

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? spacy-huggingface-hub v0.0.1

Explosion

? Push your spaCy pipelines to the Hugging Face Hub - GitHub - explosion/spacy-huggingface-hub: ?

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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.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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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.

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Influencing without Authority for Data Scientists

Eugene Yan

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

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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.

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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.

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Brick & Mortar Retail Relevance: How to Stay Ahead of the Curve

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

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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.

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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.

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Understanding RNN Step by Step with PyTorch

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, we will learn very basic concepts of. The post Understanding RNN Step by Step with PyTorch appeared first on Analytics Vidhya.

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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.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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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.

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Python Generators and Iterators in 2 Minutes for Data Science Beginners

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We are continuing our Python: Understanding in 2 minutes series. The post Python Generators and Iterators in 2 Minutes for Data Science Beginners appeared first on Analytics Vidhya.

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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.