Analytics Vidhya

APRIL 25, 2024

Inspired by attention-based models, it revolutionizes facial recognition technology. This blog post explores GhostFaceNets through captivating visuals and insightful illustrations, aiming to educate, motivate, and spark creativity.

Visualization 304

Visualization Modeling Technology Analytics 304

Domino Data Lab

JULY 10, 2019

New tools are constantly being added to the deep learning ecosystem. For example, there have been multiple promising tools created recently that have Python APIs, are built on top of TensorFlow or PyTorch , and encapsulate deep learning best practices to allow data scientists to speed up research.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

Analytics Vidhya

JULY 25, 2022

Introduction Computer Vision Is one of the leading fields of Artificial Intelligence that enables computers and systems to extract useful information from digital photos, movies, and other visual inputs. It uses Machine Learning-based Model Algorithms and Deep Learning-based Neural Networks for its implementation. […].

Deep Learning 293

Deep Learning Machine Learning Visualization Data Science 293

DataRobot

DECEMBER 20, 2021

Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient. However, not everyone has deep learning skills or budget resources to spend on GPUs before demonstrating any value to the business. Who Can Benefit from the Visual Data? DataRobot Visual AI.

Visualization 97

Visualization Deep Learning Machine Learning Modeling 97

Analytics Vidhya

APRIL 16, 2024

This innovative AI merges visual understanding with advanced language skills, allowing it to handle visual and textual data effectively. Unlike its predecessors and similar models like GPT-4, […] The post Grok-1.5V: Setting New Standards in AI with Multimodal Integration appeared first on Analytics Vidhya.

Visualization 272

Visualization Modeling Analytics IT 272

Analytics Vidhya

FEBRUARY 4, 2023

Introduction As a data scientist, you have the power to revolutionize the real estate industry by developing models that can accurately predict house prices. This blog post will teach you how to build a real estate price prediction model from start to finish. appeared first on Analytics Vidhya.

Predictive Modeling 294

Predictive Modeling Modeling Data Collection Analytics 294

CIO Business Intelligence

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

Deep Learning 124

Deep Learning IT Machine Learning IoT 124

Analytics Vidhya

JANUARY 6, 2023

Introduction The UNet architecture is a deep learning model specifically designed for image segmentation tasks. This article was published as a part of the Data Science Blogathon.

Deep Learning 265

Deep Learning Data Science Publishing Modeling 265

Analytics Vidhya

APRIL 22, 2024

VASA-1, the premiere model introduced in this work, is a framework for generating realistic talking faces with appealing visual affective skills (VAS) […] The post Microsoft’s VASA-1 Makes Fake Look Like Real appeared first on Analytics Vidhya.

Visualization 214

Visualization Modeling Analytics Deep Learning 214

CIO Business Intelligence

SEPTEMBER 29, 2023

These skills include expertise in areas such as text preprocessing, tokenization, topic modeling, stop word removal, text classification, keyword extraction, speech tagging, sentiment analysis, text generation, emotion analysis, language modeling, and much more.

Deep Learning 143

Deep Learning Machine Learning Modeling Consulting 143

Dataiku

MARCH 25, 2024

This scenario is not science fiction but a glimpse into the capabilities of Multimodal Large Language Models (M-LLMs), where the convergence of various modalities extends the landscape of AI. Moreover, M-LLMs adeptly answer questions about visual content, aiding in tasks like image recognition and scene understanding.

Visualization 132

Visualization Modeling Experimentation Testing 132

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

DataRobot Blog

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52

Risk Modeling Metrics Business Objectives 52

Analytics Vidhya

MARCH 15, 2023

Introduction DocVQA (Document Visual Question Answering) is a research field in computer vision and natural language processing that focuses on developing algorithms to answer questions related to the content of a document, like a scanned document or an image of a text document.

Visualization 314

Visualization Analytics Deep Learning Machine Learning 314

Analytics Vidhya

APRIL 26, 2024

Adaptive Discriminator Augmentation dynamically adjusts data augmentation during GAN training, preventing discriminator overfitting and enhancing model generalization. In this article we’ll train Data-efficient GANs with Adaptive Discriminator Augmentation that addresses the challenge of limited training data.

Modeling 291

Modeling Analytics Unstructured Data Deep Learning 291

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It culminates with a capstone project that requires creating a machine learning model.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions.

Deep Learning 69

Deep Learning Experimentation Machine Learning Risk 69

IBM Big Data Hub

JANUARY 11, 2024

Overcoming the limitations of generative AI We’ve seen numerous hypes around generative AI (or GenAI) lately due to the widespread availability of large language models (LLMs) like ChatGPT and consumer-grade visual AI image generators. Fortunately, production-oriented AI research was going on for years before ChatGPT arrived.

Digital Transformation 106

Digital Transformation Modeling Deep Learning Visualization 106

Cloudera

FEBRUARY 25, 2021

AMPs move the starting line for any ML project by enabling data scientists to start with a full end-to-end project developed for a similar use case, including a trained and deployed ML model, as well as prebuilt predictive business applications, out of the box. The work of a machine learning model developer is highly complex.

Deep Learning 81

Deep Learning Machine Learning Forecasting Visualization 81

Sisense

APRIL 10, 2020

It’s quite popular for its visualizations: charts, graphs, pictures, and various plots. These visualizations are useful for helping people visualize and understand trends , outliers, and patterns in data. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. and SAS Text Analytics, Time Series, Experimentation, and Optimization.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

CIO Business Intelligence

JUNE 7, 2022

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

IBM Big Data Hub

SEPTEMBER 19, 2023

Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). It uses deep learning algorithms and large neural networks trained on vast datasets of diverse existing source code. How does generative AI code generation work?

Software 86

Software IT Visualization Deep Learning 86

Cloudera

JULY 27, 2021

Fitting Prophet models with complex seasonalities for electricity demand forecasting. Understanding the technologies underlying these examples – both what they can do, and how they work – relied heavily on exploration and visualization. We can explore model behaviour, as in Few-Shot Text Classification.

Data Science 111

Data Science Enterprise Experimentation Machine Learning 111

CIO Business Intelligence

OCTOBER 10, 2023

Each key area has its own unique aspects, but collectively, we are utilizing our own deep learning models, large language models, NLU, NLP, ASR, and other AI agents.” The College of Southern Nevada received a 2023 CIO 100 Award for IT innovation and leadership for its work in partnership with AI Foundation on the avatar.

Deep Learning 115

Deep Learning Visualization Interactive Modeling 115

CIO Business Intelligence

FEBRUARY 22, 2024

There’s no defined hierarchical structure, but the Hub is based on a transversal and collaborative model where groups are created, and employees from all areas work on specific projects along with external experts. One of the main strategic transversal areas is AI. With this in mind, the AI ​​CoE acts along two clear lines at a global level.

IT 101

IT Digital Transformation IoT Cost-Benefit 101

Corinium

JUNE 6, 2019

Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. It is also important to have a strong test and learn culture to encourage rapid experimentation.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Smart Data Collective

SEPTEMBER 30, 2021

This speed of vaccine development was also possible due to AI models that served researchers in analyzing vast amounts of coronavirus data. Machine learning was able to sort through this enormous amount of data and predict which subcomponents are the most immunogenic ones.

Deep Learning 97

Deep Learning Machine Learning Business Objectives Testing 97

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

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). Azure Text Analytics.

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227

Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Visual graphs are the core of descriptive statistics. Programming knowledge is needed for the typical tasks of transforming data, creating graphs, and creating data models. Basics of Machine Learning.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

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

O'Reilly on Data

APRIL 19, 2021

Relatively few respondents are using version control for data and models. Tools for versioning data and models are still immature, but they’re critical for making AI results reproducible and reliable. The biggest skills gaps were ML modelers and data scientists (52%), understanding business use cases (49%), and data engineering (42%).

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

CIO Business Intelligence

SEPTEMBER 7, 2022

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. In the US, Aggio, founded in 2016, offers a cloud-based sales and market-intelligence platform.

B2B 92

B2B Contextual Data IoT Deep Learning 92

Smart Data Collective

JULY 8, 2021

Ever since its emergence at the beginning of the century, building information modeling (BIM) has streamlined the construction process of buildings, up from their conception to execution. These systems will not only improve and accelerate construction projects but also provide even more data to ensure precise building information models.

Cost-Benefit 126

Cost-Benefit Deep Learning Modeling Visualization 126

CIO Business Intelligence

SEPTEMBER 19, 2023

At Estée Lauder , the company has released a voice-enabled makeup assistant designed to assist visually impaired people with applying makeup. AI personalization utilizes data, customer engagement, deep learning, natural language processing, machine learning, and more to curate highly tailored experiences to end-users and customers.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141