Wed.Dec 28, 2022

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Analytics Vidhya’s Top 10 Machine Learning Blogs in 2022

Analytics Vidhya

Introduction Though machine learning isn’t a relatively new concept, organizations are increasingly switching to big data and ML models to unleash hidden insights from data, scale their operations better, and predict and confront any underlying business challenges. All this positively impacts the ML industry while opening up new career avenues, job roles, a plethora of […].

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7 Ways to Avoid Errors In Your Data Pipeline

Smart Data Collective

A data pipeline is a technical system that automates the flow of data from one source to another. While it has many benefits, an error in the pipeline can cause serious disruptions to your business. Thankfully, there are ways to prevent them and avoid this company wide disruption. Here are some of the best practices for preventing errors in your data pipeline: 1.

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Ace Your Machine Learning Interview With Expert Tips and Tricks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source: [link] As a machine learning professional, you know that the field is rapidly growing and evolving. The increasing demand for skilled machine learning experts makes competition for top job positions fierce. To stand out from the competition and land your dream […].

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Scope 3 is coming: CIOs take note

CIO Business Intelligence

Even though sustainability can be an amorphous organizational pursuit, it’s becoming more of an urgent priority all industries must clearly define. Whether that’s through internally motivated ESG efforts or imposed regulations, CIOs, in particular, find themselves increasingly central figures in sustainability initiatives. And scope 3 reporting—an account of carbon emissions across the supply chain to build equipment, provide professional expertise, or deliver a subscription service—may be the m

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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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Sigmoid Function: Derivative and Working Mechanism

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In deep learning, the activation functions are one of the essential parameters in training and building a deep learning model that makes accurate predictions. Choosing the best appropriate activation function can help one get better results with even reduced data quality; hence, […].

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A Guide to Train an Image Classification Model Using Tensorflow

KDnuggets

Classify images at scale and with very high accuracy with the advent of machine learning and deep learning algorithms.

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Power BI: Data Lineage and the Big Picture

Octopai

“At the roundabout, take the second exit. In 50 meters, turn right. You have reached your destination.”. Ahh, Waze. How did we find our way before you? While 90%+ of Waze use is done in the zoomed-in, hyper-localized, directive-by-directive view, imagine how frustrating it would be if you wanted to zoom out and get a bigger picture of your journey… and Waze didn’t let you.

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3 Signs It’s Time to Consider a Data Science Platform

Dataiku

It seems like just yesterday that your data science team was a handful of people, actively having to seek out cool use cases for experimentation. Now, like many companies, you likely have the opposite problem. Teams across the organization are asking “how can AI help me?” and you have a long list of backlogged requests with the hope of finding new sources of revenue or cutting cost s.

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Informatica – Limitations of its cloud platform

BizAcuity

Introduction. Informatica is a data integration tool based on ETL architecture. It provides data integration software and services for various businesses, industries and government organizations including telecommunication, health care, financial and insurance services. Informatica uses the Extract, Transform & Load (ETL) architecture which is the most popular architecture to perform data integration.

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Enable Collaboration and Sharing with Great Augmented Analytics!

Smarten

Get Social BI, Collaboration and Data Security with Augmented Analytics! Organizational experts know that the best outcomes are achieved by building a collaborative team environment, one where information is shared and team members work from a common platform of goals and data so that everyone is on the same page. Studies reveal that 83% of professionals depend on technology to collaborate and 82% said they would be negatively impacted if collaborative technology was lost.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.