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.
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.
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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.
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.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Analytics Vidhya
JULY 31, 2022
This article was published as a part of the Data Science Blogathon. Introduction to EDA The main objective of this article is to cover the steps involved in Data pre-processing, Feature Engineering, and different stages of Exploratory Data Analysis, which is an essential step in any research analysis. Data pre-processing, Feature Engineering, and EDA are fundamental early […].
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
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.
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 […].
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.
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.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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.
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 […].
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.
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: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
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.
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.
KDnuggets
AUGUST 1, 2022
Interest in, and demand for, MLOps is growing exponentially. What, exactly, is it? Why is it important? Where should you turn next to learn more? Check out this crash course to find the answers to these questions and more.
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: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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.
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 […].
KDnuggets
AUGUST 5, 2022
In Part Six, I’ll show how limitations in synapses are even more of a problem. Precise synapse weights and the ability to set them quickly to a specific value are crucial to ML and biological neurons offer neither.
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.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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.
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 […].
KDnuggets
AUGUST 2, 2022
The interview process for the job can sometimes be a bit daunting. However, with the right knowledge and preparation, you can make sure you ace the interview and land your dream job. Read this summary of DataCamp’s full article on how to prepare for a data analyst interview, presenting some of the key points. .
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: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
Smart Data Collective
AUGUST 4, 2022
Data loss is a growing problem, as companies become more dependent on data than ever. The cost of data loss can be massive for many companies. A data center outage can cost $7,900 in losses every minute. However, the cost of losing data on a regular computer can be significant as well. Many people store valuable company data on their laptops. Some people also store cryptocurrency wallets on their personal computers.
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 […].
KDnuggets
AUGUST 5, 2022
In this article, we will go over the top five ways to collect or receive data, whether to help optimize an AI-driven machine or simply forecast future consumer demand.
FlowingData
AUGUST 3, 2022
Recently published in Nature , research by Chetty, R., Jackson, M.O., Kuchler, T. et al. suggests that economic connectedness, or friendships between rich and poor, could improve economic mobility. The researchers used Facebook connection data from 70.3?million users, along with demographic and income data. NYT’s The Upshot explains the relationships with a collection of maps and charts.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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