Tue.May 10, 2022

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IPL Team Win Prediction Project Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning and Data Science are one of the fastest-growing technological fields. This field results in amazing changes in the medical field, production, robotics etc. The main reason for the advancement in this field is the increase in the computational power and […].

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Free University Data Science Resources

KDnuggets

This is a list of FREE data science resources and notes that are available online, some of which are provided by universities.

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Configure Jupyter Notebook On AWS In 2-Steps

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Jupyter Notebook Configuration Let’s You have a job crunching trillions of image data points to extract insights, and you don’t have sufficient storage or processing power to do it, so what will you do – Stop in the Middle or Get […]. The post Configure Jupyter Notebook On AWS In 2-Steps appeared first on Analytics Vidhya.

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8 business concepts IT leaders should master

CIO Business Intelligence

CIOs know they must be business leaders, but the business knowledge they must bring to the proverbial table is something of a moving target. There are, of course, the management fundamentals and the longstanding executive skills that remain constant must-haves. But there are, too, a list of topics that bubble up and dominate based on current trends and present-day realities.

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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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Apache Flume: Data Collection, Aggregation & Transporting Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Apache Flume Apache Flume is a platform for aggregating, collecting, and transporting massive volumes of log data quickly and effectively. It is very reliable and robust. Its design is simple, based on streaming data flows, and written in the Java programming […].

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IBM adopts ‘Rise with SAP’ for internal ERP cloud move

CIO Business Intelligence

IBM is six months into a massive ERP modernization, moving core on-premises systems to Power servers running in its own cloud as it upgrades them from SAP’s legacy ECC software to the cloud-ready S/4HANA. IBM’s ERP transformation will be one of the largest under the “Rise with SAP” umbrella — perhaps rivaling that of Microsoft , which announced its own adoption of Rise with SAP for the first stages of its move to S/4HANA in March 2022.

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Data Analytics is Very Valuable for Companies Improving their Cultures

Smart Data Collective

Data analytics technology is rapidly becoming a more integral part of many company cultures. According to the 2021 State of Data Maturity Report, 32% of companies have formal data strategies. Although they are still the minority, this figure has risen from almost nothing under a decade ago. Data analytics serves many different purposes. We have talked at length about the benefits of using big data to improve financial management and implement more effective marketing strategies.

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Predict Client Subscription Using Logistic Regression

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Logistic Regression This article aims to take you through the process of performing a Logistic Regression algorithm in python to classify whether clients will subscribe to term deposit or not. Logistic Regression is used for classification problems. It is used to […].

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Machine Learning’s Sweet Spot: Pure Approaches in NLP and Document Analysis

KDnuggets

While it is true that Machine Learning today isn’t ready for prime time in many business cases that revolve around Document Analysis, there are indeed scenarios where a pure ML approach can be considered.

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Analytics Vidhya Presents JOB-A-THON – Look No Further for Your Dream Data Science Job

Analytics Vidhya

Have you ever wondered if it is possible to get access to your dream data science job like a piece of cake? Life would be far easier if you didn’t have to scroll through job sites and referral sites to find and apply for the data science jobs you wanted. The ideal scenario each aspiring […]. The post Analytics Vidhya Presents JOB-A-THON – Look No Further for Your Dream Data Science Job appeared first on Analytics Vidhya.

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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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4 Steps for Managing a Data Science Project

KDnuggets

Good planning and preparation will not only improve productivity, but it will help avoid potential pitfalls and roadblocks that could be encountered during project execution.

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Promising Benefits of AI in the Financial Technology Market

Smart Data Collective

Artificial intelligence (AI) is all the rage now. It’s impacting numerous industries globally and changing the way we do things. One of the critical industries AI is making strides in is the financial technology “fintech” industry. AI now plays a significant role in facilitating financial services, replacing what required manual work a few years ago.

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The intelligent, cloud-based contact center: How CCaaS enriches the customer experience

CIO Business Intelligence

CIOs continue to be pressured by business leaders to deliver value that goes beyond just making sure everyone’s computers and servers are running. Among their value objectives is to deliver better customer experiences, according to Foundry’s 2022 State of the CIO. Yet, CIOs must do so amid challenges such as an increasingly lean IT staff, an ongoing workforce shortage, and higher expectations to prove business value with new technology.

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Quick Data Science Tips and Tricks to Learn SAS

KDnuggets

How To Tutorials with SAS data scientists and analytics instructors.

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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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Why feelings matter in the quest for Aussie tech talent

CIO Business Intelligence

In the final quarter of 2021, research by industry analyst firm Gartner suggested close to a third of IT workers in Australia were actively seeking new jobs. This proportion was substantially above that of the broader market, which stood at 23.4% just the previous quarter. Moreover, additional research by Gartner indicated that the rate of IT workers in Australia during the same period with a high intent to remain with their current employer was 19.6%, well below the global figure (29.1%).

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Automating Model Risk Compliance: Model Development

DataRobot Blog

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively). The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the

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Making Everyday AI a Reality: Dataiku Cited in 2022 Gartner® Market Guide Reports for Data Science & ML Platforms

Dataiku

In an announcement from Gartner analysts back in October 2021, it was revealed that the Data Science and Machine Learning Platforms Magic Quadrant will be retired when the currently published research archives. You might be asking yourself, “Wait, why is that?”.

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Product Analytics – How to convert your customers into dollars

Aryng

Your product acts as a bridge between the customer and the dollars (revenue). And I am using the word product quite generously but product in this article refers to product and service. So, the customer navigates through your product, and at some point decides to either make purchases or churn. In either case, it is […] The post Product Analytics – How to convert your customers into dollars appeared first on Aryng's Blog.

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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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Threepeat: Alation Named to Inc. Best Workplaces for Third Time

Alation

At the risk of repeating everyone who has recently written anything, these past few years have been difficult, to say the least. After the pandemic sparked months of chaos and closures, and a complete change in our lives, the world collectively shifted to a work-from-home model that has become the norm for most of us. That brought about its own set of challenges, particularly in how people work and how companies support, engage, and nurture those people.

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Nutanix Announces Red Hat Ansible Certified Content Collection to Speed Application Deployment

Nutanix

Nutanix and Red Hat are working together to accelerate the development and deployment of new container-based, Kubernetes-orchestrated applications.

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What is a customer data platform? A unified customer database

CIO Business Intelligence

Customer data platform defined. A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. Gartner defines a CDP as “a marketing technology that unifies a company’s customer data from marketing and other channels to enable customer modeling and to optimize the timing and targeting of messages and offers.”.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

History and innovations in recent times. Cloud technology and innovation drives data-driven decision making culture in any organization. It is the epitome of modern technology right now with multi-dimensional innovations shaping every layer. It is no surprise that almost all large enterprises and SMEs have shifted a part of their operations to the cloud.

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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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3 Ways to Reduce the Climate Impact of Your Web3 Data

CIO Business Intelligence

By George Trujillo, Principal Data Strategist, DataStax. Web3 is now firmly established as the technology ecosystem that lets developers build decentralized applications. But its reliance on blockchain technology has also raised concerns about its ecological impact. The process of verifying transactions on blockchain requires a huge amount of processing power and consequently lots of electricity.

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