August, 2021

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Must know Pandas Functions for Machine Learning Journey

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Do you wish you could perform this function using Pandas. Well, there is a good possibility you can! For data scientists who use Python as their primary programming language, the Pandas package is a must-have data analysis tool. The Pandas package has everything […].

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Amazon Science - Eugene Yan and the Art of Writing about Science

Eugene Yan

Why the Amazon applied scientist takes the time to break down his work for readers.

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Building architectures that can handle the world’s data

DeepMind

Most architectures used by AI systems today are specialists. A 2D residual network may be a good choice for processing images, but at best it’s a loose fit for other kinds of data — such as the Lidar signals used in self-driving cars or the torques used in robotics. What’s more, standard architectures are often designed with only one task in mind, often leading engineers to bend over backwards to reshape, distort, or otherwise modify their inputs and outputs in hopes that a standard architecture

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10 AI Events to Check in Fall & Winter 2021

Dlabs.ai

This last year has been challenging for us all. The world ground to a halt, making social contact little more than a daydream. But as society reopens, everything from sports events to business conferences are back on the agenda. And as you well know, the world of AI never sleeps. Meaning we all have a reason to attend at least one AI event in the upcoming months, so give this list a read to find what catches your eye.

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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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How to Automate the Generation of Training Data for Conversational Bots

Bitext

Everything looks promising in the world of bots: big players are pushing platforms to build them (Google, Amazon, Facebook, Microsoft, IBM, Apple), large retail companies are adopting them (Starbucks, Domino’s, British Airways), press is excited about movies becoming reality; and we users are eager to use. However, one dark hole remains in this scenario.

More Trending

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Gradient Descent: Design Your First Machine Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Building a simple Machine Learning model using Pytorch from scratch. Image by my great learning Introduction Gradient descent is an optimization algorithm that is used to train machine learning models and is now used in a neural network. Training data helps the model learn […].

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Six Lessons Learned From Running An AI Company During A Pandemic

Lexalytics

While much of the tech world has come through Covid-19 relatively unscathed, some tech-focused industries have definitely felt the effects of the pandemic. As an AI and NLP software vendor with clients in myriad industries — including those with a focus on restaurants, airlines and hospitality — we were certainly affected, especially early on. However, with necessity being the mother of invention, we have adapted to this “new normal” and have emerged stronger than ever.

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Reproducible spaCy NLP Experiments with Weights & Biases

Explosion

This tutorial will show how to add Weights & Biases to any spaCy NLP project to track your experiments, save model checkpoints, and version your datasets.

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Can AI Outsmart Humans? 5 times AI found unexpected solutions

Dlabs.ai

When developers designed a self-driving car simulator to ‘go fast and drive safe,’ they didn’t expect what came next. The algorithm at the wheel ordered the car to speed round and round on the spot. The strategy was brilliant because, with the wheels spinning and passers-by in no danger, the simulator had followed its instructions to the letter. It’s just — the vehicle would never reach a destination, rendering the car somewhat pointless.

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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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Building architectures that can handle the world’s data

DeepMind

Most architectures used by AI systems today are specialists. A 2D residual network may be a good choice for processing images, but at best it’s a loose fit for other kinds of data — such as the Lidar signals used in self-driving cars or the torques used in robotics. What’s more, standard architectures are often designed with only one task in mind, often leading engineers to bend over backwards to reshape, distort, or otherwise modify their inputs and outputs in hopes that a standard architecture

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If You Don’t Call It “Anchoring…”

NLPhilia

…then it isn’t NLP, it’s science. Right? A 21-yr-old student reacted with severe anxiety in test-taking situations. She was successfully treated by cue-controlled relaxation methods. The procedure involved (1) training in deep-muscle relaxation, and (2) pairing of breath exhalations while relaxed, with a self-produced cue word—“calm”.

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Hyperparameter Tuning Of Neural Networks using Keras Tuner

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In neural networks we have lots of hyperparameters, it is. The post Hyperparameter Tuning Of Neural Networks using Keras Tuner appeared first on Analytics Vidhya.

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Getting Specific about AI Risks (an AI Taxonomy)

fast.ai

The term “Artificial Intelligence” is a broad umbrella, referring to a variety of techniques applied to a range of tasks. This breadth can breed confusion. Success in using AI to identify tumors on lung x-rays, for instance, may offer no indication of whether AI can be used to accurately predict who will commit another crime or which employees will succeed, or whether these latter tasks are even appropriate candidates for the use of AI.

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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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Downstream Evaluations of Rotary Position Embeddings

Eleuther.ai

A comparison of Rotary Position Embedding against GPT-style learned position embeddings.

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How chatbots in healthcare are transforming the patient experience

Dlabs.ai

According to a Meticulous Research report , the global healthcare chatbots market is expected to reach $703.2 million by 2025. So it’s little surprise companies have responded to growing demand by developing solutions that provide digital healthcare assistance. But what do these chatbots actually do? That’s what we’ll cover today. In this article, you’ll learn : The role of chatbots in healthcare The advantages of using them Six practical use cases for chatbots The five most popular healthcare c

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The 2021 Executive Guide To Data Science and AI

Applied Data Science

Case-studies from real-life business scenarios and advice you can act on. This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Download the free, unabridged version here. We have divided the guide into 8 thematic sections , with new content released regularly: Roadmap ?

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Challenges and Opportunities in NLP Benchmarking

Sebastian Ruder

Over the last years, models in NLP have become much more powerful, driven by advances in transfer learning. A consequence of this drastic increase in performance is that existing benchmarks have been left behind. Recent models "have outpaced the benchmarks to test for them" ( AI Index Report 2021 ), quickly reaching super-human performance on standard benchmarks such as SuperGLUE and SQuAD.

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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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Effective Data Visualization Techniques in Data Science Using Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Data Visualization Data Visualization techniques involve the generation of graphical or. The post Effective Data Visualization Techniques in Data Science Using Python appeared first on Analytics Vidhya.

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Let’s Understand All About Data Wrangling!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data- a world-changing gamer is a key component for all. The post Let’s Understand All About Data Wrangling! appeared first on Analytics Vidhya.

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Python Tutorial: Working with CSV file for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Source Intro: In this article, I will walk you. The post Python Tutorial: Working with CSV file for Data Science appeared first on Analytics Vidhya.

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Understanding the Basics of Apache Spark RDD

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Hello readers! In this article, I am going to discuss one of the most essential parts of Apache Spark called RDD. Before getting into Spark RDD, I strongly recommend you to read my article, Understand the internal working of Apache Spark to get an overview of […]. The post Understanding the Basics of Apache Spark RDD 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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Multivariate Time Series Anomaly Detection using VAR model

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon What is Anomaly Detection? Anomaly detection detects anomalies in the data. The post Multivariate Time Series Anomaly Detection using VAR model appeared first on Analytics Vidhya.

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Mathematical Modelling: Modelling the Spread of Diseases with SIRD Model

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction According to Haines and Crounch, mathematical modelling is a process. The post Mathematical Modelling: Modelling the Spread of Diseases with SIRD Model appeared first on Analytics Vidhya.

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Complete guide on how to Use LightGBM in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A Gradient Boosting Decision tree or a GBDT is a. The post Complete guide on how to Use LightGBM in Python appeared first on Analytics Vidhya.

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Slack Data Engineering: Design and Architecture

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Ref :[link] Introduction: Slack is a communication platform. Users send. The post Slack Data Engineering: Design and Architecture 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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Email Spam Detection – A Comparative Analysis of 4 Machine Learning Models

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to compare four different deep learning and. The post Email Spam Detection – A Comparative Analysis of 4 Machine Learning Models appeared first on Analytics Vidhya.

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Data Types in Python You Need to know at the Beginning of your Data Science Journey

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, you’ll learn about Python Data Types and. The post Data Types in Python You Need to know at the Beginning of your Data Science Journey appeared first on Analytics Vidhya.

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A Guide To Complete Statistics For Data Science Beginners!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Source Introduction: In this article, we will learn all the important. The post A Guide To Complete Statistics For Data Science Beginners! appeared first on Analytics Vidhya.