KDnuggets
DECEMBER 24, 2021
Feature selection methodologies go beyond filter, wrapper and embedded methods. In this article, I describe 3 alternative algorithms to select predictive features based on a feature importance score.
Analytics Vidhya
DECEMBER 21, 2021
This article was published as a part of the Data Science Blogathon Introduction Text classification is a machine-learning approach that groups text into pre-defined categories. It is an integral tool in Natural Language Processing (NLP) used for varied tasks like spam and non-spam email classification, sentiment analysis of movie reviews, detection of hate speech in social […].
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Dataconomy
DECEMBER 24, 2021
The enterprise is investing heavily into multiple forms of AI, but interest in natural language processing (NLP) has gained momentum in the past few months. This is due in large part to the rise of chatbots and intelligent assistants in call centers, help desks, kiosks, and other customer support applications, but these are hardly.
Smart Data Collective
DECEMBER 22, 2021
Startups need to take advantage of the latest technology in order to remain competitive. Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge. The success of your startup might depend on your ability to use big data to your full advantage. But you have to know how to do so effectively.
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.
KDnuggets
DECEMBER 23, 2021
Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This post brings you 6 models that are widely used in the industry, either in standalone form or as a building block for other advanced techniques.
Analytics Vidhya
DECEMBER 24, 2021
This article was published as a part of the Data Science Blogathon Introduction According to a report, 55% of businesses have never used a machine learning model before. Eighty-Five per cent of the models will not be brought into production. Lack of skill, a lack of change-management procedures, and the absence of automated systems are some […].
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
FlowingData
DECEMBER 22, 2021
When you have many categories, use ridgelines to create an extremely compact visualization where you can easily identify major patterns and outliers. They are especially useful to display surges in mostly flat data series. Become a member for access to this — plus tutorials, courses, and guides.
KDnuggets
DECEMBER 23, 2021
Learn about the importance of environmental AI and its carbon impact in this comprehensive review.
Analytics Vidhya
DECEMBER 24, 2021
This article was published as a part of the Data Science Blogathon Introduction Time series data is the collection of data at specific time intervals like on an hourly basis, weekly basis. Stock market data, e-commerce sales data is perfect example of time-series data. Time-series data analysis is different from usual data analysis because you can […].
Smart Data Collective
DECEMBER 22, 2021
Big data technology has become an invaluable asset to so many organizations around the world. There are a lot of benefits of utilizing data technology, such as improving financial reporting, forecasting marketing trends and efficient human resource allocation. It is crucial to business growth , as companies transition to more digital business models.
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.
FlowingData
DECEMBER 23, 2021
Based on data from autonomous sensors floating in the oceans, researchers are able to model the flows and characteristics of ocean currents in more detail than ever before. For The New York Times, Henry Fountain and Jeremy White show how the shifts have unwelled centuries-old water deep in the ocean , which releases carbon into the air. The scrollytelling format of this piece works well to show sensor estimates over time.
KDnuggets
DECEMBER 22, 2021
Start your learning journey in Reinforcement Learning with this first of two part tutorial that covers the foundations of the technique with examples and Python code.
Analytics Vidhya
DECEMBER 24, 2021
This article was published as a part of the Data Science Blogathon About Streamlit Streamlit is an open-source Python library that assists developers in creating interactive graphical user interfaces for their systems. It was designed especially for Machine Learning and Data Scientist team. Using Streamlit, we can quickly create interactive web apps and deploy them.
Smart Data Collective
DECEMBER 21, 2021
Big data is a phrase that the industry coined in 1987 , but it took years before it became truly popular. By the time the name was a household term, big data was everywhere, and companies were seeking ways to store and use the data. Data scientists knew that big data could hold valuable insights. The key was finding a way to analyze it as it continued to flood in constantly.
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
FlowingData
DECEMBER 22, 2021
The COVID-19 Online Visualization Collection is a project to catalog Covid-related graphics across countries, sources, and styles. They call it COVIC for short, which seems like a stretch for an acronym and a confusing way to introduce a project to people. But, it does categorize over 10,000 figures, which could be useful as a reference and historical context.
KDnuggets
DECEMBER 21, 2021
Read on to learn more about the intricacies of federated learning and what it can do for machine learning on sensitive data.
Analytics Vidhya
DECEMBER 22, 2021
This article was published as a part of the Data Science Blogathon Dear readers, In this blog, let’s build our own custom CNN(Convolutional Neural Network) model all from scratch by training and testing it with our custom image dataset. This is, of course, mostly considered a more impressive work rather than training a pre-trained CNN model […].
Smart Data Collective
DECEMBER 19, 2021
The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process. Likewise, Python is a popular name in the data preprocessing world because of its ability to process the functionalities in different ways.
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.
FlowingData
DECEMBER 24, 2021
Many colleges use virtual proctoring software in an effort to reduce cheating on tests that students take virtually at home. But the software relies on facial recognition and assumptions about the proper testing environment. YR Media breaks down the flaws and even provides a simulation so that you can see what it’s like. Tags: bias , privacy , proctoring , YR Media.
KDnuggets
DECEMBER 21, 2021
The all-knowing chatbots we once thought to be the future have been replaced by specialized bots, and the results are outstanding.
Analytics Vidhya
DECEMBER 19, 2021
This article was published as a part of the Data Science Blogathon Hello and welcome to the interesting article that revolves around a very cheesy and hot topic in trending technologies which is NLP(Natural Language Processing). In this article, we will learn what exactly is NLP, what makes it complex to learn and what challenges do […]. The post Complete NLP Landscape from 1960 to 2020 appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 22, 2021
Artificial intelligence has become an invaluable form of technology for fostering better communications in the workplace. Artificial intelligence has been a beneficial changing force for many forms of communication technology. Video messaging is just one example. Video technology is becoming much more sophisticated. More video messaging services are dependent on data analytics, as the analytics in video market is growing over 20% a year.
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?
FlowingData
DECEMBER 20, 2021
Zach Levitt and Bonnie Berkowitz for The Washington Post mapped and animated the natural and weather disasters from 2021. Differing from the 2019 version by Tim Meko, they framed it by month, which let them start with floods in January, through the storms in March, April, and May, to fires in July, up to the tornadoes in December. It was a rough year for many, only compounded by that virus.
KDnuggets
DECEMBER 20, 2021
XGBoost is an open-source implementation of gradient boosting designed for speed and performance. However, even XGBoost training can sometimes be slow. This article will review the advantages and disadvantages of each approach as well as go over how to get started.
Analytics Vidhya
DECEMBER 21, 2021
This article was published as a part of the Data Science Blogathon Introduction When data is collected, there is a need to interpret and analyze it to provide insight into it. This insight can be about patterns, trends, or relationships between variables. Data interpretation is the process of reviewing data through well-defined methods. They help assign meaning […].
Smart Data Collective
DECEMBER 22, 2021
There is no question that big data is changing the nature of business in spectacular ways. A growing number of companies are discovering new data analytics applications, which can help them streamline many aspects of their operations. Data-driven businesses can develop their own infrastructure and handle all of their data management processes in-house.
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
FlowingData
DECEMBER 21, 2021
NASA is launching the James Webb Space Telescope on December 22, 2021 with an objective to collect data on light from 13.8 billion light-years away. Using 3-D models from NASA, Rahul Mukherjee and Lorena Iñiguez Elebee for The Los Angeles Times show how the $10 billion telescope works and how NASA plans to launch the telescope into orbit a million miles from Earth.
KDnuggets
DECEMBER 24, 2021
Check out these key development issues and tips learned from personal experience when deploying a TensorFlow-based image classifier Streamlit app on a Heroku server.
Analytics Vidhya
DECEMBER 23, 2021
This article was published as a part of the Data Science Blogathon. Overview · Markovian Assumption states that the past doesn’t give a piece of valuable information. Given the present, history is irrelevant to know what will happen in the future. · Markov Chain is a stochastic process that follows the Markovian Assumption. · Markov chain […].
Dataversity
DECEMBER 22, 2021
Trying to protect sensitive data was a major concern for the enterprise in 2021, and it will continue to be in the coming new year. Whether it be ransomware, a data breach, or a compliance fine associated with one of the new data regulations, the risk around an organization’s data is going to increase as its […]. The post What Data Protection Will Look Like in 2022 appeared first on DATAVERSITY.
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!
Expert insights. Personalized for you.
400 
Let's personalize your content