Smart Data Collective

AUGUST 6, 2020

Thomas Griffin, the CEO of Optim Monster, points out that savvy marketers use artificial intelligence to enhance the quality of their video marketing strategies to expand their reach and multiply their conversion rates. You can use deep learning technology to replicate a voice that your audience will resonate with.

Deep Learning 81

Deep Learning Visualization Data-driven Marketing 81

CIO Business Intelligence

FEBRUARY 22, 2024

We also use augmented and virtual reality to train and assist workers, big data to analyze and visualize large volumes of information, machine learning to automate and optimize tasks, and deep learning to extract knowledge from images, texts, sounds and other types of data.”

IT 105

IT Digital Transformation IoT Cost-Benefit 105

Data Science 101

APRIL 29, 2019

Tukey, Design Thinking, and Better Questions – In short, spend some time trying to optimize the question Faster multiplication – 2 mathematicians discovered a technique to multiply numbers in O(n log n) time. This article covers some tips for just that. What do you think?

Data Science 81

Data Science Deep Learning Software Machine Learning 81

IBM Big Data Hub

SEPTEMBER 19, 2023

Auto-generated code suggestions can increase developers’ productivity and optimize their workflow by providing straightforward answers, handling routine coding tasks, reducing the need to context switch and conserving mental energy. It can also help identify coding errors and potential security vulnerabilities.

Software 87

Software IT Visualization Deep Learning 87

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. Finally, Business Intelligence tools visualize the results to end-users. So, what do these terms really mean?

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

CIO Business Intelligence

APRIL 6, 2022

In this way, AIOps frees up decision makers to focus on larger business issues, as well as provides them with clear visual information. For example, on the front end, healthcare organizations can optimize secure access to clinical data to improve the level of care provided and reduce patient wait times.

Data mining 72

Data mining Deep Learning Insurance Digital Transformation 72

Smart Data Collective

SEPTEMBER 30, 2021

Other achievements involved generating language that is aligned with human speaking and writing patterns, and visual understanding. It can be used to run a generative machine learning model via a large dataset, making the model significantly more accurate and useful.

Deep Learning 96

Deep Learning Machine Learning Business Objectives Testing 96

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI technology in commerce—such as deploying deep learning models trained on inadequate or inappropriate data—lead to bad experiences that alienate both consumers and businesses.

B2B 70

B2B Interactive Optimization Forecasting 70

Smart Data Collective

NOVEMBER 1, 2020

With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning? If you’ve ever come across deep learning, you might have heard about two methods to teach machines: supervised and unsupervised. The Bottom Line.

Machine Learning 133

Machine Learning Data mining Visualization Statistics 133

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. provides the user with visualizations, code editor, and debugging. Let’s get started. Exclusive Bonus Content: Download Our Free Data & Science Checklist!

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

OCTOBER 18, 2023

Recent research reveals that deep learning model training resources have doubled every 3.4 The number of parameters is unknown but this version has the capacity to handle more complex problems and analysis and to analyze visual images.

Consulting 52

Consulting Digital Transformation Software Deep Learning 52

Smart Data Collective

JUNE 4, 2021

Visual graphs are the core of descriptive statistics. The center of each cluster is the optimal location for setting up health centers. Deep Learning. Deep learning is a subset of machine learning that works similar to the biological brain. Use deep learning techniques for image recognition.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. Python is the most common programming language used in machine learning.

Machine Learning 58

Machine Learning Data Science Statistics Deep Learning 58

Smart Data Collective

SEPTEMBER 16, 2020

While third-party data can play a role in both optimization and conversions, it isn’t necessarily the most useful in the predictive analytics world. Deep Learning, Machine Learning, and Automation. From a predictive analytics standpoint, you can be surer of its utility.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Generative AI can produce high-quality text, images and other content based on the data used for training.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

Smart Data Collective

JULY 8, 2021

Acting as a powerful 3D design tool, BIM software like Revit allows its users to visualize the final end product and make modifications that integrate with the model seamlessly. With a vast knowledge of previous projects, AI-assisted BIM can come up with the most optimal plan for future ones.

Cost-Benefit 125

Cost-Benefit Deep Learning Modeling Visualization 125

Domino Data Lab

MARCH 11, 2021

In this article, we’ll show key considerations for selecting the right machine learning framework for your project and briefly review four popular ML frameworks. Here are several key considerations you should take into account when selecting a machine learning framework for your project. Parameter Optimization.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). spaCy Named Entity Visualizer.

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227

IBM Big Data Hub

AUGUST 28, 2023

Machine learning algorithms like Naïve Bayes and support vector machines (SVM), and deep learning models like convolutional neural networks (CNN) are frequently used for text classification. A targeted approach will optimize the user experience and enhance an organization’s ROI.

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. ” AGI analyzes relevant code, generates a draft function with comments explaining its logic and allows the programmer to review, optimize and integrate it.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

FineReport

DECEMBER 19, 2019

At the same time, it also advocates visual exploratory analysis. The visualization component library of FineReport is very rich. Pandas incorporates a large number of analysis function methods, as well as common statistical models and visualization processing. It is recommended that everyone learn to learn.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

CIO Business Intelligence

MAY 16, 2022

By capturing visual and sensor data, combining it with other data points and analyzing it all for insights and trends ? To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. It all boils down to using data efficiently.

Recreation/Entertainment 104

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 104

IBM Big Data Hub

AUGUST 11, 2023

MLOps is the next evolution of data analysis and deep learning. Simply put, MLOps uses machine learning to make machine learning more efficient. Each data attribute, or feature, is managed within a feature store and can be added, deleted, combined or adjusted to improve the machine learning model.

Data Science 57

Data Science Machine Learning Cost-Benefit Deep Learning 57

bridgei2i

JUNE 23, 2021

It can consist of a dashboard to unify data and improve visualization so that the stakeholders can easily detect, prevent, and manage fraudulent activities. It helps optimize business productivity and profitability and improves customer acquisition capability due to more accurate customer pricing and reduced fraudulent claims.

Insurance 52

Insurance Risk Deep Learning Data-driven 52

DataRobot

OCTOBER 20, 2021

Data literacy is the ability to understand data science and AI applications critically using basic data visualization, communication, and reasoning skills. rule-based AI , machine learning , deep learning , etc.) What Is Data Literacy?

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

Domino Data Lab

JULY 28, 2021

It is the job of a data scientist to navigate these subtle differences, pick the model that aligns best with the problem statement, optimize and monitor performance and translate the findings back into a business context. These changes often personify themselves as square roots, lambdas or inverted matrices.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Jen Stirrup

MAY 5, 2020

You can also use Azure Data Lake storage as well, which is optimized for high-performance analytics. You can use Visual Studio, which is a home for many developers. You can also use familiar languages, such as Python, R, Scala, JavaScript and code in Visual Studio. You can use Eclipse technology, Jupyter and Zeppelin.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Domino Data Lab

JULY 28, 2021

Today, the most advanced techniques used in data science are grouped under the term Artificial Intelligence (AI) Due to their information-acquiring nature, machine learning, deep learning, natural language processing (NLP) and computer vision are all considered branches within the field of AI. None of these techniques are new.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Smart Data Collective

MARCH 22, 2019

Marketers have utilized deep learning technology to get a better understanding of their customers, so they can refine their creative and targeting strategies. It is a good idea to present thinner webpages with fewer visual elements to these users, so that the website will load more quickly. Connect users to the closest server.

Big Data 45

Big Data Deep Learning Machine Learning Marketing 45

bridgei2i

OCTOBER 7, 2020

Importance of capturing market data for optimized pricing models. The automated process can then be used to parse data sources like structured and unstructured data sources such as – IoT data, claims data, physical proofs, social data, life health data and in a variety of formats such as textual, visual, sensor-based and electronic etc.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

bridgei2i

DECEMBER 15, 2021

1] These deep learning engines work by consolidating, comparing, and extracting information about the user’s historical data and then filtering out this information for suggestions or recommendations. AI in Recommendation Engines for OTT Platforms. billion by 2025.[1] Role of Metadata in Videos – AI in Ads for OTT.

Recreation/Entertainment 52

Recreation/Entertainment Metadata Advertising Predictive Modeling 52

AWS Big Data

MAY 16, 2024

However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information. This often overwhelms traditional visualization tools and methods. Figure 1 – Map built with CARTO Builder and the native support to visualize H3 indexes What are spatial indexes?

Data Warehouse 107

Data Warehouse Visualization Cost-Benefit Optimization 107

Domino Data Lab

APRIL 29, 2021

Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list. Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel is important for analytical practitioners and leaders to understand. Deep Learning Trends from GTC21.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Insight

JANUARY 14, 2020

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Keras is an open source deep learning API that was written in Python and runs on top of Tensorflow, so it’s a little more user-friendly and high-level than Tensorflow.

Metrics 58

Metrics Optimization Modeling Testing 58

Smarten

APRIL 19, 2024

Benefits include customized and optimized models, data, parameters and tuning. Price and bundling optimization, demand pricing, and other variables will be included to provide the best options, prices and responses and to personalize the approach and present results for data analysis and for end users.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

DataRobot Blog

APRIL 22, 2022

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. We covered different ways of measuring model efficiency and showed ways to visualize this and select models based on it. Conclusion.

Machine Learning 98

Machine Learning Measurement Deep Learning Manufacturing 98