Sat.Nov 09, 2024 - Fri.Nov 15, 2024

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27 Equations Every Data Scientist Needs to Know

Towards AI

Author(s): Julia Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Everybody’s talking about AI, but how many of those who claim to be “experts” can actually break down the math behind it? It’s easy to get lost in the buzzwords and headlines, but the truth is — without a solid understanding of the equations and theories driving these technologies, you’re only skimming the surface.

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Why Mathematics is Essential for Data Science and Machine Learning

insideBIGDATA

In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, explores why mathematics is so integral to data science and machine learning, with a special focus on the areas most crucial for these disciplines, including the foundation needed to understand generative AI.

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Can AI Understand Our Minds?

Towards AI

Last Updated on November 10, 2024 by Editorial Team Author(s): Vita Haas Originally published on Towards AI. Image by Me and AI, My Partner in Crime When it comes to artificial intelligence (AI), opinions run the gamut. Some see AI as a miraculous tool that could revolutionize every aspect of our lives, while others fear it as a force that could upend society and replace human ingenuity.

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4 Practical Tips for Implementing Data-Driven Personalization

Precisely

Key Takeaways: Data used for personalization must be of high quality—accurate, up-to-date, and free of redundancies. 4 Practical Tips for Implementing Data-Driven Personalization in your organization. Many organizations struggle with siloed communication channels, which create fragmented customer experiences. How do you convert the everyday customers into loyal brand enthusiasts?

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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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Fine-tuning large language models (LLMs) for 2025

Dataconomy

Large language models (LLMs) are powerful tools for generating text, but they are limited by the data they were initially trained on. This means they might struggle to provide specific answers related to unique business processes unless they are further adapted. Fine-tuning is a process used to adapt pre-trained models like Llama, Mistral, or Phi to specialized tasks without the enormous resource demands of training from scratch.

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A Guide to 400+ Categorized Large Language Model(LLM) Datasets

Analytics Vidhya

You can find useful datasets on countless platforms—Kaggle, Paperwithcode, GitHub, and more. But what if I tell you there’s a goldmine: a repository packed with over 400+ datasets, meticulously categorised across five essential dimensions—Pre-training Corpora, Fine-tuning Instruction Datasets, Preference Datasets, Evaluation Datasets, and Traditional NLP Datasets and more?

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The Role of Data Engineering in AI and Machine Learning Projects

Dataversity

Artificial intelligence and machine learning are revolutionizing nearly every industry, from healthcare and finance to manufacturing and entertainment. Intelligent assistants, self-driving cars, facial recognition systems, and many other contributions are on the list. However, behind the glitz and glamor of these advancements, there is an underappreciated field: data engineering.

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Why Do Neural Networks Hallucinate (And What Are Experts Doing About It)?

Towards AI

Last Updated on November 11, 2024 by Editorial Team Author(s): Vitaly Kukharenko Originally published on Towards AI. AI hallucinations are a strange and sometimes worrying phenomenon. They happen when an AI, like ChatGPT, generates responses that sound real but are actually wrong or misleading. This issue is especially common in large language models (LLMs), the neural networks that drive these AI tools.

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What AI Hardware Looks Like in 2024

Cassie Kozyrkov

Explaining the CPUs, GPUs, and NPUs in Intel ® ’s AI PCs Sponsored by Intel® So there I was — an AI person without an AI laptop. And no, not that kind of AI person; my ability to run an all-day AI workshop with barely a bio break has led a few of you to ask whether I am indeed a member of your species. (It turns out I’m an espresso-based lifeform.) This blog post, however, is sponsored by Intel, not espresso because… there I was, an AI person without an AI laptop.

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IBM Launches Its Most Advanced Quantum Computers, Fueling New Scientific Value and Progress towards Quantum Advantage

insideBIGDATA

IBM (NYSE: IBM) announced quantum hardware and software advancements to execute complex algorithms on IBM quantum computers with record levels of scale, speed, and accuracy.

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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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How to Learn AI the Lazy Way

KDnuggets

Embrace your inner lazy learner and focus on being efficient with your time and energy.

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Distributed Intelligence, Nutanix Extends AI To Public Cloud

Adrian Bridgwater for Forbes

Nutanix Enterprise AI provides a unified generative AI experience on-premises, at the edge and now in public clouds

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AI Agent Systems: Modular Engineering for Reliable Enterprise AI Applications

databricks

Monolithic to Modular The proof of concept (POC) of any new technology often starts with large, monolithic units that are difficult to characterize.

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AI Hallucinations Are Inevitable—Here’s How We Can Reduce Them

insideBIGDATA

In this contributed article, Ulrik Stig Hansen, President and Co-Founder of Encord, discusses the reality – AI hallucinations aren’t bugs in the system—they’re features of it. No matter how well we build these models, they will hallucinate. Instead of chasing the impossible dream of eliminating hallucinations, our focus should be on rethinking model development to reduce their frequency and implementing additional steps to mitigate the risks they pose.

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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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A New Python Package Manager

KDnuggets

Manage Python projects, run scripts and tools, handle dependencies, and install packages—all with the uv tool.

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A Step Up, Cloud Native Computing Foundation Certifies Platform Engineering

Adrian Bridgwater for Forbes

When the CNCF decides to codify a software discipline with a certification (such as) for platform engineering, developers, data & cloud pros are typically interested.

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5 Ways to Get Kickstarted with Databricks at AWS re:Invent

databricks

Databricks is turning up the heat at AWS re:Invent 2024 , and we’re bringing more than just data and AI solutions to the.

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AI Automation: A New Era in Business Efficiency and Innovation

insideBIGDATA

In this contributed article, Dmitry Shapiro, Founder & CEO of MindStudio, discusses how businesses worldwide are recognizing the potential of AI to not only streamline complex, data-heavy tasks but also to redefine traditional job roles, preparing organizations to thrive in an increasingly fast-paced, data-centric landscape.

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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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Getting Addicted to Coding

KDnuggets

Check out this guide to coding for unmotivated students.

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Build Your Own YT and Web Summarizer with LangChain

Analytics Vidhya

In the age of information overload, it’s easy to get lost in the large amount of content available online. YouTube offers billions of videos, and the internet is filled with articles, blogs, and academic papers. With such a large volume of data, it’s often difficult to extract useful insights without spending hours reading and watching. […] The post Build Your Own YT and Web Summarizer with LangChain appeared first on Analytics Vidhya.

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Building a Modern Clinical Trial Data Intelligence Platform

databricks

In an era where data is the lifeblood of medical advancement, the clinical trial industry finds itself at a critical crossroads. The current.

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Why Auto-Tiering is Essential for AI Solutions: Optimizing Data Storage from Training to Long-Term Archiving 

insideBIGDATA

In this contributed article, Gal Naor, Co-Founder and CEO of Storone, explores why auto-tiering is essential for AI solutions in terms of data storage. By embracing auto-tiering, AI-driven organizations can ensure they meet both the demands of today’s data-intensive environments and the challenges of tomorrow.

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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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How to Implement a Basic Reranking System in RAG

KDnuggets

A practical guide to easily implement a reranker capable of putting together multiple document scoring criteria in RAG systems

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A Guide to Flax: Building Efficient Neural Networks with JAX

Analytics Vidhya

Flax is an advanced neural network library built on top of JAX, aimed at giving researchers and developers a flexible, high-performance toolset for building complex machine learning models. Flax’s seamless integration with JAX enables automatic differentiation, Just-In-Time (JIT) compilation, and support for hardware accelerators, making it ideal for both experimental research and production.

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The state of enterprise AI: How early adopters are driving success

databricks

When the Generative AI boom first ignited, every enterprise rushed to deploy the technology. For many, that excitement remains. But companies are also.

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At 2024 AI Hardware & Edge AI Summit: Prasad Jogalekar, Head of Global AI and Accelerator Hub, Ericsson

insideBIGDATA

At the recent 2024 AI Hardware & Edge AI Summit in San Jose, Calif., I caught up with Prasad Jogalekar, Head of Global AI and Accelerator Hub at Ericsson, a Sweden based telecomm multinational.

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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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Interested in Learning How to Code?

KDnuggets

Continue reading to learn about some beginner-friendly courses to kickstart your coding career.

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Zero-shot Object Detection with Owl ViT Base Patch32

Analytics Vidhya

Owl ViT is a computer vision model that has become very popular and has found applications across various industries. This model takes in an image and a text query as input. After the image processing, the output comes with a confidence score and the object’s location (from the text query) in the image. This model’s […] The post Zero-shot Object Detection with Owl ViT Base Patch32 appeared first on Analytics Vidhya.

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Scaling MATLAB and Simulink models with Databricks and Mathworks

databricks

Whether you’re coming from healthcare, aerospace, manufacturing, government or any other industries the term big data is no foreign concept; however how that.

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Cloudera to Acquire Octopai’s Platform to Deliver Trusted Data Across the Entire Hybrid Cloud Data Estate

insideBIGDATA

Cloudera, the hybrid platform for data, analytics, and AI, announced that it entered into a definitive agreement with Octopai B.I. Ltd. (Octopai) to acquire Octopai’s data lineage and catalog platform that enables organizations to understand and govern their data.

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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.