Fri.Jan 27, 2023

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How is TinyML Used for Embedding Smaller Systems?

Analytics Vidhya

Introduction There are many emerging trends in the tech world, and Machine Learning is one of them. Machine Learning is a subset of Artificial Intelligence where a computer learns from data and analyses its patterns to predict an outcome. Usually, Machine Learning models are trained on big chunks of data to analyze the patterns where […] The post How is TinyML Used for Embedding Smaller Systems?

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Top 10 Advanced Data Science SQL Interview Questions You Must Know How to Answer

KDnuggets

In this article, we will give a list of commonly asked SQL interview questions to help you prepare for your coming technical interview.

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How is AI Improving the Data Management Systems?

Analytics Vidhya

Introduction Effective data management is crucial for organizations of all sizes and in all industries because it helps ensure the accuracy, security, and accessibility of data, which is essential for making good decisions and operating efficiently. Properly organizing and maintaining your data can help ensure that it is accurate and up to date. This is important […] The post How is AI Improving the Data Management Systems?

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Master Data Science with Anaconda

KDnuggets

As a special offer, you're receiving a 30-day FREE trial to Anaconda Notebooks and Learning. To unlock this offer, simply sign up for an Anaconda Nucleus account and use the promo code “NEWYEAR23" at checkout.

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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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An Approach to Extract Skills from Resume Using Word2Vec

Analytics Vidhya

Introduction Building a good resume has always motivated every student out there to get hired by their dream company. Thousands of people from various platforms like Linkedin, naukri.com, etc., start applying as the company starts its recruitment process. It’s highly impossible to, of course, interview everyone who applies. Here comes artificial intelligence’s resume screener (Word2Vec) […] The post An Approach to Extract Skills from Resume Using Word2Vec appeared first on Analytics

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7 SMOTE Variations for Oversampling

KDnuggets

Best oversampling techniques for the imbalanced data.

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Advanced reporting and analytics for the Post Call Analytics (PCA) solution with Amazon QuickSight

AWS Big Data

Organizations with contact centers benefit from advanced analytics on their call recordings to gain important product feedback, improve contact center efficiency, and identify coaching opportunities for their staff. The Post Call Analytics (PCA) solution uses AWS machine learning (ML) services like Amazon Transcribe and Amazon Comprehend to extract insights from contact center call audio recordings uploaded after the call, or from integration with our companion Live Call Analytics (LCA) solution

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Predicting GDP With Google Trends: The OECD Weekly Tracker

Dataiku

As we saw in the first blog post of the Dataiku AI Lab’s ML Research in Practice series, we'll once again observe how the Lab assists the machine learning (ML) community in academia and develops solutions to aid everyone on their data journey. Along with its research objectives, the Lab also applies its understanding to practical issues by working with Dataiku data scientists and architects to resolve enterprise data issues.

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Diligent enhances customer governance with automated data-driven insights using Amazon QuickSight

AWS Big Data

This post is co-written with Vidya Kotamraju and Tallis Hobbs, from Diligent. Diligent is the global leader in modern governance, providing software as a service (SaaS) services across governance, risk, compliance, and audit, helping companies meet their environmental, social, and governance (ESG) commitments. Serving more than 1 million users from over 25,000 customers around the world, we empower transformational leaders with software, insights, and confidence to drive greater impact and lead

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Smarten Augmented Analytics Launches PMML Integration Capability!

Smarten

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. PMML Integration capability allows data scientists and business users to create PMML Models in other platforms and use those models within the Smarten suite of products without the need for coding.

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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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Build a data lake with Apache Flink on Amazon EMR

AWS Big Data

To build a data-driven business, it is important to democratize enterprise data assets in a data catalog. With a unified data catalog, you can quickly search datasets and figure out data schema, data format, and location. The AWS Glue Data Catalog provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos.

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Use Self-Serve Analytics to Enable Data Democratization!

Smarten

How Can I Encourage Data Democratization with BI and Augmented Analytics Tools? What is business intelligence democratization? Put simply, BI democratization is the open access to business intelligence and analytical tools to enable analysis and understanding of the data within the enterprise systems. The ‘democratization’ component relates to the ‘who.