Sat.Jul 18, 2020 - Fri.Jul 24, 2020

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How to Train an Image Classification Model in PyTorch and TensorFlow

Analytics Vidhya

Overview Get an overview of PyTorch and TensorFlow Learn to build a Convolutional Neural Network (CNN) model in PyTorch to solve an Image Classification. The post How to Train an Image Classification Model in PyTorch and TensorFlow appeared first on Analytics Vidhya.

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Global searches for nearby jobs skyrockets by 242% in the last three months

Dataconomy

The number of people searching for nearby jobs has skyrocketed in the last three months due to various factors like the current coronavirus pandemic. Data acquired by Finbold indicates that based on queries logged on the search engine Google, the global interest in the phrase ‘job hiring near me’ grew. The post Global searches for nearby jobs skyrockets by 242% in the last three months appeared first on Dataconomy.

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HOMER: Provable Exploration in Reinforcement Learning

Machine Learning (Theory)

Last week at ICML 2020, Mikael Henaff , Akshay Krishnamurthy , John Langford and I had a paper on a new reinforcement learning (RL) algorithm that solves three key problems in RL: (i) global exploration, (ii) decoding latent dynamics, and (iii) optimizing a given reward function. Our ICML poster is here. The paper is a bit mathematically heavy in nature so this post is an attempt to distill the key findings.

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How to Set Up a HTML App with FastAPI, Jinja, Forms & Templates

Eugene Yan

I couldn't find any guides on serving HTML with FastAPI, thus I wrote this to plug the hole on the internet.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Transfer Learning for NLP: Fine-Tuning BERT for Text Classification

Analytics Vidhya

Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown. The post Transfer Learning for NLP: Fine-Tuning BERT for Text Classification appeared first on Analytics Vidhya.

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How to build better risk models in 3 steps

Dataconomy

Fraud is at a record high – nearly half of all businesses had experienced fraud in the past two years. This excerpt of the Explorium’s guide on enhancing risk models explains how to build them better in three steps. Every few years, whether global, local, or industry-specific, a major event. The post How to build better risk models in 3 steps appeared first on Dataconomy.

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Why You Need to Follow Up After Your Data Science Project

Eugene Yan

Ever revisit a project & replicate the results the first time round? Me neither. Thus I adopted these habits.

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Understanding and coding Neural Networks From Scratch in Python and R

Analytics Vidhya

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

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Data Governance: Stay Non-Invasive in Your Approach

Alation

The post Data Governance: Stay Non-Invasive in Your Approach appeared first on Alation.

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Win back churned users by coordinating your ad and email campaigns

Twilio Segment

With this recipe, you’ll learn how to revive users who’ve become inactive. Reviving churned users is often the highest-leverage growth strategy your team can implement.

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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?

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10 Techniques to deal with Imbalanced Classes in Machine Learning

Analytics Vidhya

Overview Get familiar with class imbalance Understand various techniques to treat imbalanced classes such as- Random under-sampling Random over-sampling NearMiss You can check the. The post 10 Techniques to deal with Imbalanced Classes in Machine Learning appeared first on Analytics Vidhya.

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24 Commonly used SQL Functions for Data Analysis tasks

Analytics Vidhya

Introduction Anything and everything related to data in the 21st century have become of prime relevance. And one of the key skills for any. The post 24 Commonly used SQL Functions for Data Analysis tasks appeared first on Analytics Vidhya.

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5 Exciting Computer Vision Applications With Relevant Datasets!

Analytics Vidhya

Overview Computer vision is the technology that allows the digital world to interact with the real world. Explore 5 of the hottest applications of. The post 5 Exciting Computer Vision Applications With Relevant Datasets! appeared first on Analytics Vidhya.

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MobileBERT: BERT for Resource-Limited Devices

Analytics Vidhya

Overview As the size of the NLP model increases into the hundreds of billions of parameters, so does the importance of being able to. The post MobileBERT: BERT for Resource-Limited Devices appeared first on Analytics Vidhya.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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The Modern Data Catalog: ‘Mythbusting’ the Top Four Assumptions

Alation

The post The Modern Data Catalog: ‘Mythbusting’ the Top Four Assumptions appeared first on Alation.

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Increase your advertising efficiency with lookalike audiences and audience suppression

Twilio Segment

In this recipe, you’ll learn how to use Segment Personas to create hyper-specific audiences in Facebook and increase advertising efficiency.

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