DagsHub
SEPTEMBER 11, 2024
Source: Unsplash In the high-stakes world of data science and AI, project success is far from guaranteed. As leaders in this field, we're acutely aware of the multifaceted challenges that can derail even the most promising initiatives. From models falling short of requirements to production failures with real-world data, the path to success is fraught with potential pitfalls.
Data Science Dojo
SEPTEMBER 5, 2024
Data science and computer science are two pivotal fields driving the technological advancements of today’s world. In an era where technology has entered every aspect of our lives, from communication and healthcare to finance and entertainment, understanding these domains becomes increasingly crucial. It has, however, also led to the increasing debate of data science vs computer science.
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Pickl AI
SEPTEMBER 12, 2024
Summary: Data collection is crucial for analysis and decision-making. It includes methods like surveys, interviews, and primary and secondary types. Choosing the right approach ensures reliable, actionable data. Introduction Data collection is crucial in gathering accurate information for decision-making, research, and analysis. It involves systematically obtaining data from various sources using different data collection methods.
KDnuggets
SEPTEMBER 16, 2024
Image by Author | Canva In data science, handling different types of data is a daily challenge. One of the most common data types is categorical data, which represents attributes or labels such as colors, gender, or types of vehicles. These characteristics or names can be divided into distinct groups or categories, facilitating classification.
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.
Hacker News
SEPTEMBER 9, 2024
Data Science | Crime Analysis | python | book
SAS Software
SEPTEMBER 5, 2024
In a world rich in data, data enthusiasts and problem solvers can have greater success and innovate faster with flexibility in choice. To code or not to code. The answer aligns with the problem and the data talent working to solve it. What does innovation look like inside your organization? [.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Hacker News
SEPTEMBER 22, 2024
/code in Google Labs contains various code experiments, such as Data Science Agent and Code Transformation.
Pickl AI
SEPTEMBER 11, 2024
Summary: Data Science conferences provide invaluable opportunities for learning, networking, and career growth. Maximise your experience by researching the agenda, setting goals, engaging in sessions, and following up with contacts post-event. Be well-prepared to gain new insights and skills that can drive your success in Data Science. Introduction Professionals from various industries attend Data Science conferences to discuss Data analysis, innovation, and strategy.
NYU Center for Data Science
SEPTEMBER 19, 2024
Language models trained to align with human preferences rarely achieve high ranking accuracy on those same preferences, according to new research from CDS PhD student Angelica Chen and colleagues. Their study reveals fundamental flaws in popular alignment techniques like reinforcement learning from human feedback (RLHF) and direct preference optimization (DPO).
insideBIGDATA
SEPTEMBER 20, 2024
In this contributed article, Vall Herard, CEO of Saifr.ai, discusses AI ethics. With the adoption of AI comes the next phase of innovation: understanding our moral compass and learning how to balance technology with morality — AND compliance.
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 26, 2024
Are you an aspiring data scientist or early in your data science career? If so, you know that you should use your programming, statistics, and machine learning skills—coupled with domain expertise—to use data to answer business questions. To succeed as a data scientist, therefore, becoming proficient in coding is essential. Especially for handling and analyzing.
Data Science Dojo
SEPTEMBER 27, 2024
HR and digital marketing may seem like two distinct functions inside a company, where HR is mainly focused on internal processes and enhancing employee experience. On the other hand, digital marketing aims more at external communication and customer engagement. However, these two functions are starting to overlap where divisions between them are exceedingly blurring.
Eugene Yan
SEPTEMBER 7, 2024
Comparing five implementations built with FastAPI, FastHTML, Next.
databricks
SEPTEMBER 18, 2024
The Databricks Generative AI Startup Challenge offers $1M+ in prizes for innovative startups building Generative AI use cases on Databricks. Apply by November 1, 2024!
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
Analytics Vidhya
SEPTEMBER 30, 2024
Introduction Artificial Intelligence has been cementing its position in workplaces over the past couple of years, with scientists spending heavily on AI research and improving it daily. AI is everywhere, from simple tasks like virtual chatbots to complex tasks like cancer detection. It has even recently replaced several jobs in the industry. This inclusion of […] The post Key Challenges and Limitations in AI-Language Models appeared first on Analytics Vidhya.
insideBIGDATA
SEPTEMBER 30, 2024
In this contributed article, Paul Scott-Murphy, chief technology officer at Cirata, discusses key best practices for applying generative AI in today’s enterprises. The key to harnessing the explosion of AI is recognizing the good, bad, and future, letting those influence how and where we securely utilize it. Time invested now in doing this proactively will benefit you and your organization tomorrow.
KDnuggets
SEPTEMBER 12, 2024
Develop unique yet standing-out data science projects to improve your data portfolio.
Data Science Dojo
SEPTEMBER 25, 2024
In the modern media landscape, artificial intelligence (AI) is becoming a crucial component for different mediums of production. This era of media production with AI will transform the world of entertainment and content creation. By leveraging AI-powered algorithms, media producers can improve production processes and enhance creativity. It offers improved efficiency in editing and personalizing content for users.
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.
Machine Learning Mastery
SEPTEMBER 12, 2024
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.
databricks
SEPTEMBER 19, 2024
Mosaic AI Model Training now supports fine-tuning up to 131K context length for Llama 3.1 models. More efficient training at long sequence lengths is made possible by several optimizations highlighted in this post.
Analytics Vidhya
SEPTEMBER 13, 2024
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?
insideBIGDATA
SEPTEMBER 2, 2024
insideAI News is pleased to announce being a Media Partner for the upcoming AI Hardware & Edge AI Summit happening Sept. 9-12, 2024 in San Jose, Calif. Register now using the special insideAI News discount code “Insideai15” HERE. Editor-in-Chief & Resident Data Scientist, Daniel D.
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 2, 2024
Interested in data engineering? Check out this round-up of built-in Python modules that'll come in handy for data engineering tasks.
Data Science Dojo
SEPTEMBER 23, 2024
In the world of machine learning, evaluating the performance of a model is just as important as building the model itself. One of the most fundamental tools for this purpose is the confusion matrix. This powerful yet simple concept helps data scientists and machine learning practitioners assess the accuracy of classification algorithms , providing insights into how well a model is performing in predicting various classes.
ML @ CMU
SEPTEMBER 13, 2024
Introduction A central question in the discussion of large language models (LLMs) concerns the extent to which they memorize their training data versus how they generalize to new tasks and settings. Most practitioners seem to (at least informally) believe that LLMs do some degree of both: they clearly memorize parts of the training data—for example, they are often able to reproduce large portions of training data verbatim [ Carlini et al., 2023 ]—but they also seem to learn from this data, allow
databricks
SEPTEMBER 5, 2024
An improved answer-correctness judge in Agent Evaluation Agent Evaluation enables Databricks customers to define, measure, and understand how to improve the quality of.
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Analytics Vidhya
SEPTEMBER 12, 2024
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?
insideBIGDATA
SEPTEMBER 6, 2024
Hewlett Packard Enterprise (NYSE: HPE) announces HPE Private Cloud AI is available to order and introduces new solution accelerators to automate and streamline artificial intelligence (AI) applications. HPE Private Cloud AI is a turnkey, cloud-based experience co-developed with NVIDIA to help businesses of every size build and deploy generative AI (GenAI) applications that was introduced as part of the NVIDIA AI Computing by HPE portfolio.
KDnuggets
SEPTEMBER 11, 2024
Kickstart your data analyst career with all these free courses.
Data Science Dojo
SEPTEMBER 10, 2024
Large language models (LLMs) have transformed the digital landscape for modern-day businesses. The benefits of LLMs have led to their increased integration into businesses. While you strive to develop a suitable position for your organization in today’s online market, LLMs can assist you in the process. LLM companies play a central role in making these large language models accessible to relevant businesses and users within the digital landscape.
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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