Tue.Sep 13, 2022

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The 6 Steps of Predictive Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With technological evolution, data dependence is increasing much faster. Gone are the days when business decisions were primarily based on gut feeling or intuition. Organizations are now employing data-driven approaches all over the world. One of the most widely used data applications […].

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5 Data Science Skills That Pay & 5 That Don’t

KDnuggets

This article will go over the top 5 data science skills that pay you and 5 that don’t.

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How to Use Data to Drive Your Marketing Strategy

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the era of big data, it’s no surprise that more and more marketers are using data science in marketing to better position their brands, products, and services in today’s hyper-competitive marketplace. Source: [link] Four points that you need to take into your […].

Marketing 360
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Top Posts August 29 – September 11: Free Python for Data Science Course

KDnuggets

Free Python for Data Science Course • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Everything You've Ever Wanted to Know About Machine Learning • 7 Tips for Python Beginners • 5 Tricky SQL Queries Solved.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Implementing Count Vectorizer and TF-IDF in NLP using PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing is one of the most widely used skills at the enterprise level as it can deal with non-numeric data. As we know machines communicate in either 0 or 1. Still, we as humans communicate in our native languages (English as a […]. The post Implementing Count Vectorizer and TF-IDF in NLP using PySpark appeared first on Analytics Vidhya.

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How to Decide Whether a SaaS Tool is Worth Purchasing?

Smart Data Collective

In today’s more competitive, technology-driven corporate environment, all firms seeking to increase activity and productivity are reaping the benefits of the software world. The software industry is quite diverse, with solutions that may fulfill practically any potential business requirement, whether it be increased cloud computing capabilities, artificial intelligence-based automation tools, or merchant processing choices.

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Find a Picture in an Image Without Marking it Up

KDnuggets

Let's take a closer look at our algorithm so that you can test it with a notebook in Google Colaboratory and even implement it in your project.

IT 108
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Machine Learning Leads to Huge Breakthroughs in Trading

Smart Data Collective

Machine learning technology has been the basis for some of the biggest changes taking place in the financial sector. The securities markets are some of the biggest examples. A growing number of people are using machine learning to perfect their stock trading strategies. Machine learning technology helps them forecast changes in asset prices based on various factors that have been proven to be correlated with financial market activity.

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Kyndryl Cloud Services Pave the Way for Modernization

CIO Business Intelligence

Enterprises have dramatically increased their use of cloud in the last two years – and cloud has emerged as a positive force for change. But there are still barriers to adoption. More than 50% of organizations surveyed increased their usage of cloud because of the pandemic, and 92% accelerated faster than anticipated, according to Microsoft’s Hybrid & Multicloud Perceptions Survey. [1] Furthermore, more than 60% of customers plan further increases over the next 12-24 months, the survey found

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Using Generative Models for Creativity

KDnuggets

This article will discuss a few different types of creative machine learning categories and examples of each.

Modeling 108
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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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Kyndryl Services: Accelerating Digital Transformation for Real Return

CIO Business Intelligence

Digital transformation is no longer a choice; it is an imperative. What’s more, speed is of the essence. While digital transformation enables the business, it also drives the business and IT. COVID-19 drove the demand for new digital models that no one had imagined, at a scale and velocity not anticipated. The global pandemic also brought enormous disruption to the physical workplace.

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Big Data Makes ACH Payment Viable for Small Businesses

Smart Data Collective

Big data technology has led to some major changes in the banking sector. Many of the changes have been beneficial for small businesses. One of the biggest benefits of big data has been the development of ACH payment processing. Many businesses can benefit from it if they use it correctly. Big Data Leads to Great Opportunities for Businesses Relying on ACH Transactions.

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How to Build Security and Resilience into Your Digital Transformation

CIO Business Intelligence

Cyber risk is increasingly a top executive priority, due in large part to the rising number of unplanned outages, driven by the increasingly sophisticated cyberattacks and widening skills gap. Consider these facts: 69% of board of directors accelerated their digital business initiatives following COVID-19 disruption [1] 73% of organizations are increasing spending for data protection because of ransomware threats [2] 40% of board of directors will have a dedicated cybersecurity committee oversee

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The Hidden Force Stopping Your AI Project: Trust

Dataiku

With all the excitement about AI, it is easy to forget the hidden forces that can derail projects and programs. I am not talking about operations issues — those you can see and hopefully fix. In this instance, I am talking about trust. Trust from executives that data and analytics teams are "doing the right thing" and trust from business stakeholders who have to use predictions to make decisions.

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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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Enterprise Storage Solution Provider of Choice: The Case Studies

CIO Business Intelligence

Digitization has transformed traditional companies into data-centric operations with core business applications and systems requiring 100% availability and zero downtime. One company that needs to keep data on a tight leash is Petco, which is a market leader in pet care and wellness products. Most of Petco’s core business systems run on four InfiniBox® storage systems in multiple data centers.

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At NVIDIA GTC, Domino Showcases Hybrid/Multi-cloud MLOps

Domino Data Lab

Are AI and Machine learning “drifting away from the cloud,” as a recent Protocol article suggests? That’s a popular question these days, one also raised in a recent VentureBeat article , which noted that “one of the cloud ecosystem’s biggest weaknesses is the struggle to address the on-premise opportunity.” Another data point, consistent with these first two: challenging macroeconomic conditions and increased competition have firms like Netflix - once a poster-child for driving scale through clo

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Learn how the top Global 500 clients are solving their most pressing business problems

Decision Management Solutions

Decision Management Solutions provides solutions and services that help organizations make more data-driven decisions by applying advanced analytics, artificial intelligence (AI), business rules, and supporting technologies. As our name would imply, we are a leading solution provider and professional services firm focused exclusively on decision management.

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Quest EMPOWER: Take a Sneak Peak of Virtual Day One

erwin

Quest ® EMPOWER kicks off November 1, 2022 and is our free, two-day online summit designed to inspire and provide data veteran perspectives that will help you move your organization’s relationship with data forward. Day one will be focused on data intelligence and governance. Speakers will cover data intelligence and governance on the first day of the summit.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Data Warehouses: Basic Concepts for data enthusiasts

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting. It consists of historical and commutative data from single or multiple sources. Most data scientists, big data analysts, and business […].

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What Do Data Scientists Do? A Guide to AI Maturity, Challenges, and Solutions

DataRobot Blog

The future of business depends on artificial intelligence and machine learning. According to IDC , 83% of CEOs want their organizations to be more data-driven. 87% of CXOs shared that becoming an intelligent enterprise was their top priority. Data scientists could be your key to unlocking the potential of the Information Revolution—but what do data scientists do?

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Imagine How Citizen Data Scientists Can Help Your Business!

Smarten

Imagining the Impact of Citizen Data Scientists ! Technology research and analysis firm, Gartner, coined the term, ‘analytic process automation.’ This process ‘converges data science, analytic and process automation into a single platform—which helps companies automate and integrate the way data and business processes come together. Companies can also make data more actionable across the organization.’.