Sat.Jun 18, 2022 - Fri.Jun 24, 2022

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Understanding Loss Function in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The loss function is very important in machine learning or deep learning. let’s say you are working on any problem and you have trained a machine learning model on the dataset and are ready to put it in front of your client. […]. The post Understanding Loss Function in Deep Learning appeared first on Analytics Vidhya.

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Data Science Career: 7 Expectations vs Reality

KDnuggets

Let’s get into some of the expectations of data scientists – and the reality they face.

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A Complete Guide On How To Set Smart KPI Targets And Goals

datapine

Table of Contents. 1) What Are KPI Goals? 2) What Are KPI Targets. 3) Benefits Of Setting KPIs Targets & Goals. 4) How To Set KPIs Targets? 5) How To Implement A KPI System? 6) KPI Targets Examples. In a world where data represents a major competitive advantage for businesses, the need to monitor performance based on specific goals and targets is critical.

KPI 152
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Where Web 3.0 is taking the software industry

CIO Business Intelligence

Like many breakthroughs, the central idea behind blockchain is simple but obscured by the surrounding embellishments and hoopla. At its heart, the idea is a purely technical one, beguiling in its counterintuitiveness: by broadcasting information, it becomes more secure. Ground zero for the blockchain idea is the Satoshi whitepaper , which presents a novel approach to avoiding the double spend problem in digital currencies.

Software 145
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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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Is Adult Income Dataset Imbalanced?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Introduction How many rows of sample data are required (or what should be the size of the training dataset required) to build a machine learning model that can predict fraudulent transactions in a credit card fraud detection dataset containing around 284407 rows? […]. The post Is Adult Income Dataset Imbalanced?

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Introducing Objectiv: Open-source product analytics infrastructure

KDnuggets

Collect validated user behavior data that’s ready to model on without prepwork. Take models built on one dataset and deploy & run them on another.

Analytics 160

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Computer vision is primed for business value

CIO Business Intelligence

Over the past few years, computer vision applications have become ubiquitous. From phones that recognize the faces of their users, to cars that drive themselves, to satellites that track ship movements, the value of computer vision has never been clear. But hardware shortages and labor disruptions in the pandemic’s wake are challenging companies’ ability to make good on the promise of computer vision, even as the pandemic itself has accelerated the potential of its use cases.

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Differences Between Web 2.0 and Web 3.0

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you have been paying close attention to the blockchain industry, then you have undoubtedly been familiar with the words “Web 2.0” and “Web 3.0.” There’s a good chance that you’re confused about the precise meaning of these phrases and how they […].

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20 Basic Linux Commands for Data Science Beginners

KDnuggets

Essential Linux commands to improve the data science workflow. It will give you the power to automate tasks, build pipelines, access file systems, and enhance development operations.

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Migrating to the cloud? Follow these steps to encourage success

Smart Data Collective

Enterprise cloud adoption increased dramatically during the COVID-19 pandemic — now, it’s the rule rather than the exception. In fact, 9 in 10 companies currently use the cloud in some capacity, according to a recent report from O’Reilly. Although digital transformation initiatives were already well underway in many industries, the global health crisis introduced two new factors that forced almost all organisations to move operations online.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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IT leaders rethink the people part of business continuity

CIO Business Intelligence

Paul Wright is dealing with management dynamics that, although outside the usual realm of technology leadership, are nonetheless confronting CIOs more often. More specifically, he’s balancing how to get work done as some workers contend with extreme circumstances that impact their ability to do their jobs. For Wright, the CIO of Accuride, which manufactures wheels and wheel-end components for global commercial vehicle markets, that means navigating the tricky situation that has emerged following

IT 138
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Data Visualisation: Alluvial Diagram vs. Sankey Diagram

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most people tend to have a very minimal set of information about Alluvial and Sankey diagrams. The reality is that the two diagrams have superficial similarities to each other. On the flip side, the two diagrams are completely different, underlying superficial assumptions. […].

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Plotting and Data Visualization for Data Science

KDnuggets

In this article, we examine various types of plots used in data science and machine learning.

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AI Helps Mitigate These 5 Major Supplier Risks

Smart Data Collective

Artificial intelligence is driving a lot of changes in modern business. Companies are using AI to better understand their customers, recognize ways to manage finances more efficiently and tackle other issues. Since AI has proven to be so valuable, an estimated 37% of companies report using it. The actual number could be higher, since some companies don’t realize the different forms of AI they might be using.

Risk 144
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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Oracle cuts price of OCI Dedicated Region to expand user base

CIO Business Intelligence

In an effort to appeal to a broader range of users, Oracle is reducing the entry price for its Oracle Cloud Infrastructure (OCI) Dedicated Region. OCI Dedicated region, which started off as a service to enable enterprises to take advantage of cloud technology inside their data centers while complying with data residency and other regulatory guidelines, offers a portfolio of public cloud services along with Oracle Fusion SaaS applications. .

Sales 135
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Most Frequently Asked Google Big Query Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Big Query is a serverless enterprise data warehouse service fully managed by Google. Big Query provides nearly real-time analytics of massive data. A big Query data warehouse provides global availability of data, can be easily connected to the other Google Services and […].

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Super Study Guide: A Free Algorithms and Data Structures eBook

KDnuggets

Check out Super Study Guide: Algorithms and Data Structures, a free ebook covering foundations, data structures, graphs, and trees, sorting and searching.

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Why Big Data is Creating a Big Market for NFTs

Smart Data Collective

Big data technology has led to some other major technological breakthroughs. We have talked in detail about applications of big data in marketing, financial management and even the criminal justice system. However, there are other benefits of big data that get less attention, even though they are also remarkable. One of the newer applications of big data is with NFTs.

Big Data 143
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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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Exploring the Advantages of Deploying DPUs in the Data Center

CIO Business Intelligence

One of the newer technologies gaining ground in data centers today is the Data Processing Unit (DPU). As VMware has observed , “In simple terms, a DPU is a programable device with hardware acceleration as well as having an ARM CPU complex capable of processing data. Today the DPU is available as a SmartNIC (PCIe Form Factor) that can be plugged in to a server and help with several functions.” .

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Which is better? Bitcoin Vs Ethereum

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will see the two main cryptocurrencies, Bitcoin and Ethereum. Let us learn about them. What differences do they have and which coin is best for investment and what makes that particular coin better. Nowadays cryptocurrencies are quite popular. […].

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Why You Need To Learn More Than One Programming Language!

KDnuggets

Will your skills get outdated if you survive on one programming language for your career? Read on to find out.

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Automotive Industry Uses Analytics To Solve Pressing Supply Chain Issues

Smart Data Collective

The automotive industry is struggling to meet demand as a growing supply chain shortage cripples the global economy. Chip shortages, among other components, have fueled a steep increase in car prices, as much as USD$900 above the manufacturer-suggested retail price (MSRP) for non-luxury cars and USD$1,300 above MSRP for luxury ones. . Market analysts predict the supply chain to normalize in the third quarter of 2022, which is only a few months away as of this publication.

Analytics 132
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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

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How investment and savings platform PiggyVest is changing Nigeria’s youth culture

CIO Business Intelligence

With around 3.7 million users, PiggyVest is a platform that makes it easier for the average Nigerian to save and invest. According to COO and co-founder Odun Eweniyi, PiggyVest allows people to automate their savings so they can achieve big ambitions like buying a car, funding a goal to continue studying or starting a business. Here, she talks about why she and her co-founders wanted to create a platform that democratises saving and investing to better equip Nigeria’s younger generations for the

Marketing 133
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Multi-Table Analysis with MYSQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on MYSQL In this article, we will see how to work with multiple tables. Learning SQL is very important nowadays. It is a very popular technology that most companies are using. SQL queries are used for querying tables in the process of data analysis. […]. The post Multi-Table Analysis with MYSQL appeared first on Analytics Vidhya.

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Comprehensive Guide to the Normal Distribution

KDnuggets

Drop in for some tips on how this fundamental statistics concept can improve your data science.

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How Credit Providers and Lenders Use Data Effectively

Smart Data Collective

Big data technology has had massive implications for the financial industry. Banks, credit card companies and other financial service providers are leveraging big data in unprecedented ways. One of the biggest benefits of big data is with loan and mortgage processing. The use of data can be crucial for credit card companies and those offering loans and mortgages.

Big Data 130
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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5 common consultant negotiation tactics and how to protect your interests

CIO Business Intelligence

To execute a successful digital transformation initiative, you are likely to establish consulting provider relationships. A key step in creating an effective and meaningful relationship is establishing mutually aligned expectations and a commercial agreement. This takes planning. Unfortunately, many organizations find themselves susceptible to the tactics used by consultants to manage their risk and optimize a commercial arrangement to their benefit.

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Speed up Pandas in Python with Modin

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Speeding up Pandas in Python Pandas is the most popular library in python for Data Science. It is essential for anyone doing anything related to the data processing to know. This Link provides a lot of ways to use the library. However, […]. The post Speed up Pandas in Python with Modin appeared first on Analytics Vidhya.

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Tech visionaries to address accelerating machine learning, unifying AI platforms and more at the AI Hardware Summit & Edge AI Summit

KDnuggets

Tech visionaries to address accelerating machine learning, unifying AI platforms and taking intelligence to the edge, at the fifth annual AI Hardware Summit & Edge AI Summit, Santa Clara.

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5 Huge Benefits of Financial Analytics for Your Business

Smart Data Collective

Data analytics technology has become a pillar in modern business. A growing number of companies are utilizing data analytics to improve their operating strategies. One of the most important functions that data analytics is helping with is finance. Companies are projected to spend just shy of $20 billion on financial analytics services in 2030. Are youu wondering how your company can benefit from financial analytics ?

Analytics 128
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?