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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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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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.

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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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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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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.

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Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

Imagine a world where bustling office spaces fell silent, and the daily commute became a distant memory. When COVID-19 hit, that world became a reality, transforming how we work. Remote work quickly transitioned from a perk to a necessity, and data science—already digital at heart—was poised for this change. According to a recent report from Gartner, 47% of employers are open to full-time remote work even beyond the pandemic, highlighting a massive shift in the job landscape.

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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

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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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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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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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ChatGPT adds chat history feature for web

Dataconomy

OpenAI has introduced a chat history feature to ChatGPT that makes it easier for users to search through their past conversations. The new tool, announced on X (formerly Twitter), allows users to find vital information from previous chats quickly and conveniently. The feature is being gradually rolled out to different user groups, starting with Plus and Team users.

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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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DeepL to Debut NVIDIA DGX SuperPOD with DGX GB200 Systems in Europe

insideBIGDATA

The purchase — the biggest yet for DeepL — is among first NVIDIA DGX SuperPOD with DGX GB200 systems and will fuel DeepL’s industry-leading Language AI platform DeepL, a leading global Language AI company, today announced it will be among the first to commercially deploy the NVIDIA DGX SuperPOD with DGX GB200 systems.

AI 221
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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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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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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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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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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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Innovations in Analytics: Elevating Data Quality with GenAI

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Jonas Dieckmann Originally published on Towards AI. Data analytics has become a key driver of commercial success in recent years. The ability to turn large data sets into actionable insights can mean the difference between a successful campaign and missed opportunities. However, data quality is still a major challenge: if the data that is fed into a model lacks quality/consistency, the resulting output will also be of low quality.

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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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Building an Earnings Report Agent with Swarm Framework

Analytics Vidhya

Imagine if you could automate the tedious task of analyzing earnings reports, extracting key insights, and making informed recommendations—all without lifting a finger. In this article, we’ll walk you through how to create a multi-agent system using OpenAI’s Swarm framework, designed to handle these exact tasks. You’ll learn how to set up and orchestrate three […] The post Building an Earnings Report Agent with Swarm Framework appeared first on Analytics Vidhya.

Analytics 221
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Discover insights from Gmail using the Gmail connector for Amazon Q Business

AWS Machine Learning Blog

A number of organizations use Gmail for their business email needs. Gmail for business is part of Google Workspace , which provides a set of productivity and collaboration tools like Google Drive , Gmail , and Google Calendar. Google Drive supports storing documents such as Emails contain a wealth of information found in different places, such as within the subject of an email, the message content, or even attachments.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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This Pandas Trick Will Blow Your Mind As a Data Scientist!

Towards AI

Last Updated on November 1, 2024 by Editorial Team Author(s): Gencay I. Originally published on Towards AI. Automate Data Analysis with Pandas This member-only story is on us. Upgrade to access all of Medium. Created with Abidin Dino AI, to reach it, consider being Paid subscriber to LearnAIWithMe, here Pandas is undoubtedly the most powerful data science library, but what if I told you that you could automate data analysis and complete your work with just a click?

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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.

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Hands-On Multimodal Retrieval and Interpretability (ColQwen + Vespa)

Analytics Vidhya

Imagine trying to navigate through hundreds of pages in a dense document filled with tables, charts, and paragraphs. Finding a specific figure or analyzing a trend would be challenging enough for a human; now imagine building a system to do it. Traditional document retrieval systems often rely heavily on text extraction, losing critical context provided […] The post Hands-On Multimodal Retrieval and Interpretability (ColQwen + Vespa) appeared first on Analytics Vidhya.

Analytics 245
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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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Apache Airflow® Best Practices: 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!