Analytics Vidhya
MARCH 1, 2022
This article was published as a part of the Data Science Blogathon. Computer vision has advanced considerably but is still challenged in matching the precision of human perception. This article belongs to computer vision. Here we will learn from scratch. It can be challenging for beginners to distinguish between different related computer vision tasks.
David Menninger's Analyst Perspectives
MARCH 2, 2022
Natural language processing (NLP) is a field that combines artificial intelligence (AI), data science and linguistics that enables computers to understand, interpret and manipulate text or spoken words. NLP includes generating narratives based on a set of data values, using text or speech as inputs to access information, and analysing text or speech, for instance, to determine its sentiment.
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Smart Data Collective
MARCH 1, 2022
AI technology is changing many aspects of modern business. More companies are using AI technology to automate their social media marketing strategies. We previously mentioned the benefits of using data analytics to make the most of social media marketing. However, AI is arguably even more important. Social media is a highly profitable way to market.
KDnuggets
MARCH 4, 2022
How do you keep up with all the news and trends, and navigate through the endless stream of AI information? Check out this author's list of favorite AI papers sources that help you float effortlessly in the info ocean.
Advertiser: ZoomInfo
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.
Analytics Vidhya
MARCH 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction As most of us are doing our jobs or attending school/college virtually, we often have to attend online meetings and we can’t expect each of our places to always be quiet. Some of us may live in a noisy environment where we can […]. The post Audio Denoiser: A Speech Enhancement Deep Learning Model appeared first on Analytics Vidhya.
Dataiku
MARCH 3, 2022
There is a global push for digital transformation and taking an “innovation first” approach, but, up to 80% of these initiatives will fail. Organizations approach data science and analytics platforms with the expectation of large projects that provide large returns on investment. However, the success of small projects can have a much broader impact on company-wide technology adoption.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
MARCH 4, 2022
While there may always seem to be something new, cool, and shiny in the field of AI/ML, classic statistical methods that leverage machine learning techniques remain powerful and practical for solving many real-world business problems.
Analytics Vidhya
MARCH 3, 2022
This article was published as a part of the Data Science Blogathon. Introduction The Tensorflow framework is an open end-to-end machine learning platform. It’s a symbolic math toolkit that integrates data flow and differentiable programming to handle various tasks related to deep neural network training and inference. It enables programmers to design machine learning applications utilising […].
Juice Analytics
MARCH 4, 2022
March is Women’s History Month and as a company that celebrates women, we wanted to highlight some of the most influential women in the history of data visualization! So let us introduce you to some of these incredible women who have shaped the industry we all love and are committed to pushing forward. Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization.
Smart Data Collective
MARCH 4, 2022
META: We’re breaking down the ways social media has changed businesses and how you can use these changes to get ahead. Digital technology is unquestionably changing the future of business. Two of the biggest advances in technology that are influencing the direction of business are social media and data analytics. These may seem like unrelated technologies to the average person, but they are actually closely intertwined.
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
KDnuggets
MARCH 3, 2022
In the Cybersecurity sector Adversarial machine learning attempts to deceive and trick models by creating unique deceptive inputs, to confuse the model resulting in a malfunction in the model. .
Analytics Vidhya
MARCH 3, 2022
This article was published as a part of the Data Science Blogathon. Introduction The activation function is defined as follows: The activation function calculates a weighted total and then adds bias to it to decide whether a neuron should be activated or not. The Activation Function’s goal is to introduce non-linearity into a neuron’s output.
Dataiku
MARCH 4, 2022
Since the Spanish flu, countries around the globe have established government organizations and departments of health in order to implement public health mandates and coordinate and manage national health responses during times of crisis (i.e., the global health crisis that began in 2020 or natural disasters such as droughts, bushfires, and floods, among others).
Smart Data Collective
MARCH 2, 2022
Data science is an evolving profession. Artificial intelligence is also changing at a remarkable pace. A number of new platforms and tools are being regularly rolled out to help data scientists do their jobs more effectively and easily. Savvy data scientists and AI developers are keeping up with trends and learning the new technology that can help them work more efficiently.
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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.
KDnuggets
MARCH 2, 2022
Analysts predict an AI boom, driven by possibilities and record funding. While challenges remain, a hybrid approach combining the best of the realm may finally send it sailing into the mainstream.
Analytics Vidhya
MARCH 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be predicting how engaging a video can be at the user level. We have been provided with a dataset that contains that user’s earlier videos engagement score along with their personal information. We will build multiple regression models […].
Cloudera
MARCH 3, 2022
Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance. In 2019, the U.K.’s Information Commissioner’s Office fined Marriott International over £99 million ($136 million) for violating the General Data Protection Regulation (GDPR), a European law govern
Smart Data Collective
MARCH 3, 2022
There is no question that data has become a valuable asset to almost every organization. Companies use big data to optimize their marketing strategies, maintain better relationships with their customers, manage their financial strategies and improve human resources capabilities. Unfortunately, data isn’t always easy to manage. You need to rely on the services of a well trained specialist that understands the nuances of big data technology.
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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.
KDnuggets
MARCH 4, 2022
CV has the potential to transform industries and how they operate. Here are some of the most notable applications worth exploring.
Analytics Vidhya
MARCH 2, 2022
This article was published as a part of the Data Science Blogathon. What is Convolutional Neural Network? Convolutional Neural Networks also known as CNNs or ConvNets, are a type of feed-forward artificial neural network whose connectivity structure is inspired by the organization of the animal visual cortex. Small clusters of cells in the visual cortex are […].
TDAN
MARCH 1, 2022
This article is the third in a series taking a deep dive on how to do a current state analysis on your data. This article focuses on data culture, what it is, why it is important, and what questions to ask to determine its current state. The first two articles focused on data quality and data […].
Smart Data Collective
FEBRUARY 28, 2022
There is no question that advances in data technology have led to some major changes in the financial industry. A growing number of banks, insurance companies, investment management firms and other financial institutions are finding creative ways to leverage big data technology. The market size for financial analytics services is currently worth over $25 billion.
Advertiser: ZoomInfo
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!
KDnuggets
MARCH 3, 2022
This article will solely focus on learning linear algebra, as it forms the backbone of machine learning model implementation.
Analytics Vidhya
MARCH 1, 2022
This article was published as a part of the Data Science Blogathon. There are immense computational costs of Deep Learning and AI. Artificial intelligence algorithms, which power some of technology’s most cutting-edge applications, such as producing logical stretches of text or creating visuals from descriptions, may need massive amounts of computational power to train.
Depict Data Studio
FEBRUARY 28, 2022
Andrew Forsman is a Depict Data Studio student and self-described “data viz nerd” who has over 10 years of experience helping organizations plan for, execute, and learn from research and evaluations. Andrew’s sharing examples of slider plots and step-by-step instructions for making them in Excel. Thanks for sharing, Andrew! –Ann. — Hey everyone!
Smart Data Collective
MARCH 4, 2022
Running a small business can be difficult; you have to do multiple things simultaneously – and sometimes it’s not enough. However, technology proves to be handy when it comes to streamlining things and helping you save money and time. In fact, most successful companies depend on technology for almost every aspect of their businesses. And while there are many types of technology available, choosing to go digital does not have to be a headache.
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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
MARCH 1, 2022
Check out this curated collection for new and popular tools to add to your data stack this year.
Analytics Vidhya
FEBRUARY 26, 2022
This article was published as a part of the Data Science Blogathon. Introduction Data Augmentation (DA) Technique is a process that enables us to artificially increase training data size by generating different versions of real datasets without actually collecting the data. The data needs to be changed to preserve the class categories for better performance in […].
TDAN
MARCH 1, 2022
Why Differential Privacy Overcomes Many of the Fatal Flaws of De-Identification and Data Masking If data is the new oil, then privacy is the new environmentalism. With the growing use of data comes the need for strong privacy protections. Indeed, robust data privacy protects against rogue employees spying on users (like these at Uber or Google) or even well-meaning employees who have […].
Smart Data Collective
FEBRUARY 28, 2022
We are all in awe of the changes that big data has created for almost every industry. The implications of big data is more obvious in some industries than others. For example, we can all appreciate the tremendous changes that data science has created for the financial industry, healthcare and web design. The impact developments in data technology have had on other industries have gotten far less publicity, but that doesn’t mean it hasn’t been significant.
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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?
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