KDnuggets
APRIL 8, 2022
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.
Analytics Vidhya
APRIL 4, 2022
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, […].
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Dataconomy
APRIL 3, 2022
IoT security is a subset of information technology that focuses on securing connected devices and internet of things networks. When bad actors search for IoT security flaws, they have a high probability of hacking vulnerable devices. Industrial and equipment connected to them robots have also been hacked. Hackers can alter.
Smart Data Collective
APRIL 7, 2022
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.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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
APRIL 5, 2022
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.
Analytics Vidhya
APRIL 4, 2022
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
APRIL 7, 2022
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.
KDnuggets
APRIL 6, 2022
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.
Analytics Vidhya
APRIL 5, 2022
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 […].
Dataconomy
APRIL 7, 2022
Hybrid cloud computing unifies private, public, and on-premises IT infrastructures to form a single flexible, cost-effective IT infrastructure. The hybrid cloud provides orchestration, management, and application portability across these environments. What is hybrid cloud computing? A hybrid cloud is an IT architecture that incorporates workload portability, orchestration, and management across.
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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
APRIL 5, 2022
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.
KDnuggets
APRIL 7, 2022
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.
Analytics Vidhya
APRIL 5, 2022
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, […].
Dataconomy
APRIL 8, 2022
Do you need a data steward, or do you want to become one? First of all, you have data, which is undoubtedly a blessing. However, instead of the holy grail of usable customer information that marketing, sales, and service teams desire, your staff frequently encounters messy and unreliable data in.
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
APRIL 5, 2022
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.
KDnuggets
APRIL 4, 2022
Check out the collection of the best data repositories on agriculture, audio, biology, climate, computer vision, economics, education, energy, finance, and government.
Analytics Vidhya
APRIL 8, 2022
“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.
Dataconomy
APRIL 4, 2022
Metadata, in its most basic sense, is simply data about data. It’s a method for determining what your data means or represents. It generally includes a description of the data and key background information. The definition of metadata is “a set of data that describes and gives information about other.
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.
FlowingData
APRIL 4, 2022
Among 15-year-old students, here’s how 77 countries compare in reading, math, and science. Higher scores are better. Read More.
KDnuggets
APRIL 6, 2022
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.
Analytics Vidhya
APRIL 5, 2022
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.
Dataconomy
APRIL 4, 2022
Workflow automation refers to using rule-based logic to start a sequence of operations that can run independently without human involvement. Automated processes can send emails, establish reminders, schedule activities, activate drip campaigns, and more without anyone touching a single button after necessary guidelines and logic are established. What is workflow.
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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
APRIL 3, 2022
There is no doubt that big data is important in many organizations. Over 65% of large companies invested over $50 million in big data in 2020. That figure is growing faster in recent years. Data. The word gets used so often that it’s become vague. You are talking about data, sure, but what kind of data ? Finding the right data sets and knowing how to use them is key to any data implementation strategy.
KDnuggets
APRIL 6, 2022
Using AIMET, developers can incorporate advanced model compression and quantization algorithms into their PyTorch and TensorFlow model-building pipelines for automated post-training optimization, as well as for model fine-tuning.
Analytics Vidhya
APRIL 6, 2022
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, […].
Dataconomy
APRIL 8, 2022
Organizations can effectively manage the quality of their information by doing data profiling. Businesses must first profile data metrics to extract valuable and practical insights from data. Data profiling is becoming increasingly essential as more firms generate huge quantities of data every day. Businesses currently manage an average of 162.9.
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
APRIL 5, 2022
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.
KDnuggets
APRIL 4, 2022
An introduction to the DBSCAN algorithm and its implementation in Python.
Analytics Vidhya
APRIL 5, 2022
This article was published as a part of the Data Science Blogathon. Introduction Style transfer is a developing field in neural networks and it is a very useful feature that can be integrated into social media and AI apps. Several neural networks can map and transfer image styles to an input image as per the training […]. The post An Introduction to Creating Stylized Sketches of Faces using JojoGAN appeared first on Analytics Vidhya.
Dataconomy
APRIL 7, 2022
Cisco coined fog computing to describe extending cloud computing to the enterprise’s edge. It’s a decentralized computing platform in which data, computation, storage, and applications are stored somewhere between the data source and the cloud. What is fog computing? The cloud is connected to the physical host via a network.
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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