Thu.Aug 26, 2021

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Tensorflow- An impressive deep learning library!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Tensorflow (hereinafter – TF) is a fairly young framework for deep machine learning, being developed in Google Brain. For a long time, the framework was developed in a closed mode called disbelief, but after a global refactoring on November 9, 2015, it was […].

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Is Data Analytics Ushering in the Modern Age of Weather Forecasting?

Smart Data Collective

Weather forecasting technology has grown from strength to strength in the last few decades. Gone are the days when you had to wait for the local news channel to share the weather forecasts for the next day. Nor do you have to reach out to the newspaper to find out what the weather is going to be like throughout the day. Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips.

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Sharpening An Image using OpenCV Library in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon From our previous article, we have learned about how to blur an image using a kernel, and we have also learned exactly what a kernel is- It simply refers to the matrix involved in the image manipulation process. For the task of blurring an […]. The post Sharpening An Image using OpenCV Library in Python appeared first on Analytics Vidhya.

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Apache Ozone Powers Data Science in CDP Private Cloud

Cloudera

Apache Ozone is a scalable distributed object store that can efficiently manage billions of small and large files. Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads.

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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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Understanding Gradient Descent Algorithm and the Maths Behind It

Analytics Vidhya

This article was published as a part of the Data Science Blogathon This article throws light on how the Gradient Descent algorithm’s core formula is derived which will further help in better understanding of the Gradient Descent Algorithm. First, we will understand what is Gradient Descent algorithm is in brief. A Brief idea of Gradient Descent Algorithm […].

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Back to School! Time to Ditch the Promotions Calendar?

Teradata

As Back to School promotions hit the shelves, Christmas & New Year offers are already locked in. Are these long-lead cycles still effective in today’s dynamic Retail & CPG environment?

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Choosing Data-Driven Lending Software: The Complete How-to Guide

Smart Data Collective

With the forces of digitalization spreading like wildfire, it’s only a matter of time before brick-and-mortar, pen-to-paper ways of living vaporize before our very eyes. Data analytics technology is one of the biggest reasons that things are changing faster than ever. Customers buy their cars online. Realtors conduct house and apartment tours online.

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Understand The Internal Working of Apache Spark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon In this fast-paced digitized world, the size of data generation is increasing every second. This data cannot be thrown away as this may help to get important business insights. Apache Spark is the largest open-source project for data processing. In this article, I am […]. The post Understand The Internal Working of Apache Spark appeared first on Analytics Vidhya.

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Reuse at Its Best: The Benefits of Feature Stores With Dataiku

Dataiku

At Dataiku, we’re committed to helping organizations of all sizes and maturity levels deliver on the full potential of Everyday AI. From the beginning, this has always meant having a clear focus on production — and not just design — in order to enable our customers to easily deploy models in the real world. Doing this comes with a lot of challenges and Dataiku's end-to-end AI platform already has many out-of-the-box features to implement best MLOps practices.

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Best Practices and Performance Tuning Activities for PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Recently I worked on a sas migration project where we converted all the SAS batch jobs to pySpark and deployed them on EMR. In the initial development phase, we used to get few environmental errors which took lots of time to debug and get […]. The post Best Practices and Performance Tuning Activities for PySpark appeared first on Analytics Vidhya.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Enabling a Customer Data Platform Using Data Virtualization

Data Virtualization

In this increasingly digital economy, we have seen major change in customer behavior over the last several years as customers switch from traditional channels to digital ones to interact and transact business. Today, the vast majority of purchases take place. The post Enabling a Customer Data Platform Using Data Virtualization appeared first on Data Virtualization blog.

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A Technical Approach to Understanding Brain-Computer Interfaces using MNE Python Module

Analytics Vidhya

This article was published as a part of the Data Science Blogathon The intersection of medicine and data science has always been relevant; perhaps the most obvious example is the implementation of neural networks in deep learning. As data science and machine learning advance, so will medicine, but the opposite is also true. Nanotechnology, stem cells, […].

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At Center Stage: 2 Ontotext Webinars About Reasoning with Big Knowledge Graphs and the Power of Cognitive Graph Analytics

Ontotext

This post continues the series of posts we started with At Center Stage: 2 Ontotext Webinars About Reasoning with Big Knowledge Graphs and Power of Graph Analytics. We want to give you the bigger picture of what we do and where Ontotext webinars fit into it – just a couple of webinars at a time. All of our webinars are available on demand. If you’ve missed one and if we’ve managed to peak your interest with this post, you can request a free recording.

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Debugging with IDLE: Find and Fix Bugs In Your Python Code

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Everyone makes mistakes – even seasoned professional developers, and Python and IDLE are great at catching them. Let’s see how it works. Identifying errors is called debugging, and a debugger is a tool that helps to understand the cause of their occurrence. The […].

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Enabling a Customer Data Platform Using Data Virtualization

Data Virtualization

In this increasingly digital economy, we have seen major change in customer behavior over the last several years as customers switch from traditional channels to digital ones to interact and transact business. Today, the vast majority of purchases take place. The post Enabling a Customer Data Platform Using Data Virtualization appeared first on Data Virtualization blog.

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Train Your Own YoloV5 Object Detection Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon “You can have data without information but you cannot have information without data” – Daniel Keys Moran Introduction If you are here then you might be already interested in Machine Learning or Deep Learning so I need not explain what it is? So starting […]. The post Train Your Own YoloV5 Object Detection Model appeared first on Analytics Vidhya.

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Deep Learning is Critical for Modern Small Business Accounting

Smart Data Collective

Deep learning technology is changing the future of small businesses around the world. A growing number of small businesses are using deep learning technology to address some of their most pressing challenges. One of the biggest examples is in the field of finance. New advances in deep learning are integrated into various accounting algorithms. This has helped companies finetune their accounting practices and better address the nuances of their financial strategies.

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Everything a Beginner should know about List Comprehension in Python Before Starting Your Data Science Journey[With Examples]

Analytics Vidhya

This article was published as a part of the Data Science Blogathon INTRODUCTION As we know Python is one of the most widely used programming languages in the world. Its widespread popularity can be attributed to its simple and easy-to-understand code. If you’re familiar with the syntax, writing code in Python is a breeze. Its list […]. The post Everything a Beginner should know about List Comprehension in Python Before Starting Your Data Science Journey[With Examples] appeared first

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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.

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How to Automate Your Data Catalog for 2022

Octopai

This is an entry from a data catalog pre-automation: Source: The British Museum’s Teaching History with 100 Objects. This Sumerian data catalog entry (c. 2900 B.C.E) relates to a dataset of barley rations paid to workers. The entry features the data asset description (i.e. the stalk of barley symbol and the circular numeral signs) and the data owner (i.e. the sign of the official responsible for the transaction).

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How to code your ResNet from scratch in Tensorflow??

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction We all have heard about ResNets for Image Recognition and, many of us feel that ResNets can be intimidating in the beginning. The architecture of a ResNet looks huge and complicated at first, but once you understand the core concept behind ResNets you […]. The post How to code your ResNet from scratch in Tensorflow??

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What Is Data Intelligence?

Alation

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” These questions are: Who is using what data? Where is data, and where did it come from (lineage and provenance)?

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Four Best Practices for Cash Account and Petty Cash Reconciliation

Jet Global

Most businesses have to grapple with petty cash, but few give much attention to it. As a result, it often turns into a quagmire of receipts, handwritten notes, and cryptic ledger entries that someone in the accounting department must attempt to decipher after the fact. Theft from the petty cash box is common in many organizations, and, in some organizations, it is a routine practice for an owner or office manager to borrow money from petty cash, often forgetting to pay it back.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.