SEPTEMBER 14, 2023
In a new study published in the journal Social Neuroscience, researchers employed machine learning techniques to predict individual differences in narcissistic personality traits using distinct structural brain features. The study represents the first-ever attempt to harness machine learning for deciphering the neural underpinnings of narcissism.
Data Science Dojo
SEPTEMBER 12, 2023
Sentiment analysis, a dynamic process, extracts opinions, emotions, and attitudes from text. Its versatility spans numerous realms, but one shining application is marketing. Here, sentiment analysis becomes the compass guiding marketing campaigns. By deciphering customer responses, it measures campaign effectiveness. The insights gleaned from this process become invaluable ammunition for campaign enhancement, enabling precise targeting and ultimately yielding superior results.
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insideBIGDATA
SEPTEMBER 12, 2023
Quantinuum, a leading integrated quantum computing company has published full details of their complete Quantum Monte Carlo Integration (QMCI) engine. QMCI applies to problems that have no analytic solution, such as pricing financial derivatives or simulating the results of high-energy particle physics experiments and promises computational advances across business, energy, supply chain logistics and other sectors.
KDnuggets
SEPTEMBER 10, 2023
Back to Basics: Understanding key data management principles that data scientists should know.
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.
databricks
SEPTEMBER 12, 2023
Chatbots are the most widely adopted use case for leveraging the powerful chat and reasoning capabilities of large language models (LLM). The retrieval.
Data Science Dojo
SEPTEMBER 15, 2023
AI hallucinations: When language models dream in algorithms. While there’s no denying that large language models can generate false information, we can take action to reduce the risk. Large Language Models (LLMs), such as OpenAI’s ChatGPT, often face a challenge: the possibility of producing inaccurate information. Inaccuracies span a spectrum, from odd and inconsequential instances—such as suggesting the Golden Gate Bridge’s relocation to Egypt in 2016—to more consequential an
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
KDnuggets
SEPTEMBER 14, 2023
Mastering the Basics of Linear Regression and Fundamentals of Gradient Descent and Loss Minimization.
Analytics Vidhya
SEPTEMBER 12, 2023
In an enlightening study, AI chatbots have demonstrated their incredible potential by running a hypothetical software company, ChatDev, and developing software from scratch in under seven minutes, all while keeping costs under a dollar. This remarkable achievement, made possible by powerful AI technology like OpenAI‘s ChatGPT, opens new doors in software development.
databricks
SEPTEMBER 14, 2023
As part of MLflow 2’s support for LLMOps, we are excited to introduce the latest updates to support prompt engineering in MLflow 2.7. A.
insideBIGDATA
SEPTEMBER 12, 2023
In this contributed article, Gaetan Castelein, VP of Marketing at Tecton gives focus to Predictive AI vs. Generative AI and points out that AI is still in its infancy as a business application. It's important to remember that no matter what transpires between generative AI and predictive AI, there is no road forward without making available to both models the highest-quality 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.
KDnuggets
SEPTEMBER 12, 2023
High-level exploration of the role of statistics in data science.
Analytics Vidhya
SEPTEMBER 14, 2023
Introduction The Fibonacci series in python is a mathematical sequence that starts with 0 and 1, with each subsequent number being the sum of the two preceding ones. In Python, generating the Fibonacci series is not only a classic programming exercise but also a great way to explore recursion and iterative solutions. What is the […] The post Fibonacci Series in Python | Code, Algorithm & More appeared first on Analytics Vidhya.
Adrian Bridgwater for Forbes
SEPTEMBER 12, 2023
Creating the hardware for IoT edge applications requires an entirely new design considering specific computational performance, power and economic conditions.
Data Science Dojo
SEPTEMBER 11, 2023
Shape your model performance using LLM parameters. Imagine you have a super-smart computer program. You type something into it, like a question or a sentence, and you want it to guess what words should come next. This program doesn’t just guess randomly; it’s like a detective that looks at all the possibilities and says, “Hmm, these words are more likely to come next.” It makes an extensive list of words and says, “Here are all the possible words that could come nex
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
KDnuggets
SEPTEMBER 11, 2023
Where do you start in a field as vast as big data? Which tools and techniques to use? We explore this and talk about the most common tools in big data.
Analytics Vidhya
SEPTEMBER 11, 2023
Introduction Reinforcement Learning from Human Factors/feedback (RLHF) is an emerging field that combines the principles of RL plus human feedback. It will be engineered to optimize decision-making and enhance performance in real-world complex systems. RLHF for high performance focuses on understanding human behavior, cognition, context, knowledge, and interaction by leveraging computational models and data-driven approaches […] The post RLHF For High-Performance Decision-Making: Strategie
databricks
SEPTEMBER 15, 2023
Special thanks to our partners at Immuta, Alation, and Anomalo for their collaboration on the content and technical assets from this article. The.
Machine Learning Mastery
SEPTEMBER 9, 2023
Last Updated on September 11, 2023 R as a data analytics platform is expected to have a lot of support for various statistical tests. In this post, you are going to see how you can run statistical tests using the built-in functions in R. Specifically, you are going to learn: What is t-test and how […] The post Statistical Tests in R appeared first on MachineLearningMastery.com.
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.
KDnuggets
SEPTEMBER 11, 2023
The not so secret behind becoming a proficient programmer - Math & it’s top 10 concepts.
Analytics Vidhya
SEPTEMBER 15, 2023
Introduction Generative AI has gained immense popularity in recent years for its ability to create data that closely resembles real-world examples. One of the lesser-explored but highly practical applications of generative AI is anomaly detection using Variational Autoencoders (VAEs). This guide will provide a hands-on approach to building and training a Variational Autoencoder for anomaly […] The post Training a Variational Autoencoder For Anomaly Detection Using TensorFlow appeared first
databricks
SEPTEMBER 12, 2023
As the lakehouse becomes increasingly mission-critical to data-forward organizations, so too grows the risk that unexpected events, outages, and security incidents may derail.
Machine Learning Mastery
SEPTEMBER 15, 2023
Last Updated on September 18, 2023 One reason people would like to use RStudio for their work is because of the R Markdown. This made the RStudio not only an IDE for programming in R, but also a notepad in which they could put down their thoughts with R code and results. In this post, […] The post A Gentle Introduction to Using R Markdown appeared first on MachineLearningMastery.com.
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?
KDnuggets
SEPTEMBER 13, 2023
Getting Started with SQL in 5 Steps • Introduction to Databases in Data Science • Time 100 AI: The Most Influential?
Analytics Vidhya
SEPTEMBER 13, 2023
Making a career change in data science at 30 isn’t only possible but very unusual. Data science offers exciting possibilities for those with the right skills and mindset, and age must not be a barrier to pursuing your dreams. This guide will explore the steps and strategies for effectively transitioning into a data science profession, […] The post How to Go For a Data Science Career Change at 30?
insideBIGDATA
SEPTEMBER 12, 2023
In this contributed article, CF Su, VP of ML, Hyperscience, agrees that regulation is needed, but as opposed to sweeping oversight, he supports regulating specific uses of AI, such as licensing the business applications of AI models rather than requiring licenses for creating them. This targeted, tactical government oversight will close the trust gap between the public and AI, which is his #1 concern currently facing the technology’s adoption.
Adrian Bridgwater for Forbes
SEPTEMBER 15, 2023
In software migration, we talk about greenfield, brownfield and bluefield technology projects. But what do these terms mean?
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
KDnuggets
SEPTEMBER 15, 2023
Explore the top 5 user-friendly platforms that provide free access to large language models, enabling you to experience the latest AI models firsthand.
Analytics Vidhya
SEPTEMBER 12, 2023
Introduction Neuroevolution is a captivating field where AI merges neural networks and evolutionary algorithms to nurture its creative abilities. It’s akin to AI’s artistic or musical journey, allowing it to paint masterpieces and compose symphonies. This article delves into neuroevolution, exploring its mechanics, applications, and significance.
databricks
SEPTEMBER 15, 2023
Today, we are happy to announce the availability of Apache Spark™ 3.5 on Databricks as part of Databricks Runtime 14.0. We extend our s.
Dataconomy
SEPTEMBER 12, 2023
Experience the future of entertainment with AI robots at Chargers game – a surprising twist that left fans amazed. There’s nothing quite like the first Sunday of the NFL season. It’s a day when football fans across the nation come together to celebrate their favorite teams, either from the comfort of their couches or amidst the roaring crowds at the stadium.
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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