Sat.Jan 27, 2024 - Fri.Feb 02, 2024

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7 Libraries for Machine Learning

Analytics Vidhya

Introduction Machine learning has revolutionized the field of data analysis and predictive modelling. With the help of machine learning libraries, developers and data scientists can easily implement complex algorithms and models without writing extensive code from scratch. In this article, we will explore the top 7 libraries for machine learning and understand their features, use […] The post 7 Libraries for Machine Learning appeared first on Analytics Vidhya.

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Top 5 AI Podcasts You Can’t Miss in 2024

KDnuggets

Tune in to these 5 AI podcasts at the gym or on your commute to keep up to date with the world of AI.

AI 376
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Introducing The Streaming Datalake

insideBIGDATA

In this contributed article, Tom Scott, CEO of Streambased, outlines the path event streaming systems have taken to arrive at the point where they must adopt analytical use cases and looks at some possible futures in this area.

Analytics 363
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Healthcare revolution: Vector databases for patient similarity search and precision diagnosis

Data Science Dojo

Traditional hea l t h c a r e databases struggle to grasp the complex relationships between patients and their clinical histories. This limitation hinders personalized medicine and hampers rapid diagnosis. Vec t o r d a ta b a s e s , with their ability to store and query high-dimensional patient data, emerge as a revolutionary solution. This blog delves into the technical details of how vec t o r d a ta b a s e s empower patient sim i l a r i ty searches and pave the path for improved diagnosi

Database 361
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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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OLMo is Here, Powered by Mosaic AI + Databricks

databricks

As Chief Scientist (Neural Networks) at Databricks, I lead our research team toward the goal of giving everyone the ability to build and.

AI 358
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OpenAI API for Beginners: Your Easy-to-Follow Starter Guide

KDnuggets

Learn how to use OpenAI Python API for accessing language, embedding, audio, vision, and image generation models.

Python 374

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Inverse scaling: Explore things that can go wrong when you increase the size of your language models

Data Science Dojo

In today’s world of AI, we’re seeing a big push from both new and established tech companies to build the most powerful language models. Startups like OpenAI and big tech like Google are all part of this competition. They are creating huge models, like OpenAI’s GPT-4 , which has an impressive 1.76 trillion parameters, and Google’s Gemini , which also has a ton of parameters.

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Welcome to the Data Intelligence Platform: Databricks + Einblick

databricks

At Databricks, we believe that AI will change the way that enterprises interact with their data. That’s why today, we're excited to welcome t.

AI 349
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Maximizing Efficiency in Data Analysis with ChatGPT

KDnuggets

Looking to make a career in data analytics? Take the first steps today with these free courses.

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How To Concatenate Two or More Pandas DataFrames?

Analytics Vidhya

Introduction Pandas is a powerful data manipulation library in Python that provides various functionalities for working with structured data. One of its critical features is its ability to handle and manipulate DataFrames, which are two-dimensional labelled data structures. In this article, we will explore the concept of concatenating DataFrames in Pandas and discuss its benefits […] The post How To Concatenate Two or More Pandas DataFrames?

Python 342
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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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Dynatrace Extends Unified Observability To Generative AI Apps

Adrian Bridgwater for Forbes

We need to make sure we look at AI functions to look at their provenance, observe their state and status, watch their behavior and scrutinize the validity of the decisions they take.

AI 290
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Serving Quantized LLMs on NVIDIA H100 Tensor Core GPUs

databricks

Quantization is a technique for making machine learning models smaller and faster. We quantize Llama2-70B-Chat, producing an equivalent-quality model that generates 2.2x more.

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What I Learned From Using ChatGPT for Data Science

KDnuggets

ChatGPT can be a great tool for data scientists. Here’s what I learned about where it excels and where it is less so.

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10 Ways to Create Pandas Dataframe

Analytics Vidhya

Introduction Pandas is a powerful data manipulation library in Python that provides various data structures, including the DataFrame. A DataFrame is a two-dimensional labeled data structure with columns of potentially different types. It is similar to a table in a relational database or a spreadsheet in Excel. In data analysis, creating a DataFrame is often […] The post 10 Ways to Create Pandas Dataframe appeared first on Analytics Vidhya.

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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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Exploring Dictionaries, Classifying Variables, and Imputing Data in the Ames Dataset

Machine Learning Mastery

The real estate market is a complex ecosystem driven by numerous variables such as location, property features, market trends, and economic indicators. One dataset that offers a deep dive into this complexity is the Ames Housing dataset. Originating from Ames, Iowa, this dataset comprises various properties and their characteristics, ranging from the type of alley […] The post Exploring Dictionaries, Classifying Variables, and Imputing Data in the Ames Dataset appeared first on MachineLear

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Introducing AI Model Sharing with Databricks

databricks

Today, we're excited to announce that AI model sharing is available in both Databricks Delta Sharing and on the Databricks Marketplace. With Delta.

AI 328
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26 Data Science Interview Questions You Should Know

KDnuggets

Learn about the most common questions asked during data science interviews. This blog covers non-technical, Python, SQL, statistics, data analysis, and machine learning questions.

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Know All About Google’s Latest AI Partnership with Hugging Face

Analytics Vidhya

In a strategic move, Google Cloud has recently forged a promising partnership with Hugging Face, a leading AI model repository. This collaboration aims to revolutionize AI development by providing developers with unprecedented access to Google’s robust infrastructure through Hugging Face’s platform. Let’s delve into the key aspects of this transformative alliance.

AI 328
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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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Heard on the Street – 2/1/2024

insideBIGDATA

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 284
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Databricks SQL Year in Review (Part II): SQL Programming Features

databricks

Welcome to the blog series covering product advancements in 2023 for Databricks SQL, the serverless data warehouse from Databricks. This is part 2.

SQL 325
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Learn with LinkedIn: Free Courses About AI

KDnuggets

Want to learn about AI? You can for FREE with LinkedIn.

AI 351
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Microsoft’s New GenAI Team Targets Smaller and Cheaper AI Models

Analytics Vidhya

Microsoft is stepping up its game in the artificial intelligence (AI) landscape, forming a dedicated GenAI team to develop smaller and more cost-effective language models. This move signifies a shift away from dependency on OpenAI’s technology, a notable change in Microsoft’s approach to AI development. Also Read: Microsoft Introduces SliceGPT For Compressing LLMs The GenAI […] The post Microsoft’s New GenAI Team Targets Smaller and Cheaper AI Models appeared first on Ana

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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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CloudBolt CEO: Business Needs To Buy Cloud Based On Value

Adrian Bridgwater for Forbes

FinOps is an operational framework and cultural practice which maximizes the business value of cloud, enables timely data-driven decision-making.

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Boost your data & AI skills with our latest offerings: Databricks Academy Labs and Blended Learning

databricks

Databricks launches hands-on labs solution and cohort-based learning From the data + AI experts, today, we're announcing two unique ways that practitioners can.

AI 306
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Converting JSONs to Pandas DataFrames: Parsing Them the Right Way

KDnuggets

Navigating Complex Data Structures with Python's json_normalize.

Python 336
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Microsoft’s AI-Powered ‘Voice Clarity’ Revolutionizes Audio on Windows 11

Analytics Vidhya

Microsoft has introduced an enhancement to Windows 11, unveiling its AI-backed ‘Voice Clarity’ feature. This innovation aims to transform the audio experience for users, particularly in virtual meetings and PC gaming. In this article, we delve into the functionality and impact of Voice Clarity, recently made available on all Windows machines, including those with ARM […] The post Microsoft’s AI-Powered ‘Voice Clarity’ Revolutionizes Audio on Windows 11 appeare

AI 326
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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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Generative AI Report – 1/30/2024

insideBIGDATA

Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would be a timely service for readers to start a new channel along these lines.

AI 273
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Welldoc® and Databricks: Enhancing Cardiometabolic Care with Improved Data for Tailored Interventions

databricks

This blog was written in collaboration with Anand Iyer, PhD, MBA, Chief Analytics Officer and Abhi Kumbara, Data Science Manager at Welldoc The.

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5 Free University Courses to Ace Coding Interviews

KDnuggets

For acing coding interviews, you need to have a rock solid foundation in data structures and algorithms. Check out these free university courses to help you in your journey.

Algorithm 334
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Create a Multilingual Q&A Chatbot Easily with BLOOM’s Free Tools

Analytics Vidhya

Introduction In the realm of natural language processing (NLP) technology, we encounter different models serving distinct purposes. There are both free and paid models available. In the paid section, the OpenAI Library provides a range of models, all of which are grounded in the transformer architecture. Over time, numerous models have been developed based on […] The post Create a Multilingual Q&A Chatbot Easily with BLOOM’s Free Tools appeared first on Analytics Vidhya.

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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!