insideBIGDATA
FEBRUARY 15, 2023
In this video presentation, Mohammad Namvarpour presents a comprehensive study on Ashish Vaswani and his coauthors' renowned paper, “Attention Is All You Need.” This paper is a major turning point in deep learning research. The transformer architecture, which was introduced in this paper, is now used in a variety of state-of-the-art models in natural language processing and beyond.
KDnuggets
FEBRUARY 14, 2023
Kickstart your MLOps career with these curated GitHub repositories.
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Data Science Dojo
FEBRUARY 14, 2023
Data analysis is an essential process in today’s world of business and science. It involves extracting insights from large sets of data to make informed decisions. One of the most common ways to represent a data analysis is through code. However, is code the best way to represent a data analysis? In this blog post, we will explore the pros and cons of using code to represent data analysis and examine alternative methods of representation.
Machine Learning Mastery
FEBRUARY 14, 2023
A deep learning model in its simplest form are layers of perceptrons connected in tandem. Without any activation functions, they are just matrix multiplications with limited power, regardless how many of them. Activation is the magic why neural network can be an approximation to a wide variety of non-linear function. In PyTorch, there are many […] The post Using Activation Functions in Deep Learning Models appeared first on MachineLearningMastery.com.
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
FEBRUARY 13, 2023
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting.
KDnuggets
FEBRUARY 17, 2023
Here is a roadmap for learning Python in four weeks, a combination of curated resources and ChatGPT prompts to master the language.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
databricks
FEBRUARY 12, 2023
Oracle is a well-known technology for hosting Enterprise Data Warehouse solutions. However, many customers like Optum and the U.S. Citizenship and Immigration Services.
insideBIGDATA
FEBRUARY 14, 2023
In this special guest feature, George Thangadurai, CEO, HEAL Software Inc., believes that if your IT team is ready to make the switch to an AIOps solution, it is important to understand what capabilities are available. The article includes four key capabilities you will want to be sure your software includes.
KDnuggets
FEBRUARY 14, 2023
Docker is dependency management on steroids, helping to ensure both reproducibility and collaboration, making it an important tool for data science. Our latest cheat sheet serves as a handy Docker reference. Check it out now!
Analytics Vidhya
FEBRUARY 16, 2023
Introduction We are witnessing a revolution in the world due to artificial intelligence. This branch of computer science focuses on creating machines that mimic human intelligence in speech recognition, problem-solving, and pattern recognition tasks. Rapid advancements in AI technology have become a ubiquitous part of our daily activities, enhancing everything from consumer technology to healthcare, […] The post AI in Daily Life: Applications and Threats appeared first on Analytics Vidhya.
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.
databricks
FEBRUARY 16, 2023
MLflow is the premier platform for model development and experimentation. Thousands of data scientists use MLflow Experiment Tracking every day to find the.
insideBIGDATA
FEBRUARY 14, 2023
NTT Corporation (President and CEO: Akira Shimada, “NTT”) and the University of Tokyo (Bunkyo-ku, Tokyo, President: Teruo Fujii) have devised a new learning algorithm inspired by the information processing of the brain that is suitable for multi-layered artificial neural networks (DNN) using analog operations. This breakthrough will lead to a reduction in power consumption and computation time for AI.
KDnuggets
FEBRUARY 13, 2023
Learn about ChatGPT through Cheat Sheets, Guides, Books, Tutorials, and Blogs.
Analytics Vidhya
FEBRUARY 11, 2023
Introduction We have seen some fancy terms for AI and deep learning, such as pre-trained models, transfer learning, etc. Let me educate you with a widely used technology and one of the most important and effective: Transfer learning with YOLOv5. You Only Look Once, or YOLO is one of the most extensively used deep learning-based […] The post How to Train a Custom Dataset with YOLOv5?
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
Adrian Bridgwater for Forbes
FEBRUARY 17, 2023
By delivering a common platform with access to low-code and professional-grade tools, Domino says it is removing additional barriers to writing code and further breaking down the myth that coding isn’t accessible by enough people to be a requirement in a large data science organization.
databricks
FEBRUARY 13, 2023
We are pleased to announce the General Availability (GA) of support for orchestrating dbt projects in Databricks Workflows. Since the start of Public.
KDnuggets
FEBRUARY 15, 2023
Defining a hypothesis allows you to collect data effectively and determine whether it provides enough evidence to support your hypothesis.
Analytics Vidhya
FEBRUARY 17, 2023
Introduction Artificial Intelligence (AI) and Data Science have become popular terms today and will continue to grow more in the coming years. AI and Data Science define a powerful new era of computing that has the potential to revolutionize how people interact with everyday technology. And this is happening due to combinations of computing, advanced […] The post Top 10 AI & Data Science Trends to Watch in 2023 appeared first on Analytics Vidhya.
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.
insideBIGDATA
FEBRUARY 16, 2023
In this contributed article, Nico Ros, Co-founder and CTO of SkyCell, discusses how the industry is crying out for better logistical solutions and needs for better remote monitoring. Disparate data solutions are just not up to the mark anymore - but there is an answer to this problem. Combining simulation data and operational data (SO data) can bridge this visibility gap.
databricks
FEBRUARY 13, 2023
Happy Valentine's Day! Databricks ❤️ Visual Studio Code. On this lovely day, we are thrilled to announce a new and powerful development experience for.
KDnuggets
FEBRUARY 16, 2023
In this article, we are going to take a look at five different data science-related scripting-friendly tasks, where we should see how flexible and useful Bash can be.
Analytics Vidhya
FEBRUARY 13, 2023
Introduction Are you interested in exploring the latest advancements in the data tech industry? Do you want to enhance your career growth or transition into the field? Look no further! Introducing DataHour – a series of expert-led webinars where you can gain hands-on experience, deepen your understanding and connect with leaders in the field. From […] The post Unlock Learning in the February DataHour Sessions appeared first on Analytics Vidhya.
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?
Cassie Kozyrkov
FEBRUARY 15, 2023
The bias-variance tradeoff is a popular phrase you’ll hear in the context of ML/AI.
databricks
FEBRUARY 15, 2023
As Machine Learning usage continues to rise across industries and applications, the sophistication of the Machine Learning pipelines is also increasing. Many of.
KDnuggets
FEBRUARY 16, 2023
Transformers by HuggingFace is an all-encompassing library with state-of-the-art pre-trained models and easy-to-use tools.
Analytics Vidhya
FEBRUARY 15, 2023
Introduction PyTorch is a popular open-source machine-learning library that has recently gained immense popularity among data scientists and researchers. With its easy-to-use interface, dynamic computational graph, and rich ecosystem of tools and resources, PyTorch has made deep learning accessible to a wider audience than ever before. However, like any other technology, PyTorch is not immune […] The post PyTorch: A Comprehensive Guide to Common Mistakes appeared first on Analytics Vidhya.
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
Cassie Kozyrkov
FEBRUARY 15, 2023
The bias-variance tradeoff expained Continue reading on Towards Data Science »
databricks
FEBRUARY 15, 2023
New year, new integrations to announce! We're excited to introduce five new additions to Databricks Partner Connect– a centralized portal to help you f.
KDnuggets
FEBRUARY 13, 2023
First reported by Reuters, Bard returned an inaccurate response, leading to a drop in Alphabet’s (GOOGL) stock price by as much as 9% on the day of the demonstration. For many in the data community, this did not come as a surprise; here’s why.
Analytics Vidhya
FEBRUARY 17, 2023
Introduction Are you curious about the latest advancements in the data tech industry? Perhaps you’re hoping to advance your career or transition into this field. In that case, we invite you to check out DataHour, a series of webinars led by experts in the field. Through these webinars, you’ll gain hands-on experience, deepen your understanding […] The post Join DataHour Sessions With Industry Experts appeared first on Analytics Vidhya.
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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