November, 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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Discrete vs Continuous Data Distributions: Which One to Use?

Data Science Dojo

In the realm of data analysis, understanding data distributions is crucial. It is also important to understand the discrete vs continuous data distribution debate to make informed decisions. Whether analyzing customer behavior, tracking weather, or conducting research, understanding your data type and distribution leads to better analysis, accurate predictions, and smarter strategies.

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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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Time-series forecasting through recurrent topology

Hacker News

Time-series forecasting is a practical goal in many areas of science and engineering. Common approaches for forecasting future events often rely on highly parameterized or black-box models. However, these are associated with a variety of drawbacks including critical model assumptions, uncertainties in their estimated input hyperparameters, and computational cost.

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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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Understanding Autoencoders in Deep Learning

Pickl AI

Summary: Autoencoders are powerful neural networks used for deep learning. They compress input data into lower-dimensional representations while preserving essential features. Their applications include dimensionality reduction, feature learning, noise reduction, and generative modelling. Autoencoders enhance performance in downstream tasks and provide robustness against overfitting, making them versatile tools in Machine Learning.

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How Dataiku and Snowflake Strengthen the Modern Data Stack

phData

The modern data stack is defined by its ability to handle large datasets, support complex analytical workflows, and scale effortlessly as data and business needs grow. It must integrate seamlessly across data technologies in the stack to execute various workflows—all while maintaining a strong focus on performance and governance. Two key technologies that have become foundational for this type of architecture are the Snowflake AI Data Cloud and Dataiku.

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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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On-Device AI: Making AI Models Deeper Allows Them to Run on Smaller Devices

Dataconomy

On-device AI and running large language models on smaller devices have been one of the key focus points for AI industry leaders over the past few years. This area of research is among the most critical in AI, with the potential to profoundly influence and reshape the role of AI, computers, and mobile devices in everyday life. This research operates behind the scenes, largely invisible to users, yet mirrors the evolution of computers — from machines that once occupied entire rooms and were access

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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services.

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70% of Firms Disrupted by AI: New Endava Research

insideBIGDATA

Endava a leading tech services provider, launched its latest research report with IDC titled, "The Next Wave of Digital Transformation in the Era of the AI-Powered Digital Shift.

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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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Top 7 Data Science, Large Language Model, and AI Blogs of 2024

Data Science Dojo

The fields of Data Science, Artificial Intelligence (AI), and Large Language Models (LLMs) continue to evolve at an unprecedented pace. To keep up with these rapid developments, it’s crucial to stay informed through reliable and insightful sources. In this blog, we will explore the top 7 LLM, data science, and AI blogs of 2024 that have been instrumental in disseminating detailed and updated information in these dynamic fields.

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Riverlane Navigates Upstream On Quantum Error Correction

Adrian Bridgwater for Forbes

The use of quantum error correction techniques is supposed to help us get out of the Noisy Intermediate Scale Quantum (NISQ) era.

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Massive Black Friday Deals for Machine Learning Fans!

KDnuggets

Black Friday is finally here, and so are huge savings for your machine learning journey!

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Building Your First Chatbot: A Hands-On Tutorial with Open-Source Tools

Machine Learning Mastery

A chatbot is a computer program that can talk to people. It can answer questions and help users anytime. You don’t need to know a lot about coding to make one. There are free tools that make it simple and fun. In this article, we will use a tool called ChatterBot.

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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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Booting Databricks VMs 7x Faster for Serverless Compute

databricks

The Databricks Serverless compute infrastructure launches and manages millions of virtual machines (VMs) each day across three major cloud providers, and it is.

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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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Simplifying API Interactions with LangChain’s Requests Toolkit and ReAct Agents

Data Science Dojo

RESTful APIs (Application Programming Interfaces) are an integral part of modern web services, and yet as the popularity of large language models (LLMs) increases, we have not seen enough APIs being made accessible to users at the scale that LLMs can enable. Imagine verbally telling your computer, “Get me weather data for Seattle” and have it magically retrieve the correct and latest information from a trusted API.

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The New Tablestakes, AI Tools That Go To Work

Adrian Bridgwater for Forbes

As the IT trade now comes out of its AI honeymoon period, we can enjoy real world intelligence tools that perform tasks & help us progress towards better societies.

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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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Demystifying Ensemble Methods: Boosting, Bagging, and Stacking Explained

Machine Learning Mastery

Unity makes strength. This well-known motto perfectly captures the essence of ensemble methods: one of the most powerful machine learning (ML) approaches -with permission from deep neural networks- to effectively address complex problems predicated on complex data, by combining multiple models for addressing one predictive task.

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How to present and share your Notebook insights in AI/BI Dashboards

databricks

We’re excited to announce a new integration between Databricks Notebooks and AI/BI Dashboards, enabling you to effortlessly transform insights from your notebooks into.

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Is AI-Powered Surveillance Contributing to the Rise of Totalitarianism?

insideBIGDATA

In this contributed article, Aayam Bansal explores the increasing reliance on AI in surveillance systems and the profound societal implications that could lead us toward a surveillance state. This piece delves into the ethical risks of AI-powered tools like predictive policing, facial recognition, and social credit systems, while raising the question: Are we willing to trade our personal liberties for the promise of safety?

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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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Streaming Langchain: Real-time Data Processing with AI

Data Science Dojo

As the world becomes more interconnected and data-driven, the demand for real-time applications has never been higher. Artificial intelligence (AI) and natural language processing (NLP) technologies are evolving rapidly to manage live data streams. They power everything from chatbots and predictive analytics to dynamic content creation and personalized recommendations.

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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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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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Building a Robust Machine Learning Pipeline: Best Practices and Common Pitfalls

Machine Learning Mastery

In real life, the machine learning model is not a standalone object that only produces a prediction. It is part of an extended system that can only provide values if we manage it together. We need the machine learning (ML) pipeline to operate the model and deliver value.

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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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Top 10 Marketplace Questions, Answered

databricks

Databricks Marketplace is an open marketplace for data, analytics, and AI, powered by the open-source Delta Sharing standard. Since the release of Databricks.

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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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What is Adaptive Gradient(Adagrad) Optimizer?

Analytics Vidhya

Imagine you’re planting a garden with a variety of plants, each requiring a different amount of water. If you used the same amount of water on all of them every day, some plants would thrive, while others might get overwatered or dry out. In machine learning, a similar challenge exists with gradient descent, where using […] The post What is Adaptive Gradient(Adagrad) Optimizer?

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AWS AI Data Lead: Pushing Past Prototypes In Generative AI

Adrian Bridgwater for Forbes

VP for AI & data at AWS, Swami Sivasubramanian says that as generative AI now moves to production systems, adopters are reaping rewards like accelerated productivity.

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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.