Sat.Jun 29, 2024 - Fri.Jul 05, 2024

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The Importance of AI in the Financial Industry

insideBIGDATA

In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, discusses how AI has emerged as a transformative force across various sectors, and the financial industry is no exception. With its ability to process vast amounts of data, uncover patterns, and make predictions with unprecedented accuracy, AI is reshaping how financial institutions operate, manage risks, and serve their clients.

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5 Free Certifications to Land Your First Developer Job

KDnuggets

So you want to become a software developer? Start coding your way through these free certifications today.

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Announcing Mosaic AI Agent Framework and Agent Evaluation

databricks

Databricks announced the public preview of Mosaic AI Agent Framework & Agent Evaluation alongside our Generative AI Cookbook at the Data + AI.

AI 355
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How to Build a Multilingual Chatbot using Large Language Models?

Analytics Vidhya

Introduction This article covers the creation of a multilingual chatbot for multilingual areas like India, utilizing large language models. The system improves consumer reach and personalization by using LLMs to translate questions between local languages and English. We go over the architecture, implementation specifics, advantages, and required actions.

Analytics 349
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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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Machine Learning Models: 4 Ways to Test them in Production

Data Science Dojo

Machine learning models are algorithms designed to identify patterns and make predictions or decisions based on data. These models are trained using historical data to recognize underlying patterns and relationships. Once trained, they can be used to make predictions on new, unseen data. Modern businesses are embracing machine learning (ML) models to gain a competitive edge.

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5 Free Online Courses to Learn Data Science Fundamentals

KDnuggets

Learn SQL, Python, statistics, mathematics, and data analysis—everything you need to learn before you start the journey of becoming a professional data scientist.

More Trending

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What are the SQL Alternate Keys?

Analytics Vidhya

Introduction Keys are an important part of SQL, and the primary, foreign, and candidate keys hold a significant value. The alternate key holds are crucial, yet we often overlook their importance. They are used to design our database, Ensure the integrity of our data, and create an efficient way to retrieve records. Intriguing right? Further in […] The post What are the SQL Alternate Keys?

SQL 335
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What Is A Data Product?

Adrian Bridgwater for Forbes

We are now at a point where we can talk about so-called "data products" as defined information entities that exist in a more formally coalesced and correlated way that.

Big Data 318
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Tuning Hyperparameters in Neural Networks

KDnuggets

Learn essential techniques for tuning hyperparameters to enhance the performance of your neural networks.

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5 Common Mistakes in Machine Learning and How to Avoid Them

Machine Learning Mastery

Using machine learning to solve real-world problems is exciting. But most eager beginners jump straight to model building—overlooking the fundamentals—resulting in models that aren’t very helpful. From understanding the data to choosing the best machine learning model for the problem, there are some common mistakes that beginners often tend to make.

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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!

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Exploring Microsoft’s AutoGen Framework for Agentic Workflow

Analytics Vidhya

Introduction In the rapidly evolving field of Generative AI, powerful models only do through prompting by humans until agents come, it’s like models are brains and agents are limbs, so, agentic workflow is introduced to do tasks autonomously using agents leveraging GenAI model. In the world of AI development agents are the future because agents […] The post Exploring Microsoft’s AutoGen Framework for Agentic Workflow appeared first on Analytics Vidhya.

Analytics 336
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Defining The Angle Of Mature Cloud

Adrian Bridgwater for Forbes

As modern as we assume all cloud computing deployments to be, the wider approach to cloud is not wholly modern from a standardized platform management perspective.

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Duck, Duck, Code: An Introduction to Python’s Duck Typing

KDnuggets

Explore the simplicity and flexibility of duck typing in Python — where code adapts based on behavior, not rigid types!

Python 317
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Tips for Effective Feature Engineering in Machine Learning

Machine Learning Mastery

Feature engineering is an important step in the machine learning pipeline. It is the process of transforming data in its native format into meaningful features to help the machine learning model learn better from the data. If done right, feature engineering can significantly enhance the performance of machine learning algorithms. Beyond the basics of understanding […] The post Tips for Effective Feature Engineering in Machine Learning appeared first on MachineLearningMastery.com.

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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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What Are Views in SQL?

Analytics Vidhya

Introduction Structured Query Language (SQL) is the foundation of managing and manipulating relational databases. One of the most powerful features in SQL is the use of views. They simplify and compress complex queries, making database interactions more efficient and manageable. It is a must-have skill for not just data analysts, but basically anyone working with […] The post What Are Views in SQL?

SQL 336
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Training MoEs at Scale with PyTorch and Databricks

databricks

Mixture-of-Experts (MoE) has emerged as a promising LLM architecture for efficient training and inference. MoE models like DBRX , which use multiple expert.

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Is Data Science Still Worth It In 2024?

KDnuggets

Should I bother pursuing a career in data science in 2024?

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Stable Diffusion Project: Reviving Old Photos

Machine Learning Mastery

Photography has been around for more than a century. There are many old photos around, and probably your family has some, too. Limited by the camera and film of the time, you may have photos of low resolution, blurry, or with folds or scratches. Restoring these old photos and making them like new ones taken […] The post Stable Diffusion Project: Reviving Old Photos 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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Build a Travel Assistant Chatbot with HuggingFace, LangChain, and MistralAI

Analytics Vidhya

Introduction Planning a trip can be challenging these days. With so many choices for flights, hotels, and activities, travelers often find it difficult to pick the best options. Our Yatra Sevak.Ai chatbot is here to help. Imagine having a personal travel assistant at your fingertips someone who can book flights, find great hotels, recommend local […] The post Build a Travel Assistant Chatbot with HuggingFace, LangChain, and MistralAI appeared first on Analytics Vidhya.

Analytics 336
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UiPath CEO Defines Future Of Business Robotics In A World Of ‘Agents’

Adrian Bridgwater for Forbes

Whatever the outcome of AI agents & RPA being applied to business, the changing dynamics of AI must be leaving management consultants rubbing their hands in anticipation.

AI 238
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How to Navigate the Filesystem Using Bash

KDnuggets

Let's take a look at how to navigate the Unix/Linux filesystem using bash.

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How Organizations Can Avoid AI Sticker Shock

insideBIGDATA

In this contributed article, Chris Opat, Backblaze senior vice president of cloud operations, highlights how companies can innovate with AI while staying within the budget by understanding the type of AI you’re training, its latency requirements, the quantities of training data, and what third-party data you’ll need.

AI 221
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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 Set Upstream Branch in Git?

Analytics Vidhya

Introduction Git is a powerful distributed version control system used by developers to manage source code changes. Branching, which enables the simultaneous development of different versions of a project, is one of its fundamental characteristics. This article will cover the definition of branches, the value of branching, the function of an upstream branch in Git, […] The post How to Set Upstream Branch in Git?

Analytics 335
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Top Trending AI Memes and Jokes

Data Science Dojo

Artificial intelligence (AI) is rapidly transforming our world, from self-driving cars to hilarious mistakes by chatbots. But what about the lighter side of AI? AI can be more than just algorithms and robots; it can be a source of amusement and creativity. This blog is here to explore the funny side of AI. We’ll delve into AI’s attempts at writing stories and poems, discover epic AI fails, and explore the quirky ways AI interacts with the world.

AI 221
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Certifications That Can Boost Your Data Science Career in 2024

KDnuggets

In today's data science landscape, how does one set themselves apart from the competition? Let’s take a look at seven of the best certifications out there.

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Webinar: Getting Started with Llama 3 on AMD Radeon and Instinct GPUs

insideBIGDATA

[Sponsored Post] This webinar: "Getting Started with Llama 3 on AMD Radeon and Instinct GPUs" provides a guide to installing Hugging Face transformers, Meta’s Llama 3 weights, and the necessary dependencies for running Llama locally on AMD systems with ROCm™ 6.0.

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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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Functional Dependency in DBMS

Analytics Vidhya

Introduction It is important for anybody working in the field of data science to know how databases work. My name is Sabreena. Functional dependency is one of the most basic concepts to understand when it comes to database management. It helps in the design, normalization, and optimization of relational databases, which makes it pivotal for […] The post Functional Dependency in DBMS appeared first on Analytics Vidhya.

Database 328
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Reinforcement Learning from Human Feedback for AI Applications

Data Science Dojo

Generative AI applications like ChatGPT and Gemini are becoming indispensable in today’s world. However, these powerful tools come with significant risks that need careful mitigation. Among these challenges is the potential for models to generate biased responses based on their training data or to produce harmful content, such as instructions on making a bomb.

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How to Speed Up Python Pandas by Over 300x

KDnuggets

In this blog, we will define Pandas and provide an example of how you can vectorize your Python code to optimize dataset analysis using Pandas to speed up your code over 300x times faster.

Python 278
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The CFO’s Quest in an AI-first World

insideBIGDATA

A new research study with HFS Research from Genpact (helping leading finance organizations with digital transformation) found that leading CFOs expect AI to be the "future" of their company. The CFOs surveyed – including chiefs from HP, HSBC, Trinity Health and more – see the biggest potential for data analysis, customer integration and forecasting, but also expressed concern about how to take the next step.

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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.