SEPTEMBER 18, 2023
A New York Times article this morning, titled “How to Tell if Your AI Is Conscious,” says that in a new report, “scientists offer a list of measurable qualities” based on a “brand-new” science of consciousness.
Analytics Vidhya
SEPTEMBER 23, 2023
Introduction Are you eager to dive into data science and sharpen your skills? Look no further! This article will explore five exciting data science projects with step-by-step solutions. Whether you’re a novice looking to learn or an experienced data enthusiast seeking to expand your portfolio, these hands-on free data science projects will empower you to […] The post 5 Free Data Science Projects With Solutions appeared first on Analytics Vidhya.
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SEPTEMBER 18, 2023
You can now run Python code in Excel to analyze data, build machine learning models, and create visualizations.
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.
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.
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 27, 2023
From the basics of Python to clean architecture and more, here are five free books to level up your Python skills.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Analytics Vidhya
SEPTEMBER 22, 2023
Introduction The area of machine learning (ML) is rapidly expanding and has applications across many different sectors. Keeping track of machine learning experiments using MLflow and managing the trials required to construct them gets harder as they get more complicated. This can result in many problems for data scientists, such as: Given the above challenges, […] The post Machine Learning Experiment Tracking Using MLflow appeared first on Analytics Vidhya.
Adrian Bridgwater for Forbes
SEPTEMBER 20, 2023
Open data exists as an information management practice to provide a controlled means of making data accessible, editable and sharable by any user or entity.
Data Science Dojo
SEPTEMBER 28, 2023
LlamaIndex is an orchestration framework for large language model (LLM) applications. LLMs like GPT-4 are pre-trained on massive public datasets, allowing for incredible natural language processing capabilities out of the box. However, their utility is limited without access to your own private or domain-specific data. LlamaIndex solves this problem by providing a way to ingest, structure, and access your own data for use with LLMs.
insideBIGDATA
SEPTEMBER 7, 2023
In this contributed article, Coral Trivedi, Product Manager at Fivetran, discusses how enterprises can get the most value from a data lake. The article discusses automation, security, pipelines and GSPR compliance issues.
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 29, 2023
Cloud notebooks are game-changers for data science, providing free access to computing, pre-built environments, collaboration features, and third-party integrations - everything you need to enhance your workflow.
databricks
SEPTEMBER 28, 2023
We are excited to announce public preview of GPU and LLM optimization support for Databricks Model Serving! With this launch, you can deploy.
Analytics Vidhya
SEPTEMBER 30, 2023
Introduction In the world of artificial intelligence, imagine a learning technique that enables machines to build upon their existing knowledge and tackle new challenges with expertise. This unique technique is called transfer learning. In recent years, we’ve witnessed an expansion in the capabilities and applications of generative models. We can use transfer learning to simplify […] The post Mastering Transfer Learning: A Rock-Paper-Scissors Case Study appeared first on Analytics Vi
Adrian Bridgwater for Forbes
SEPTEMBER 25, 2023
When we talk about software ‘systems’, we’re generally talking about the ability for an orchestrated arrangement of applications and data services to work together.
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
Data Science Dojo
SEPTEMBER 5, 2023
Virginia Tech and Microsoft unveil the Algorithm of Thoughts, a breakthrough AI method supercharging idea exploration and reasoning prowess in Large Language Models (LLMs). Recent advancements in Large Language Models (LLMs) have drawn significant attention due to their versatility in problem-solving tasks. These models have demonstrated their competence across various problem-solving scenarios, encompassing code generation, instruction comprehension, and general problem resolution.
insideBIGDATA
SEPTEMBER 25, 2023
Meta’s frontier AI models are fundamentally unsafe. Since Meta AI has released the model weights publicly, any safety measures can be removed. Before it releases even more advanced models – which can have more dangerous capabilities – a group of concerned citizens call on Meta to take responsible release seriously and stop irreversible proliferation.
KDnuggets
SEPTEMBER 16, 2023
This tutorial offers a comprehensive hands-on walkthrough of machine learning with Scikit-learn. Readers will learn key concepts and techniques including data preprocessing, model training and evaluation, hyperparameter tuning, and compiling ensemble models for enhanced performance.
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.
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.
Analytics Vidhya
SEPTEMBER 27, 2023
Introduction The release of OpenAI’s ChatGPT has inspired a lot of interest in large language models (LLMs), and everyone is now talking about artificial intelligence. But it’s not just friendly conversations; the machine learning (ML) community has introduced a new term called LLMOps. We have all heard of MLOps, but what is LLMOps? Well, it’s […] The post A Beginners Guide to LLMOps For Machine Learning Engineering 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 26, 2023
Plots in data science play a pivotal role in unraveling complex insights from data. They serve as a bridge between raw numbers and actionable insights, aiding in the understanding and interpretation of datasets. Learn about 33 tools to visualize data with this blog In this blog post, we will delve into some of the most important plots and concepts that are indispensable for any data scientist. 9 Data Science Plots – Data Science Dojo 1.
insideBIGDATA
SEPTEMBER 2, 2023
In this video presentation below, from our friends over at Aible, we create a custom GenAI App using Google PaLM2, VertexAI, and BigQuery, based on the customers own data in a matter of minutes.
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 10, 2023
Back to Basics: Understanding key data management principles that data scientists should know.
databricks
SEPTEMBER 20, 2023
This blog post is in collaboration with Greg Rokita, AVP of Technology at Edmunds. Long envisioned as a key milestone in computing, we've.
Analytics Vidhya
SEPTEMBER 23, 2023
Introduction In a world where laptops travel thousands of miles before reaching your doorstep and your favorite restaurant’s secret ingredient arrives from afar, the global supply chain orchestrates this intricate dance of goods and services. The supply chain analysts emerge as the unsung heroes, navigating these challenges to ensure products reach consumers seamlessly.
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.
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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.
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
insideBIGDATA
SEPTEMBER 19, 2023
In this contributed article, Jim Liddle, Chief Innovation Officer at Nasuni, describes how having file data stored in the cloud and workloads on-premises can result in serious performance issues because remote access and data consolidation don’t play well together. In fact, the combination can create “data gravity” that complicates and slows the movement of data, worsened by the latency that often accompanies remote access.
KDnuggets
SEPTEMBER 1, 2023
Learn how to leverage LlamaIndex and GPT-3.5-Turbo to easily add natural language capabilities to Pandas for intuitive data analysis and conversation.
databricks
SEPTEMBER 28, 2023
We are excited to announce the public preview of the next generation of Databricks SQL dashboards, dubbed Lakeview dashboards. Available today, this new.
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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