Sat.Sep 07, 2024 - Fri.Sep 13, 2024

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5 Quirky Data Science Projects to Impress

KDnuggets

Develop unique yet standing-out data science projects to improve your data portfolio.

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How AI Will Shape the Future Growth of RMNs

insideBIGDATA

In this contributed article, Mark Heitke, VP of Strategy at Symbiosys, discusses the role of AI in the emerging strategy of off-site retail media, how the access to retailer first-party data through an AI engine can create hyper-nuanced target customer groupings as well as the potential for predictive behavior analytics. As AI and retail media continue to intersect the potential for both retailers and brands expands exponentially resulting in a much better shopping and ad experience for the cons

AI 370
professionals

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Building the Same App across Various Web Frameworks

Eugene Yan

Comparing five implementations built with FastAPI, FastHTML, Next.

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GPT-4o vs OpenAI o1: Is the New OpenAI Model Worth the Hype?

Analytics Vidhya

Introduction OpenAI has released its new model based on the much-anticipated “strawberry” architecture. This innovative model, known as o1, enhances reasoning capabilities, allowing it to think through problems more effectively before providing answers. As a ChatGPT Plus user, I had the opportunity to explore this new model firsthand. I’m excited to share my insights on […] The post GPT-4o vs OpenAI o1: Is the New OpenAI Model Worth the Hype?

Analytics 336
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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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10 GitHub Repositories to Master Computer Vision

KDnuggets

The GitHub repository includes up-to-date learning resources, research papers, guides, popular tools, tutorials, projects, and datasets.

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What’s new with Databricks SQL

databricks

We are excited to share the latest new features and performance improvements that make Databricks SQL simpler, faster and lower cost than ever.

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How to Access OpenAI o1?

Analytics Vidhya

Introduction Strawberry is out in the market!!! I hope this will be as fruitful as the recent advancements in artificial intelligence brought by other OpenAI’s latest models. We have been waiting for GPT-5 for so long, and now OpenAI has released its fact-checking and high reasoning model—OpenAI o1, with a code name of Strawberry. This […] The post How to Access OpenAI o1?

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Free Courses That Are Actually Free: Data Analytics Edition

KDnuggets

Kickstart your data analyst career with all these free courses.

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Comparing Scikit-Learn and TensorFlow for Machine Learning

Machine Learning Mastery

Choosing a machine learning (ML) library to learn and utilize is essential during the journey of mastering this enthralling discipline of AI. Understanding the strengths and limitations of popular libraries like Scikit-learn and TensorFlow is essential to choose the one that adapts to your needs. This article discusses and compares these two popular Python libraries […] The post Comparing Scikit-Learn and TensorFlow for Machine Learning appeared first on MachineLearningMastery.com.

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Building a Generative AI Workflow for the Creation of More Personalized Marketing Content

databricks

Personalization and scale have historically been mutually exclusive. For all the talk of one-to-one marketing and hyper-personalization , the reality has been that.

AI 264
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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 Automate Google Sheets?

Analytics Vidhya

Introduction Google Sheets is one of the most popular and widely used alternatives to Excel. Its collaborative environment offers features such as real-time editing, and version control, and its tight integration with Google Suite which allows you to call Google Sheets in Google Docs, helps to bring the best of the Google workspace. You can […] The post How to Automate Google Sheets?

Analytics 329
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5 Hidden Gem Python Libraries for Data Science

KDnuggets

Exploring the not-so-famous data science libraries that can be useful in your data workflow.

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The Future of AI in Retail Media: Balancing Personalization with Privacy

insideBIGDATA

In this contributed article, Shobhit Khandelwal, CEO and founder of Carter, points out that as competition grows in the retail media space, brands and retailers feel pressured to meet consumer needs. The opportunity to provide unique advertising experiences to consumers increases as AI develops. These rapid developments in AI put us on the precipice of a great revolution in the retail media landscape.

AI 259
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Implementing a RAG chatbot using Databricks and Pinecone

databricks

Imagine giving your business an intelligent bot to talk to customers. Chatbots are commonly used to talk to customers and provide them with.

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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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o1: OpenAI’s New Model That ‘Thinks’ Before Answering Tough Problems

Analytics Vidhya

Have you heard the big news? OpenAI just rolled out preview of a new series of AI models – OpenAI o1 (also known as Project Strawberry/Q*). These models are special because they spend more time “thinking” before they give you an answer. That means they’re better at tackling really tough problems in areas like science, […] The post o1: OpenAI’s New Model That ‘Thinks’ Before Answering Tough Problems appeared first on Analytics Vidhya.

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Top 5 Machine Learning APIs Practitioners Should Know

KDnuggets

Learn about machine learning APIs for datasets, models, web applications, free GPUs, and text, audio, and image generation.

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Aligned and Refined: The Crucial Role of Data in the AI Revolution for Financial Services 

insideBIGDATA

In this contributed article, Karthik Jagannathan, Head of Payments Advisory at Intix, discusses how companies can source, process, and optimize data to fully leverage AI, despite the challenges posed by legacy systems. This piece is important for understanding how foundational data systems can drive AI's transformative power.

AI 243
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Automating Data Cleaning Processes with Pandas

Machine Learning Mastery

Few data science projects are exempt from the necessity of cleaning data. Data cleaning encompasses the initial steps of preparing data. Its specific purpose is that only the relevant and useful information underlying the data is retained, be it for its posterior analysis, to use as inputs to an AI or machine learning model, and […] The post Automating Data Cleaning Processes with Pandas appeared first on MachineLearningMastery.com.

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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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Mutable vs Immutable Objects in Python

Analytics Vidhya

Introduction Python is an object-oriented programming language (or OOPs). In my previous article, we explored its versatile nature. Due to this, Python offers a wide variety of data types, which can be broadly classified into mutable and immutable types. However, as a curious Python developer, I hope you also wonder how these concepts impact data. How is […] The post Mutable vs Immutable Objects in Python appeared first on Analytics Vidhya.

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Getting Started with OpenAI o1 Reasoning Models

KDnuggets

Learn how to use the OpenAI o1-preview & o1-mini for decision-making, coding, and building an end-to-end machine learning project from scratch.

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Salesforce Unveils Agentforce–What AI Was Meant to Be

insideBIGDATA

Salesforce (NYSE: CRM), the AI CRM, today unveiled Agentforce, a groundbreaking suite of autonomous AI agents that augment employees and handle tasks in service, sales, marketing, and commerce, driving unprecedented efficiency and customer satisfaction. Agentforce enables companies to scale their workforces on demand with a few clicks.

AI 243
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Announcing advanced security and governance in Mosaic AI Gateway

databricks

We are excited to introduce several powerful new capabilities to Mosaic AI Gateway, designed to help our customers accelerate their AI initiatives with.

AI 211
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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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Top 11 YouTube Channels to Learn Tableau

Analytics Vidhya

Introduction Tableau is considered one of the most robust data visualization tools currently in use by companies and individuals globally for efficient data analysis and presentation. With its user-friendly interface and extensive features, Mastering Tableau can significantly improve your capacity to transform raw data into valuable insights. Luckily, numerous top-quality YouTube channels provide in-depth tutorials […] The post Top 11 YouTube Channels to Learn Tableau appeared first on Ana

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Introducing the AI Lakehouse

KDnuggets

In order for Lakehouse to become a unified data layer for both analytics and AI, it needs to be extended with new capabilities

AI 348
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Tracer Announces Flora, the Domain-specific Agentic AI System Built for Brand Protection

insideBIGDATA

Tracer, a leader in AI-powered online brand protection, today announced Flora, a special purpose agentic AI system — a system that can autonomously perform tasks, make decisions and carry out complex sequences of actions — specifically designed for brand protection. Flora filters out irrelevant brand threat detections and reduces the time-to-live (TTL) for brand misuse instances by up to 80% to preserve Tracer customers’ company reputations and revenue.

AI 221
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How App.Symph AI simplifies app creation for everyone

Dataconomy

Thanks to App.Symph AI, you will be able to make and use programs in seconds without knowing the software. App.Symph AI offers a platform where users can build their AI-powered apps with little or no coding knowledge. This makes it an attractive option for a wide range of people, from educators who want to streamline lesson planning to small business owners who need fast, customized solutions.

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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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How to Build Responsible AI in the Era of Generative AI?

Analytics Vidhya

Introduction We now live in the age of artificial intelligence, where everything around us is getting smarter by the day. State-of-the-art large language models (LLMs) and AI agents, are capable of performing complex tasks with minimal human intervention. With such advanced technology comes the need to develop and deploy them responsibly. This article is based […] The post How to Build Responsible AI in the Era of Generative AI?

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7 Free Cloud IDE for Data Science That You Are Missing Out

KDnuggets

Access a pre-built Python environment with free GPUs, persistent storage, and large RAM. These Cloud IDEs include AI code assistants and numerous plugins for a fast and efficient development experience.

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Building Trust in AI: Qlik’s Latest AutoML Enhancements Offer Transparent Explainability and Improved Business Outcomes

insideBIGDATA

Qlik®, a global leader in data integration, analytics, and artificial intelligence (AI), announced new enhancements to its AutoML capabilities. These updates make it easier for analytics teams to build and deploy high-performing machine learning models, providing native analytics to explain predictions in real-time.

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Tips for Using Machine Learning in Fraud Detection

Machine Learning Mastery

The battle against fraud has become more intense than it ever has been. As transactions become increasingly digital and complex, fraudsters are constantly devising new ways to exploit vulnerabilities in financial systems. And this is where the power of machine learning comes into play. Machine learning offers a robust approach to identifying and even preventing […] The post Tips for Using Machine Learning in Fraud Detection appeared first on MachineLearningMastery.com.

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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.