Sat.May 28, 2022 - Fri.Jun 03, 2022

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Machine Learning Approach to Forecast Cars’ Demand

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform. Over a weekend, more than 600 participants competed to build and improve their solutions and climb the leaderboard. In this article, I will […].

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DataOps Mission Control And Managing Your Data Infrastructure Risk

DataKitchen

DataOps Mission Control. Data Teams can’t answer very basic questions about the many, many pipelines they have in production and in development. For example: Data. Is there a troublesome pipeline (lots of errors, intermittent errors)? Did my source files/data arrive on time? Is the data in the report I am looking at “fresh”? Is my output data the right quality?

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Top Posts May 23-29: The Complete Collection of Data Science Books – Part 2

KDnuggets

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; NaĂŻve Bayes Algorithm: Everything You Need to Know.

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AI, predictive analytics top list of hot technologies for banks

CIO Business Intelligence

Artificial intelligence , machine learning (a subset of AI), and predictive analytics top the list of hot, planned technology investments for banks in 2022, due to their ability to aid strategic business decision-making, help build applications that can serve customers in a personalized manner, and drive revenue growth, according to market research firm Forrester.

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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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Use of Date and Time Functions in SQL Server

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on SQL Server Before going to our main concept, we must first learn about what are functions and then study the details of scalar functions in SQL Server. Function in SQL Server is a set of T-SQL statements that are used to […]. The post Use of Date and Time Functions in SQL Server appeared first on Analytics Vidhya.

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Why Are Organizations Focusing on Data Security?

Smart Data Collective

Data breaches are becoming more common than ever. The International Association of Privacy Professionals reports that there were 1,862 data breaches in 2021 alone. This figure is growing by the year. Organizations must make data security a top priority. Those that do not risk bankruptcy, as the costs of data breaches are horrifying. Rising Data Breaches Have Made Greater Data Security a Necessity.

More Trending

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Streamlining IT for agility

CIO Business Intelligence

There’s never been more pressure on IT to deliver technology-enabled change to the business. Yet the volume of demands placed on IT can make it challenging for IT leaders to concentrate IT resources on the right efforts. Here, agility is essential, and smart IT leaders are doubling down on efforts to streamline IT, whether that involves reprioritizing projects and realigning the IT portfolio, rationalizing applications and pursuing cloud-native approaches, increasing automation through DevOps or

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The DataHour: How to Transition into Data Science?

Analytics Vidhya

Dear Readers, I appreciate you coming onto our platform and expanding your knowledge. I am sure, by now, some of you must be interested to make a transition into the Data Science industry as it’s one of the most host-selling jobs (if we can put it that way :D). So, this DataHour session is dedicated […]. The post The DataHour: How to Transition into Data Science?

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Data Activation for Beginners: Everything You Need to Know

Smart Data Collective

Big data technology is having a huge impact on the state of modern business. The technology surrounding big data has evolved significantly in recent years, which means that smart businesses will have to take steps to keep up with it. One of the biggest breakthroughs for data-driven businesses has been the development of data activation. What is Data Activation?

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21 Cheat Sheets for Data Science Interviews

KDnuggets

This article has researched and presents the best data science cheat sheets from around the internet, so you don’t have to do it yourself.

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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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GREEN500 Supercomputer Powering Robot Scientists and Transformational Machine Learning

CIO Business Intelligence

England’s University of Cambridge was recognized at the ISC 2022 event in Hamburg, Germany for its Dell-based Wilkes-3 supercomputer, rated 8 in the GREEN500 and 304 in the TOP500, and Cumulus system, rated 94 in the GREEN500 and 316 in the TOP500. Wilkes-3 and the Cumulus system run in an open stack, cloud-native interface which increases flexibility to allow different stakeholders to have customized experiences within that environment.

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An End-to-end Guide on Anomaly Detection

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Anomaly is something that is not normal. Any data point which is placed at a distance from all normal data points is an anomaly. Hence anomalies are also called outliers. Anomaly detection is also called as deviation detection because anomalous objects have […]. The post An End-to-end Guide on Anomaly Detection appeared first on Analytics Vidhya.

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How Data Analytics can Help you Bolster Your Career Performance?

Smart Data Collective

What is data analytics? One of the most buzzing terminologies of this decade has got to be “data analytics.” Companies generate unlimited data every day, and there is no end to the data collected over time. This content can be in the form of log content, transactional content, social media data, and customer—related data. . Companies need all of this data in a structured manner to improve their decision—making capabilities.

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How Data Storytelling Can Build Better Customer Connections

Juice Analytics

“Like a good neighbor, State Farm is there.”. The State Farm tagline — like so many advertisements — does more than connect with new customers. It also wants to convince existing customers that they made the right decision in choosing State Farm for their insurance. The same is true about delivering data to your customers. Reporting is more than a feature of your product, it is an opportunity to remind customers of the value your solution provides.

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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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Industry clouds lay foundation for innovation

CIO Business Intelligence

At Cleveland Clinic, CIO Matthew Kull is seeking to marry two vastly different disciplines: medicine and marketing. He’s succeeding with the help of a new industry cloud that takes care of essential tasks for healthcare providers while enabling Cleveland Clinic to look at patients through a marketing lens. “Patients have healthcare records, but they are also customers,” asserts Kull.

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Modin: Expedite Your Pandas Code with Single Change

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Pandas Pandas is a python library that needs no introduction. Pandas provide an easier way to do preprocessing and analysis on our data. However, if we are working on a larger data, pandas takes too much time for data preprocessing. The […]. The post Modin: Expedite Your Pandas Code with Single Change appeared first on Analytics Vidhya.

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Top 18 Data Science Groups on LinkedIn

KDnuggets

Join the best data science professional groups on LinkedIn to share insights and experiences, ask for guidance, and build valuable connections.

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3 Agile Software Development Practices to Create AI Applications

Smart Data Collective

Artificial intelligence technology is becoming more important with each passing day. Companies in every industry from finance to manufacturing to hospitality are investing in AI to improve their business models. Companies around the world are projected to spend nearly $1.6 trillion on AI by 2030 , as they discover the countless benefits it offers. Software developers are taking advantage of the sudden booming market for AI.

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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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When every experience matters, we find the true cost of poor quality

CIO Business Intelligence

Every CIO understands that when it comes to the technical performance of your company and protecting the reputation of your brand, the buck stops with you. In an age where every brand is considered a digital brand because the customer’s main touchpoint is a mobile application, the CIO is the head of product and Chief Marketing Officer at the same time.

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Use a Load Balancer on Google Cloud to Host Web Applications

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction What is a Load Balancer, and why do we need it? Load Balancer is a must component when we want to scale our systems horizontally. Horizontal scaling means the addition of extra servers and machines to the existing infrastructure so that it […]. The post Use a Load Balancer on Google Cloud to Host Web Applications appeared first on Analytics Vidhya.

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Five Signs of an Effective Data Science Manager

KDnuggets

In this article, we will go beyond the theoretical realm of what a data science manager does and focus more on how to become an “effective” data science manager.

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9 Great Reasons to Join the DataRobot AI Experience Virtual Event Jun 7-8

DataRobot Blog

Join DataRobot and leading organizations June 7 and 8 at DataRobot AI Experience 2022 (AIX) , a unique virtual event that will help you rapidly unlock the power of AI for your most strategic business initiatives. Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., Ltd., financial services and healthcare leaders, and the McLaren Formula 1 Team.

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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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CIO playbook: Collaborating with business leaders on their IT spend

CIO Business Intelligence

Digital transformations are not just about technology, they’re also about business change. As technology increasingly permeates every aspect of the enterprise, the lines are blurring, with business unit employees frequently becoming business technologists and purchasing their own software and services. Nearly three-quarters (74%) of technology purchases are funded, at least in part, by business units outside of IT, according to a recent Gartner survey , with 26% of tech investments funded — and

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Handling Imbalanced Data with Imbalance-Learn in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Almost every data scientist must have encountered the data for which they need to perform imbalanced binary classification. Imbalanced data means the number of rows or frequency of data points of one class is much more than the other class. In other […]. The post Handling Imbalanced Data with Imbalance-Learn in Python appeared first on Analytics Vidhya.

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Cloud Automation Drives the Trend of E-Procurement Technology

Smart Data Collective

Cloud technology is becoming an increasingly important part of modern business. Global companies are projected to spend around $495 billion on cloud services this year. One of the biggest reasons cloud technology is becoming important is that it is helping companies make e-procurement possible. Cloud Automation Helps. Many offices have started taking their business practices remote and operating online.

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Free Data Engineering Courses

KDnuggets

Get into the highly in-demand world of data engineering for free and earn 6 figures salary.

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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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5 challenges for securing the future

CIO Business Intelligence

Information security has been an intriguing part of our past, is a critical part of our present, and will be a defining factor in our future. There are actions that must be addressed at the micro/individual level and challenges we must collaboratively address as an industry moving forward. The economics of security are clear: “There is no financial stability without cybersecurity,” writes Loretta J.

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Bet Wisely: Predicting the Scoreline of a Football Match using Poisson Distribution

Analytics Vidhya

“The biggest religion in the world is not even a religion.” – Fernando Torres Spanish footballing giant Sevilla FC together with FC Bengaluru United, one of India’s most exciting football teams have launched a Football Hackathon – Data-Driven Player Performance Assessment. This Hackathon will be a unique opportunity to effectively use data science in […].

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Moving Enterprise Data From Anywhere to Any System Made Easy

Cloudera

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Over the last few years, we have had a front-row seat in our customers’ hybrid cloud journey as they expand their data estate across the edge, on-premise, and multiple cloud providers.

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KDnuggets Top Posts for April 2022: 15 Python Coding Interview Questions You Must Know For Data Science

KDnuggets

Also: Python Libraries Data Scientists Should Know in 2022; The Complete Collection Of Data Repositories - Part 1; Top YouTube Channels for Learning Data Science; 7 Steps to Mastering SQL for Data Science; A Brief Introduction to Papers With Code.

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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.