Sat.Dec 03, 2022 - Fri.Dec 09, 2022

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We Don’t Need Data Scientists, We Need Data Engineers

KDnuggets

As more people are entering the field of Data Science and more companies are hiring for data-centric roles, what type of jobs are currently in highest demand? There is so much data in the world, and it just keeps flooding in, it now looks like companies are targeting those who can engineer that data more than those who can only model the data.

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XAI: Accuracy vs Interpretability for Credit-Related Models

Analytics Vidhya

Introduction The global financial crisis of 2007 has had a long-lasting effect on the economies of many countries. In the epic financial and economic collapse, many lost their jobs, savings, and much more. When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […]. The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya.

Analytics 383
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Dawn AI simplifies AI image generation for you

Dataconomy

Dawn AI generated art app is the latest addition to products related to technology and art integration. Dawn AI’s intuitive interface makes it easy to generate high-quality images using artificial intelligence, and believe us, simplifying art it is not the only feature of Dawn AI. If you’re having trouble finding.

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CockroachDB Toughens Shell For Data-Intense Journey To Cloud

Adrian Bridgwater for Forbes

Data is intense. It’s intense because it’s important, it’s intense because it is often deeply layered to a rich degree affording it a kind of inherent intensity… and data is also intense because it now forms what the tech industry likes to call data-intensive applications.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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How to Use Analytics to Accelerate Business Growth?

KDnuggets

Many organizations are establishing a Data Analytics team to reap the benefits of their key strategic asset i.e. data. The post explains how you can leverage the power of analytics to understand the end user and generate actionable insights.

Analytics 395
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A Guide to Vyper and its Environments

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction From the current trends in technology, a lot is likely to become more sophisticated. One area we will look at is the new technology known as Vyper, which is a programming language for developing apps on the web 3. This type of […]. The post A Guide to Vyper and its Environments appeared first on Analytics Vidhya.

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IBM® Federated Learning with Homomorphic Encryption

IBM Data Science in Practice

IBM Federated Learning enables you to train a machine learning model across multiple decentralized parties holding local data sets, without sharing the local data sets. Such parties can be for example within an enterprise, within a consortium of enterprises, within multiple data centers or multiple clouds, or on edge devices. This allows to build a collective machine learning model without sharing data between the parties, therefore addressing data security, privacy, and regulatory compliance re

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4 Useful Intermediate SQL Queries for Data Science

KDnuggets

SQL is the essential language for developers, engineers, and data professionals. Intermediate knowledge in SQL gives you an edge in your data science career.

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Explaining MLOps using MLflow Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be seeing MLOps from the dimension of one of the powerful tools that make it easy to implement. These tool help to improve the deployment process for robust machine-learning projects. We will start by briefly seeing MLOps […]. The post Explaining MLOps using MLflow Tool appeared first on Analytics Vidhya.

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Tencent entered the world of AI art with QQ Different Dimension Me

Dataconomy

With QQ Different Dimension Me, you will finally find your anime version: But first, you should learn how to use Tencent Anime AI, and don’t worry; you have come to the right place for it. AI craze takes over the Internet, and a new AI tool pops up daily. Our.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Data Threads: Address Verification Interface

IBM Data Science in Practice

One of the key elements that builds a data fabric architecture is to weave integrated data from many different sources, transform and enrich data, and deliver it to downstream data consumers. IBM Multicloud Data Integration helps organizations connect data from disparate sources, build data pipelines, remediate data issues, enrich data, and deliver integrated data to multicloud platforms where it can easily accessed by data consumers or built into a data product.

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How Artificial Intelligence Will Change Mobile Apps

KDnuggets

There are numerous ways in which Artificial Intelligence (AI) will change the way we use mobile apps. As more and more users shift towards tablet computers and various mobile platforms, developers are coming up with new ideas for improving user experience. AI holds many key factors for the future of mobile app development and could indeed prove to be a game changer on almost all fronts.

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Join us for free for upcoming DataHour Sessions

Analytics Vidhya

Introduction Having Technical skills and knowledge is one of the best ways to get a hike in your career path. Keeping this in mind, many working professionals and students have started upskilling themselves. But you need to brush up on your Technical skills periodically to get the latest knowledge. To upskill yourself, and expand your […]. The post Join us for free for upcoming DataHour Sessions appeared first on Analytics Vidhya.

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Enterprise cloud storage is the foundation for a successful remote workforce

Dataconomy

The widespread adoption of enterprise cloud storage has the potential to change the way that businesses operate in the future fundamentally. As more and more organizations move their data and applications to the cloud, the need for on-premises IT infrastructure will decrease, and businesses will become increasingly reliant on cloud-based.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Israeli Software Engineering Start-Up Creates Simulation Training ‘Quests’

Adrian Bridgwater for Forbes

Wilco enables software engineers to emulate the conditions at a tech startup. The software sends users on ‘quests’ that cover everyday engineering tasks - from deploying an app to finding the root cause of a live software production issue - utilizing real-life technology, but in a safe environment.

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7 Essential Cheat Sheets for Data Engineering

KDnuggets

Learn about the data life cycle, PySpark, dbt, Kafka, BigQuery, Airflow, and Docker.

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Simplify Data Migration with AWS DMS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction DMS is a service that makes it easy to migrate on-premise databases into the cloud with minimal or no downtime. It can even monitor the changes in the original database and apply them to the new database. DMS supports […]. The post Simplify Data Migration with AWS DMS appeared first on Analytics Vidhya.

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What would your anime version be like? Ask Meitu AI Art

Dataconomy

Meitu AI Art anime filter trend takes over TikTok and other social media platforms. The recent online craze allows users to turn selfies into anime images. As you may have noticed, the feeds on TikTok and Twitter are full of anime images, and a well-known photo editing tool has once.

AI 181
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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The Evolving Role Of Software Evangelism

Adrian Bridgwater for Forbes

As software evangelism straddles open source and big business (and internal advocacy), it must now grow to become a new system of belief that enables us to execute software application development more prudently, more competently and with greater care for one another.

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Top Posts November 28 – December 4: The Complete Data Engineering Study Roadmap

KDnuggets

The Complete Data Engineering Study Roadmap • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Top 10 Data Science Myths Busted • What is Chebychev’s Theorem and How Does it Apply to Data Science? • Scikit-learn for Machine Learning Cheatsheet.

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Comparison of Text Generations from GPT and GPT-2

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction The real-world data can be very messy and skewed, which can mess up the effectiveness of the predictive model if it is not addressed correctly and in time. The consequences of skewness become more pronounced when a large model is […]. The post Comparison of Text Generations from GPT and GPT-2 appeared first on Analytics Vidhya.

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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Elon Musk, Pikachu, God, and more are waiting for the talk with you in Character AI

Dataconomy

Thanks to the Character AI, the science-fiction dream of collaborative interactions and open-ended dialogues with machines is becoming a reality. Although it is still beta, the outcomes are outstanding. You can chat with Elon Musk, learn English from Pikachu, or even talk to the God! So how does Character AI.

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3 Free Machine Learning Courses for Beginners

KDnuggets

Begin your machine learning career with free courses by Georgia Tech, Stanford, and Fast AI.

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Using AWS S3 with Python boto3

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction AWS S3 is one of the object storage services offered by Amazon Web Services or AWS. It allows users to store and retrieve files quickly and securely from anywhere. Users can combine S3 with other services to build numerous scalable […]. The post Using AWS S3 with Python boto3 appeared first on Analytics Vidhya.

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5 Ways to Streamline Your Business Data for Maximum Efficiency

Smart Data Collective

In today’s digital world, businesses need to be able to access and analyze their data quickly and efficiently. Streamlining business data is an important part of achieving maximum efficiency. By streamlining your business data, you can save money and increase productivity with less overhead. Whether you’re running a small business or a large-scale multinational company, your data is an important part of your daily operations.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Say goodbye to expensive on-premises hardware with UCaaS

Dataconomy

The adoption of unified communications as a service (UCaaS) is on the rise among organizations of all sizes and industries. In the age of digitization, “as a service” models have become increasingly important for businesses looking to adapt and thrive. By providing access to specialized technology, expertise, and infrastructure on.

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Introduction to Data Visualization Using Matplotlib

KDnuggets

Data Visualization is an important aspect of Data Science that enables the data to speak for itself by uncovering the hidden details. Follow this guide to get started with Matplotlib which is one of the most widely used plotting libraries in Python.

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Get Started with Serving Watson NLP Models

IBM Data Science in Practice

The IBM Watson NLP Library for Embed is a containerized library intended to be embedded into partner applications in order to provide natural language capabilities. This article will take you through the steps to start serving Watson NLP models using standalone containers. The idea is to build a container image that includes both the models to be served, as well as the runtime that serves the models.

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Supervised Training of Conditional Monge Maps

Machine Learning Research at Apple

Optimal transport (OT) theory describes general principles to define and select, among many possible choices, the most efficient way to map a probability measure onto another. That theory has been mostly used to estimate, given a pair of source and target probability measures , a parameterized map that can efficiently map onto. In many applications, such as predicting cell responses to treatments, the data measures (features of untreated/treated cells) that define optimal transport problems do n

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.