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

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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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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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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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Gaining a sense of control over the COVID-19 pandemic | A Winner’s Interview with Daniel Wolffram

Kaggle

How one Kaggler took top marks across multiple Covid-related challenges. Photo by Markus Spiske on Unsplash Today we interview Daniel, whose notebooks earned him top marks in Kaggle’s CORD-19 challenges. Kaggle hosted multiple challenges that worked with the Kaggle CORD-19 dataset, and Daniel won 1st place three times, including by a huge margin in the TREC-COVID challenge.

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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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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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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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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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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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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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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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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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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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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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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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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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