Thu.Jul 15, 2021

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A Step by Step Guide to Create a CI/CD Pipeline with AWS Services

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview In this article, we will learn about how to create. The post A Step by Step Guide to Create a CI/CD Pipeline with AWS Services appeared first on Analytics Vidhya.

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Amazon is a Vendor of Merit in 2021 Value Index for Analytics and Data

David Menninger's Analyst Perspectives

We are happy to share some insights about Amazon QuickSight drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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Let’s Understand How does a chatbot work ?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A technology that makes the interaction between humans and machines. The post Let’s Understand How does a chatbot work ? appeared first on Analytics Vidhya.

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Why Your Business Should Use a Data Catalog to Organize Its Data

Smart Data Collective

Imagine searching through boxes of receipts and statements, trying to find the ones you need to file this year’s income taxes. You’d probably get frustrated, overlook some things, and maybe even find that other items are missing. It’s what many people went through before the advent of the personal computer and apps that automatically categorize expenses.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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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Numpy :A Hands ON For Beginners

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon What is NumPy and Why NumPy is an important library to. The post Numpy :A Hands ON For Beginners appeared first on Analytics Vidhya.

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Impact of Machine Learning on the World of Online Trading

Smart Data Collective

Machine learning technology has completely changed the future of the financial sector. A number of major financial verticals have become more reliant on AI, including insurance, banking, securities brokers and financial planning services. Role of Machine Learning in Financial Securities Trading. One of the biggest changes brought on by machine learning has been with trading stocks , bonds, derivatives and other financial securities.

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Keys to DataOps Transformation

DataKitchen

The post Keys to DataOps Transformation first appeared on DataKitchen.

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The People’s Data Catalog: Alation Featured as Top Choice in Eckerson’s Latest Report

Alation

Many data catalog initiatives fail. How can prospective buyers ensure they partner with the right catalog to drive success? According to the latest report from Eckerson Group, Deep Dive on Data Catalogs , shoppers must match the goals of their organizations to the capabilities of their chosen catalog. A data catalog’s approach is key. Does it match the goals and approach of the organization?

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A Reference Architecture for the Cloudera Private Cloud Base Data Platform

Cloudera

Introduction and Rationale. The release of Cloudera Data Platform (CDP) Private Cloud Base edition provides customers with a next generation hybrid cloud architecture. This blog post provides an overview of best practice for the design and deployment of clusters incorporating hardware and operating system configuration, along with guidance for networking and security as well as integration with existing enterprise infrastructure.

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7 ‘C’s of Automation with Power Platform

Jen Stirrup

Don’t know where to start on your Power Platform journey? How can you help your company to evolve, adapt and succeed using Microsoft’s Power Platform to stay at the forefront of the competition, and win the race to success? What are the benefits that the future of technology could bring to you and our organisations, right now? Here are some ideas for automation, which will have a business impact right away.

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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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Optimizing Risk and Exposure Management – Roundtable Highlights

Cloudera

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. . In this session we explored what firms are doing to approach the uncertainty with more predictability.

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5 Ways MLOps Improves Data Science Projects

Dataiku

This blog was written by our friends at STATWORX , a consulting and development company for data science, machine learning, and AI based in Frankfurt and Zurich. They support their customers from data strategy to the development and implementation of data projects to the upskilling of their employees through a wide range of training courses.

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The Post-Pandemic Supply Chain: Time to Go Back to Basics?

Teradata

Learn how complexities baked into the data analytics ecosystems of supply chains can be simplified to eliminate redundancy, increase time to value, and reduce cost.

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Data Science Tools: Understanding the Multiverse

Domino Data Lab

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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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Windows OS Optimization Essentials Part 2: Microsoft Store

Nutanix

Operating systems can end up being a lot of work for administrators. They need to work to configure the image, install the applications, and provide the best user experience possible. As with any software, what is provided to you is what the developer intended, but not necessarily what you want or need for your end users.

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Data Science Tools: Understanding the Multiverse

Domino Data Lab

In the multiverse of data science, the tool options continue to expand and evolve. While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools. As new team members with varying backgrounds are added, as new sources of data are made available from different platforms, or new deliverables are required from stakeholders, allegiance to a

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Four Benefits of Scenario Modeling in Excel

Jet Global

There’s an old saying in the business world that “All forecasts are wrong.” There’s another adage, often repeated by military leaders, that says “no plan of battle ever survives first contact with the enemy.”. Despite these limitations, every smart business relies upon planning, forecasting, and scenario modeling to establish reasonable parameters for understanding what the future might hold, setting a strategy for the organization, and determining which actions to take in both the short and lon