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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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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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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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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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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Cyber Resilient Storage: An Essential Component of a Corporate Cybersecurity Strategy

CIO Business Intelligence

Storage can no longer be an afterthought for CIOs. The massive cybersecurity threats that daily beset enterprise organizations have completely recalibrated how enterprise storage needs to be calculated into the corporate overall cybersecurity strategy. Keeping storage separate, as if in a silo, from your company’s comprehensive cybersecurity strategy is not only a lost opportunity, but, more importantly, it is also a trigger for increasing the risk of a cyber attack infiltrating, disrupting, cos

Strategy 140
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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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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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Using Data Analytics and QR Codes to Boost Your Marketing Strategy

Smart Data Collective

Data analytics technology has helped countless companies improve their marketing strategies. Global companies are spending over $3 billion a year on marketing analytics technology and this figure is growing over 12% a year. There are a lot of different ways that companies can use data analytics to improve their marketing strategies. One of the most effective approaches involves taking advantage of QR codes.

Marketing 129
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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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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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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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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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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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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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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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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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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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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 118
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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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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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Data Science in Web 3.0

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Web 3.0 As a result of centralization, the Internet has been able to serve billions of users and build a solid foundation upon which it can continue to thrive. At the same time, the World Wide Web is controlled by a few […]. The post Data Science in Web 3.0 appeared first on Analytics Vidhya.

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Market Data and News: A Time Series Analysis

KDnuggets

In this article we introduce a few tools and techniques for studying relationships between the stock market and the news. We explore time series processing, anomaly detection, and an event-based view of the news. We also generate intuitive charts to demonstrate some of these concepts, and share the code behind all of this in a notebook.

Marketing 117
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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 114
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Australian CIOs need recipe for digital transformation success

CIO Business Intelligence

For Australian CIOs, digital transformation is firmly embedded into their organisation’s formula for success, and the focus in their role is shifting to reflect this change. “With their extensive knowledge of how the business operates, they’re now seen as the agent of change management, the guardian of data excellence, head of business intelligence and the governor of ethics and ESG [environmental, social and governance],” Louise Francis research director at IDC ANZ tells CIO Australia.

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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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Top Posts June 13-19: 14 Essential Git Commands for Data Scientists

KDnuggets

Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; Primary Supervised Learning Algorithms Used in Machine Learning.

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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 102
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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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7 IT governance mistakes — and how to avoid them

CIO Business Intelligence

Everybody makes mistakes, but when a CIO messes up, the consequences can be devastating to the instigator, as well as the entire IT department and enterprise. IT governance should be well-defined, clearly understood, and led by principles that reflect your organization’s mission, vision, and strategy, advises Donna Bales, principal research director at Info-Tech Research Group.

IT 116
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Top 10 Web 3.0 Technologies that will Shape our Future World

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The internet has come a long way since Web 1.0. Hypertext Markup Language (HTML) defines the layout and delivery of websites in Web 1.0 and Web 2.0 technologies. With Web 3.0, HTML will remain a core layer, but how it connects to […]. The post Top 10 Web 3.0 Technologies that will Shape our Future World appeared first on Analytics Vidhya.

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KDnuggets Top Posts for May 2022: 9 Free Harvard Courses to Learn Data Science in 2022

KDnuggets

Also: The Complete Collection of Data Science Books - Part 2; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; The Complete Collection of Data Science Books - Part 1; Data Science Projects That Will Land You The Job in 2022; Software Developer vs Software Engineer.

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Big Data Leads to the Possibility of a Cashless Society

Smart Data Collective

The financial sector is among the industries most affected by developments in big data. A study by Allied Market Research has found that the market for financial analytics services will be worth nearly $20 billion by 2030. This market doesn’t seem to even include a number of new services financial institutions use that rely on big data. Nor does it seem to cover some of the ways independent businesses are using big data to improve their financial management services.

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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.