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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O'Reilly on Data
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.
David Menninger's Analyst Perspectives
AUGUST 2, 2022
I often use the term “analytics” to refer to a broad set of capabilities, deliberately broader than business intelligence. In this Perspective, I’d like to share what decision-makers should consider as they evaluate the range of analytics requirements for their organization.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
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 Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry 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.
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 […].
CIO Business Intelligence
AUGUST 4, 2022
Great teams incorporate a variety of skill sets. For example, a football team consisting of 11 quarterbacks would get crushed in a game against talented linemen, running backs and receivers. It’s no different when building a team for an enterprise AI project; you can’t just throw a bunch of data scientists into a room and expect them to come up with a revenue-generating or efficiency-improving project without support from other members of the enterprise.
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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.
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.
CIO Business Intelligence
AUGUST 1, 2022
Concerns about a looming recession have not derailed the booming IT job market. In the first half of this year, 115,000 new IT jobs were added, according to consulting firm Janco Associates. Even with inflation, high energy costs, and the invasion of Ukraine, IT hiring continued at a record-setting pace, but keeping tech talent still poses challenges.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
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 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 […].
CIO Business Intelligence
AUGUST 1, 2022
With more than 30,000 employees spread across more than 60 affiliate locations and 14 manufacturing sites around the world, pharmaceutical company Eli Lilly operates at a truly global scale. Operating at that scale comes with issues, not the least of which is sharing accurate and timely information internally and externally. “From internal training materials to formal, technical communications to regulatory agencies, Lilly is translating information often,” says Timothy F.
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 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 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 […].
CIO Business Intelligence
AUGUST 5, 2022
A vast majority of enterprises globally are overspending in the cloud, according to a new HashiCorp-Forrester report. In a survey that saw participation of over 1,000 IT decision makers across North America, Europe, Middle East and Asia-Pacific, 94% of respondents said their organizations had notable, avoidable cloud spend due to a combination of factors including underused, overprovisioned resources, and lack of skills to utilize cloud infrastructure.
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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.
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 […].
CIO Business Intelligence
AUGUST 2, 2022
Driven by the ongoing need for companies to automate repetitive tasks, global RPA (robotic process automation) software revenue is expected to reach $2.9 billion in 2022, up by 19.5% from last year, according to a market research report by Gartner. North America will account for the largest revenue share at 48.5%, followed by Western Europe and Japan at 19% and 10% respectively, Gartner said.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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 4, 2022
A growing number of businesses are discovering the importance of big data. Thirty-two percent of businesses have a formal data strategy and this number is rising year after year. Unfortunately, they often have to deal with a variety of challenges when they manage their data. One of the biggest issues is with managing the tables in their SQL servers.
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 […].
CIO Business Intelligence
AUGUST 5, 2022
Due to Nigeria’s fintech boom borne out of its open banking framework, the Central Bank of Nigeria (CBN) has published a much-awaited regulation draft to govern open banking procedures. And at its core is the need to secure customer data through a robust set of requirements. The regulations streamline how entities who handle customer banking information will secure their systems and share details within protected application program interfaces.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
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