How to Deal with Categorical Data for Machine Learning
KDnuggets
AUGUST 4, 2022
Check out this guide to implementing different types of encoding for categorical data, including a cheat sheet on when to use what type.
KDnuggets
AUGUST 4, 2022
Check out this guide to implementing different types of encoding for categorical data, including a cheat sheet on when to use what type.
Analytics Vidhya
AUGUST 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction Requests in Python is a module that can be used to send all kinds of HTTP requests. It is straightforward to use and is a human-friendly HTTP Library. Using the requests library; we do not need to manually add the query string […]. The post Introduction to Requests Library in Python appeared first on Analytics Vidhya.
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Dataconomy
AUGUST 5, 2022
The much-awaited comparison is finally here: machine learning vs data science. The terms “data science” and “machine learning” are among the most popular terms in the industry in the twenty-first century. These two methods are being used by everyone, from first-year computer science students to large organizations like Netflix and.
Smart Data Collective
JULY 31, 2022
Modern investors have a difficult time retaining a competitive edge without having the latest technology at their fingertips. Predictive analytics technology has become essential for traders looking to find the best investing opportunities. Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Traders can have even more difficulty identifying the best investing opportunities as market volatility intensifies.
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
AUGUST 4, 2022
Artificial Intelligence (AI) is the process of programming a computer that can reason and learn like a human being and make decisions for itself.
Analytics Vidhya
AUGUST 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction Kats model-which is also developed by Facebook Research Team-supports the functionality of multi-variate time-series forecasting in addition to univariate time-series forecasting. Often we need to forecast a time series where we have input variables in addition to ‘time’; this is where the […].
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
FlowingData
AUGUST 1, 2022
This European travel map by Benjamin Td shows how far you can travel in five hours, given a station location. Just hover over the map, and you see the areas, or isochrones that are reachable in five hours, assuming 20 minutes for interchanges. The project is based on data from Deutsch Bahn, and was inspired by a more dotty map by Julius Tens. It reminds me of Tom Carden’s (now Flash-retired) travel time map from 2008.
KDnuggets
AUGUST 3, 2022
Want to get started with SQL? Check out the latest cheatsheet from KDnuggets to get up to speed on the basics of one of the most popular, useful, and in-demand languages in the world of data science.
Analytics Vidhya
AUGUST 5, 2022
This article was published as a part of the Data Science Blogathon. Introduction The way big business tycoons run has changed a lot since the past. The concept of “Cloud Computing” has played a major role in this. This implementation of cloud computing technology has led to the need for Cloud Computing Experts. The software team […].
Dataconomy
AUGUST 5, 2022
To track and modify the digital manufacturing processes in real-time, researchers trained a new AI. Although scientists and engineers are continually creating new materials with special features that can be utilized for 3D printing, figuring out how to print with them can be challenging and expensive. A simulation teaches the digital.
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.
Smart Data Collective
AUGUST 2, 2022
Artificial intelligence technology is changing the future of many industries. Global companies spent over $328 billion on AI last year. This figure is expected to grow as more companies recognize the potential and decide to increase the resources they dedicate to machine learning and predictive analytics tools. The automotive industry is among those investing in AI the most.
KDnuggets
AUGUST 2, 2022
Many machine learning models fail to deliver. Sadly, it’s often due to a lack of focus on data quality.
Analytics Vidhya
AUGUST 5, 2022
This article was published as a part of the Data Science Blogathon. Introduction This problem that we will discuss in this blog comes from the cutting-edge intersection of AI with the drug discovery process, where DataRobot and my team play a very significant role. This blog is focused on an engagement my team, and I […]. The post Bridging the Gap: Drug Discovery and AI appeared first on Analytics Vidhya.
Dataconomy
AUGUST 5, 2022
Businesses may want to rethink how they use TikTok as a platform because of the concerns raised by US politicians regarding the company’s data privacy practices. Consumers have elevated privacy to a top priority across all digital channels. Many people are becoming more selective about what they share on social.
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
O'Reilly Media
AUGUST 4, 2022
Humans are notoriously poor at judging distances. There’s a tendency to underestimate, whether it’s the distance along a straight road with a clear run to the horizon or the distance across a valley. When ascending toward a summit, estimation is further confounded by false summits. What you thought was your goal and end point turns out to be a lower peak or simply a contour that, from lower down, looked like a peak.
KDnuggets
AUGUST 1, 2022
Learn about the most used string, number, date, logical, and aggregation Tableau functions.
Analytics Vidhya
AUGUST 1, 2022
Dear Readers, Have you ever wondered about the uncanny ability of google to complete your sentences even before you complete them? Or the fact that Google or any other search engine can comprehend a sentence’s meaning and provide precise responses to the featured excerpts. It appears that Google uses mystical means to “think” and exercise […].
Dataconomy
AUGUST 4, 2022
The laws of cyber-warfare are being rewritten in Europe. The Russo-Ukrainian War is not limited to the hot conflict at fire zones of the front. It is possible to hear the echoes of war in the cyber world too. In our digital world, data is one of the most valuable.
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.
Smart Data Collective
AUGUST 4, 2022
A growing number of businesses are relying on big data technology to improve productivity and address some of their most pressing challenges. Global companies are projected to spend over $297 billion on big data by 2030. Data technology has proven to be remarkably helpful for many businesses. However, companies also encounter a number of challenges as they try to leverage the benefits of big data.
KDnuggets
AUGUST 3, 2022
A year ago, Objectiv started a community of 50 companies to develop a Hugging Face like open-source project for customer data modeling. They key objective: enable building data models on one team/company’s dataset, and then run them seamlessly on another.
Analytics Vidhya
JULY 31, 2022
This article was published as a part of the Data Science Blogathon. Introduction In certain circumstances, using pre-built frameworks from machine learning and deep learning libraries may be beneficial. However, you should attempt to put things into practice on your own to have good command and comprehension. This article demonstrates how to create a CNN […].
Dataconomy
AUGUST 4, 2022
Could machine learning’s escalating costs and carbon footprint be reduced by using analog AI hardware instead of digital to tap into quick, low-power processing? Researchers Logan Wright and Tatsuhiro Onodera from Cornell University and NTT Research foresee a time when machine learning (ML) will be carried out using cutting-edge physical.
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?
Smart Data Collective
AUGUST 4, 2022
Data analytics technology has changed many aspects of the modern workplace. A growing number of companies are using data to make more informed hiring decisions , track payroll issues and resolve internal problems. One of the most important benefits of data analytics is that it can help companies monitor employee performance and provide more accurate feedback.
KDnuggets
AUGUST 2, 2022
A simple, non-math heavy explanation of two popular tree-based machine learning models.
Analytics Vidhya
AUGUST 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction to Intelligent Search Algorithms Search problems are widespread in real-world applications. Search algorithms are beneficial in simplifying or solving the problems such as searching a database or the internet. One of the most popular search problems is to find the shortest path […].
FlowingData
AUGUST 2, 2022
Who is the most famous person born in the place you live? This interactive map by Topi Tjukanov lets you answer that question for anywhere in the world. The pool of possible people comes from a cross-verified database of 2.29 million people, based on Wikipedia entries and Wikidata. You can also see the most notable person per category: culture, science, leadership, and sports.
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
Smart Data Collective
AUGUST 4, 2022
Analytics technology has transformed the healthcare industry in recent years. Healthcare organizations are projected to spend over $80 billion on analytics services by 2028. There are many benefits of leveraging analytics in healthcare. Hospitals and individual healthcare providers are using analytics tools to predict the likelihood a patient will develop a disease, minimize medical error rates, reduce costs of delivering treatment and provide a better overall patient experience.
KDnuggets
AUGUST 3, 2022
Breakthrough value is found when teams collaborate at their intersections to come up with innovative solutions.
Analytics Vidhya
AUGUST 3, 2022
This article was published as a part of the Data Science Blogathon. Introduction Microsoft’s Power BI is one of its rapidly growing corporate analytics services. This self-service business intelligence tool is the latest and greatest in the data-driven industry. It eased the workaround for attaining data from several sources and consolidating it into one management […].
Eugene Yan
JULY 30, 2022
Some off-the-beaten uses of Python learned from reading libraries.
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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