Sat.Oct 26, 2024 - Fri.Nov 01, 2024

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5 Data Science Case Studies Worth Your Attention

Pickl AI

Summary: This article delves into five real-world data science case studies that highlight how organisations leverage Data Analytics and Machine Learning to address complex challenges. From healthcare to finance, these examples illustrate the transformative power of data-driven decision-making and operational efficiency. Introduction Data Science has emerged as a transformative force across various industries , leveraging vast amounts of data to drive decision-making and innovation.

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How to Choose the Best Data Science Program

Pickl AI

Summary: Choosing the right Data Science program is essential for career success. This guide covers key factors such as curriculum evaluation, learning formats, networking, mentorship opportunities, and cost considerations to help you make an informed choice. Introduction Choosing the right Data Science program is a crucial step for anyone looking to enter or advance in this rapidly evolving field.

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The AI Revolution: How Machine Learning has Changed the World in Two Years

insideBIGDATA

In this contributed article, Ashley Marron, CEO of MindGenius, observes that as we approach the second anniversary of the launch of ChatGPT, it's important to look at the impact AI has had on business technology, radically changing how companies and industries work, in that short time.

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Even Google is using AI for coding

Dataconomy

Google is making big moves with artificial intelligence (AI), and it’s not just talk. Over a quarter of all new code at Google is now AI-generated. That’s according to CEO Sundar Pichai, who shared these details during Google’s Q3 2024 earnings call. Google is leaning heavily on generative AI to make coding faster and more efficient, and it’s having a real impact on the company.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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How Data Science Helps Fight Synthetic Identity Fraud

ODSC - Open Data Science

Various technological advancements have made synthetic identity theft easier than ever. At the same time, massive breaches are exposing sensitive personally identifiable information (PII) at an unnerving rate. Can data science techniques protect individuals’ identities? What Is Synthetic Identity Fraud? Synthetic identity fraud is a type of identity theft that occurs when a fraudster uses some combination of real and fake credentials to steal someone’s identity and commit financial fraud.

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5 Tips for Participating In A Data Science Bootcamp

Pickl AI

Summary: Data Science Bootcamps offer a fast and cost-effective way to gain essential skills for a Data Science career. With hands-on projects, networking opportunities, and dedicated career support, participants are well-prepared to enter the job market quickly and effectively. Introduction Data Science Bootcamp are intensive program designed to teach essential skills quickly.

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From data to delivery: How GenAI will shape the future of public service

SAS Software

Generative AI (GenAI) initiatives should support broader public goals and needs, says global AI and analytics firm SAS’ Ensley Tan. While governments recognize GenAI's potential to improve operational efficiency and citizen experience, there is more to it than setting up projects and expecting them to work. Tan, Asia-Pacific Lead for Public [.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning Blog

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. Many businesses want to integrate these cutting-edge AI capabilities with their existing collaboration tools, such as Google Chat, to enhance productivity and decision-making processes.

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Classification of MRI Scans using Radiomics and MLP

Analytics Vidhya

Tumors, which are abnormal growths that can develop on brain tissues, pose significant challenges to the Central Nervous System. To detect unusual activities in the brain, we rely on advanced medical imaging techniques like MRI and CT scans. However, accurately identifying tumors can be complex due to their diverse shapes and textures, requiring careful analysis […] The post Classification of MRI Scans using Radiomics and MLP appeared first on Analytics Vidhya.

Analytics 270
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New HackerRank Research Highlights How GenAI is Changing Software Development

insideBIGDATA

HackerRank, the Developer Skills Company, announced the release of its AI Skills Report. The AI Skills Report analyzed millions of data points from developers using HackerRank to seek jobs at some of the world's largest companies.

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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7 Computer Vision Projects for All Levels

KDnuggets

Each project, from beginner tasks like Image Classification to advanced ones like Anomaly Detection, includes a link to the dataset and source code for easy access and implementation.

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Announcing the General Availability of Step-Through Debugging in Databricks Notebooks and Files

databricks

We are thrilled to announce the General Availability of a Python step-through debugger for Databricks Notebooks and Files. This highly requested feature allows.

Python 298
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On Device Llama 3.1 with Core ML

Machine Learning Research at Apple

Many app developers are interested in building on device experiences that integrate increasingly capable large language models (LLMs). Running these models locally on Apple silicon enables developers to leverage the capabilities of the user's device for cost-effective inference, without sending data to and from third party servers, which also helps protect user privacy.

ML 338
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Why Data Quality is the Secret Ingredient to AI Success

insideBIGDATA

In this contributed article, engineering leader Uma Uppin emphasizes that high-quality data is fundamental to effective AI systems, as poor data quality leads to unreliable and potentially costly model outcomes. Key data attributes like accuracy, completeness, consistency, timeliness, and relevance play crucial roles in shaping AI performance and minimizing ethical risks.

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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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Model Selection and Experimentation Automation with LLMs

KDnuggets

Automate the machine learning modelling important step with LLMs.

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Announcing General Availability: Publish to Microsoft Power BI Service from Unity Catalog

databricks

We're excited to announce the General Availability of Publish to Microsoft Power BI Service from Unity Catalog, an integration that makes it easy.

Power BI 299
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Anomaly Detection Techniques in Large-Scale Datasets

Machine Learning Mastery

Anomaly detection means finding patterns in data that are different from normal. These unusual patterns are called anomalies or outliers. In large datasets, finding anomalies is harder. The data is big, and patterns can be complex. Regular methods may not work well because there is so much data to look through.

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Survey Finds Over Half of AI Startup Founders Are Using Four Or More Foundational Models

insideBIGDATA

Costanoa Ventures, a boutique early-stage B2B venture capital firm, released findings from a survey of founders building in the AI space, "Building an AI-Native Startup," offering a snapshot of the AI-native startup ecosystem. The survey includes insights into how founders building in AI approach hiring AI talent, the tools they use, and the challenges that keep them up at night.

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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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How to Learn SQL the Lazy Way

KDnuggets

This is a simple guide for lazy people who want to learn SQL with minimal effort.

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Building a Virtual Try-On Chatbot on WhatsApp with Flask, Twilio, and Gradio API

Analytics Vidhya

In today’s age of rapid technological advancements, virtual try-on chatbot are revolutionizing how users experience shopping by allowing them to “try on” garments before making a purchase. This article will walk you through a virtual try-on prototype built using Flask, Twilio’s WhatsApp API, and Hugging Face’s Gradio API, which enables users to send photos via WhatsApp and […] The post Building a Virtual Try-On Chatbot on WhatsApp with Flask, Twilio, and Gradio API appeared first on Analyt

Analytics 284
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Leveraging Transfer Learning in Computer Vision for Quick Wins

Machine Learning Mastery

Computer vision (CV) is a field where machines learn to “see” and understand images or videos. It helps machines recognize objects, faces, and even actions in photos or videos. For example, CV is used in self-driving cars to detect road signs and people, or in medical scans to spot diseases.

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UiPath Integrates Anthropic Claude Language Models to Deliver Next Generation AI Assistant and Solutions

insideBIGDATA

UiPath embeds Anthropic’s Claude LLMs to fuel UiPath Autopilot for everyone, Clipboard AI, and a new GenAI healthcare solution to offer customers improved productivity, cost savings, and decision-making capabilities UiPath (NYSE: PATH), a leading enterprise automation and AI software company, announced the integration of Anthropic’s large language model (LLM), Claude 3.

AI 284
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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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10 Useful Python One-Liners for Data Cleaning

KDnuggets

Here are some useful Python one-liners for common data cleaning tasks.

Python 358
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Aimpoint Digital: Leveraging Delta Sharing for Secure and Efficient Multi-Region Model Serving in Databricks

databricks

When serving machine learning models, the latency between requesting a prediction and receiving a response is one of the most critical metrics for.

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10 Python One-Liners That Will Boost Your Data Science Workflow

Machine Learning Mastery

Python is the most popular data science programming language, as it’s versatile and has a lot of support from the community. With so much usage, there are many ways to improve our data science workflow that you might not know.

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Guide to Lightning-fast JAX

Analytics Vidhya

Hey there, fellow Python enthusiast! Have you ever wished your NumPy code run at supersonic speed? Meet JAX! Your new best friend in your machine learning, deep learning, and numerical computing journey. Think of it as NumPy with superpowers. It can automatically handle gradients, compile your code to run fast using JIT, and even run […] The post Guide to Lightning-fast JAX appeared first on Analytics Vidhya.

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

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Fine-Tuning GPT-4o

KDnuggets

Learn how to enhance GPT-4o performance for legal text clarification on your old laptop with just a few lines of code.

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DataStax Expands Astra DB Extension for GitHub Copilot to Support Its AI PaaS, Empowering Developers to Build and Deploy GenAI Applications With Ease

insideBIGDATA

DataStax, a leading AI platform, today announced the enhancement of its GitHub Copilot extension with its cutting-edge AI Platform-as-a-Service (AI PaaS) solution.

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Metronome Checks Box For Usage-Based IT Pricing

Adrian Bridgwater for Forbes

IT billing helps control software systems and see whether the “only pay for what you need” promise of cloud computing ever really manifests itself in the real world.

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8 Popular Tools for RAG Applications

Analytics Vidhya

In today’s AI landscape, the ability to integrate external knowledge into models, beyond the data they were initially trained on, has become a game-changer. This advancement is driven by Retrieval Augmented Generation, in short RAG. RAG allows AI systems to dynamically access and utilize external information. Various tools have emerged to simplify both the integration […] The post 8 Popular Tools for RAG Applications appeared first on Analytics Vidhya.

Analytics 277
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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.