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This article was published as a part of the Data Science Blogathon. Introduction Nowadays, Machine learning is being used in various areas in the health business, including the development of improved medical processes, the management of patient records and data, and the treatment of chronic diseases. Healthcare firms may use machine learning to meet rising demand, […].
At DISH Network , cloud-adoption strategies vary by when the parts of its business started – from those born in the cloud to legacy sectors deploying cloud on an opportunistic basis. But one thing is clear to Atilla Tinic, the company’s EVP and CIO: “I do think the key is the cloud.” He added: “The strategy around cloud is not ROI on a case-by-case basis.
Naïve Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this article, we will understand the Naïve Bayes algorithm and all essential concepts so that there is no room for doubts in understanding.
Data visualization has become a major part of life for those looking to make use of the large swathes of data available in the modern world. As important as this data is, understanding and making use of that data is even more important. That’s where data visualization comes in. Data visualization is, to put it simply, converting hard data and lists of numbers or facts, into an easier to comprehend form.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to build a vehicle counter system using OpenCV in Python using the concept of Euclidean distance tracking and contours. In the last article, we talked about object detection in OpenCV using haar cascades, if you haven’t […]. The post Building Vehicle Counter System Using OpenCV appeared first on Analytics Vidhya.
Employees are quitting jobs at record rates and companies are having a hard time luring them back. Exacerbating the problem is the fact that employees are now frequently working from home, making it harder for managers to identify employees who are unhappy. Plus, getting new hires up to speed is more challenging when they can’t attend in-person training sessions or shadow experienced employees.
According to one source, the types of questions that will generally be asked in data scientist interviews can be broken down into five categories. Let's take a closer look.
According to one source, the types of questions that will generally be asked in data scientist interviews can be broken down into five categories. Let's take a closer look.
Although we’re only a few months into 2022, this year has already seen massive cyberattacks, huge ransomware payouts, and data breaches never witnessed before. On average, damages due to cyberattacks are growing by 15% per year, with a predicted total value of $10.5 trillion lost each year by 2025. Across the different formats of cybercrime, one continual contender is data breaches, with 60% of businesses that experience any form of data breach going out of business in the following six months.
This article was published as a part of the Data Science Blogathon. Healthcare Data using AI Medical Interoperability and machine learning (ML) are two remarkable innovations that are disrupting the healthcare industry. Medical Interoperability is the ability to integrate and share secure healthcare information promptly across multiple systems. Medical Interoperability along with AI & Machine Learning […].
Supply chain woes continue to plague organizations around the world and in virtually all sectors. For some, leveraging data and analytics tools is proving to be an effective way to address the challenges. Disruptions to global supply chains due to the COVID-19 pandemic have been significant. As consulting firm Deloitte notes, the free movement and operation of people, raw materials, finished goods, and factory operations have been stymied.
The article summarizes the plethora of UQ methods using Bayesian techniques, shows issues and gaps in the literature, suggests further directions, and epitomizes AI-based systems within the Financial Crime domain.
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
The data science profession has become highly complex in recent years. Data science companies are taking new initiatives to streamline many of their core functions and minimize some of the more common issues that they face. They are using tools like Amazon SageMaker to take advantage of more powerful machine learning capabilities. Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology.
This article was published as a part of the Data Science Blogathon. Introduction BI tools, including software services, apps, and data connectors, make up the Microsoft Power BI portfolio. Data from many sources are combined into a single dataset in this cloud-based platform. These data sets create shareable reports, dashboards, and apps for data visualization, evaluation, […].
The list of tasks facing enterprise CIOs today is so long that it can be tempting to overlook the little things—like making sure the alt text on your website works correctly. But CIOs increasingly ignore such details at their peril: 11 lawsuits are filed every day in U.S. courts over website inaccessibility. And 412 of the top 500 internet retailers have been party to at least one lawsuit over the last four years alleging that their websites discriminate against users with disabilities.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Data analytics has led to a huge shift in the marketing profession. A large part of this is due to advances in digital marketing. Digital marketers have an easier time compiling data on customer engagements, because most behavior and variables can be easily tracked. This is particularly true for search engine marketers. Earlier this year, VentureBeat published an article titled How data science can boost SEO strategy.
“The World is One Big Data Problem” – Andrew McAfee. Analytics Vidhya is back with its 19th Edition of the Data Science Blogathon which is live from TODAY! So the wait is over, click here to Register Now! Introduction The Data Science Blogathon by Analytics Vidhya began with a simple mission: To bring together […]. The post Data Science Blogathon 19th Edition appeared first on Analytics Vidhya.
IBM is refreshing its mainframe range, putting an AI accelerator on the processor and surrounding it with new cryptographic features the company says will help protect today’s data against the quantum computing attacks of the future. Slated to be available May 31, 2022, the IBM z16 will offer CIOs a way to deploy AI inferencing in the same secure environment, and at the same speed, as their transaction processing.
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
MLOps is a term that is gaining a lot of traction, but definitions of the concept remain blurry and many misleading myths are circulating. In “The 7 Myths of MLOps,” a recent Dataiku Product Days session, we have aimed to set the record straight with some reality checks and myth-busting. This blog recaps the useful information revealed in the session.
Introduction Exploratory Data Analysis is a method of evaluating or comprehending data in order to derive insights or key characteristics. EDA can be divided into two categories: graphical analysis and non-graphical analysis. EDA is a critical component of any data science or machine learning process. You must explore the data, understand the relationships between variables, […].
Two years after a global pandemic first shut down the world — and IT departments took a leading role in maintaining businesses’ survival — the IT function has been changed forever. As the dust has settled, many tech leaders have found that changes they were forced to make to their work strategies, leadership styles, and team structures have turned out to be team-transforming epiphanies that will endure going forward.
The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not.
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
Few people anticipated that big data would have such a profound impact on the e-commerce sector. Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies. These benefits include the following: You can use data analytics to better understand the preferences of your users and provide personalized product recommendatio
This article was published as a part of the Data Science Blogathon. Introduction In the former article, we looked at how RNNs are different from standard NN and what was the reason behind using this algorithm. In this article we will dig a bit deeper into RNN, we will see the mathematical details and try to […]. The post Recurrent Neural Networks: Digging a bit deeper appeared first on Analytics Vidhya.
The COVID-19 pandemic has caused a massive diaspora from the office, at least for knowledge workers. According to a recent study, a quarter of all high-paying jobs will be remote in the next 12 months. This has the potential to create massive change not only to society, real estate markets, and urban centers but also to the way you manage a team. Keeping a remote — or hybrid — IT team productive is very different from managing a team that shows up to the office every day.
Check out the collection of the best data repositories on agriculture, audio, biology, climate, computer vision, economics, education, energy, finance, and government.
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.
Online fraud is growing at a frightening pace. Many cybercriminals believe they can con eCommerce stores out of their cash and never be caught because they are operating over the internet. One particular scam called fraudulent Buy Online Return In-Store (BORIS) is thought to have cost retailers a staggering $1.6 billion last year. However, new advances in AI are changing this situation.
This article was published as a part of the Data Science Blogathon. Introduction Hashing is the process of mapping keys and values into a hash table by using a hash function. It makes elements more accessible faster. The efficiency of the hash function determines how well it can handle the mapping. When you have 20000 […]. The post Ways to Calculate Hashing in Data Structure appeared first on Analytics Vidhya.
Want to survive as CIO? You need the right priorities. And for most CIOs, at this precise moment, your average CIO’s top 5 priorities are: Security. Security. Security. Security. Not to mention security. Notice what’s missing? If your answer is “everything is missing,” go to the head of the class. Security is, for today’s CIO, a two-edged blade. One sharp edge is underinvesting in security.
Learn tricks on importing various data formats using Pandas with a few lines of code. We will be learning to import SQL databases, Excel sheets, HTML tables, CSV, and JSON files with examples.
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?
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