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How to Create & Implement your Policy

UncategorisedFebruary 13, 2024145Views 0Likes 0Comments

Welcome to Expense Policy 101! Whether you’re the captain of a startup ship or steering a more established enterprise, grappling with expenses is as inevitable as those awkward team-building exercises. This guide seeks to demystify the enigma of creating and implementing a business expense policy that doesn’t just sit pretty in a company handbook but…

The Top 6 Coupa Competitors & Alternatives (2024 Review)

NanonetsFebruary 13, 2024158Views 0Likes 0Comments

Accounts payable and spend management platforms are a tricky selection to make; many offer a range of services that can either be “too much” or “too little” for your business, depending on your needs. At the same time, though, there’s a glut of information available that makes determining the best platform for your needs a…

How To Comment Your Python Code as a Data Scientist

Data AnalyticsFebruary 13, 2024149Views 0Likes 0Comments

Image generated by DALL·E 3 Data scientists were placed in an exciting position; while their job in the modern era requires them to use the programming language, there are still many business aspects their job needs to remember. That’s why the Python code used by Data Scientists usually reflects storytelling on how to…

Text Embeddings: Comprehensive Guide | by Mariya Mansurova | Feb, 2024

Data ScienceFebruary 13, 2024147Views 0Likes 0Comments

As human beings, we can read and understand texts (at least some of them). Computers in opposite “think in numbers”, so they can’t automatically grasp the meaning of words and sentences. If we want computers to understand the natural language, we need to convert this information into the format that computers can work with —…

Free Data Engineering Course for Beginners

Data AnalyticsFebruary 13, 2024155Views 0Likes 0Comments

Image by storyset on Freepik It's a great time to break into data engineering. So where do you start? Learning data engineering can sometimes feel overwhelming because of the number of tools that you need to know, not to mention the super intimidating job descriptions! So if you are looking for a beginner-friendly…

This AI Paper Proposes Two Types of Convolution, Pixel Difference Convolution (PDC) and Binary Pixel Difference Convolution (Bi-PDC), to Enhance the Representation Capacity of Convolutional Neural Network CNNs

AI NewsFebruary 13, 2024134Views 0Likes 0Comments

Deep convolutional neural networks (DCNNs) have been a game-changer for several computer vision tasks. These include object identification, object recognition, image segmentation, and edge detection. The ever-growing size and power consumption of DNNs have been key to enabling much of this advancement. Embedded, wearable, and Internet of Things (IoT) devices, which have restricted computing resources…

Sensitivity Analysis for Unobserved Confounding | by Ugur Yildirim | Feb, 2024

Data ScienceFebruary 13, 2024141Views 0Likes 0Comments

How to know the unknowable in observational studies Introduction Problem Setup 2.1. Causal Graph 2.2. Model With and Without Z 2.3. Strength of Z as a Confounder Sensitivity Analysis 3.1. Goal 3.2. Robustness Value PySensemakr Conclusion Acknowledgements References The specter of unobserved confounding (aka omitted variable bias) is a notorious problem in observational studies. In…

What is the Role of AI in Lending and Loan Management?

NanonetsFebruary 12, 2024153Views 0Likes 0Comments

In the age of relentless technological advancement, artificial intelligence has emerged as the unsung hero, revolutionizing industries one algorithm at a time. Among the sectors witnessing a seismic shift, the lending and loan management world stands at the forefront of this AI-powered evolution. As traditional financial models strain under the weight of data and the…

Synthetic Data for Machine Learning

Data AnalyticsFebruary 12, 2024130Views 0Likes 0Comments

It’s no secret that supervised machine learning models need to be trained on high-quality labeled datasets. However, collecting enough high-quality labeled data can be a significant challenge, especially in situations where privacy and data availability are major concerns. Fortunately, this problem can be mitigated with synthetic data. Synthetic data is data that is artificially generated…

Advancing Vision-Language Models: A Survey by Huawei Technologies Researchers in Overcoming Hallucination Challenges

AI NewsFebruary 12, 2024152Views 0Likes 0Comments

The emergence of Large Vision-Language Models (LVLMs) characterizes the intersection of visual perception and language processing. These models, which interpret visual data and generate corresponding textual descriptions, represent a significant leap towards enabling machines to see and describe the world around us with nuanced understanding akin to human perception. A notable challenge that impedes their…