Smart Data Collective

JUNE 10, 2022

The average data scientist earns over $108,000 a year. The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications.

Data Science 117

Data Science Machine Learning Statistics Business Intelligence 117

CIO Business Intelligence

JUNE 7, 2022

But only in recent years, with the growth of the web, cloud computing, hyperscale data centers, machine learning, neural networks, deep learning, and powerful servers with blazing fast processors, has it been possible for NLP algorithms to thrive in business environments. Intel® Technologies Move Analytics Forward.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

Analytics Vidhya

SEPTEMBER 7, 2020

Introduction Overfitting or high variance in machine learning models occurs when the accuracy of your training dataset, the dataset used to “teach” the model, The post How to Treat Overfitting in Convolutional Neural Networks appeared first on Analytics Vidhya.

Machine Learning 279

Machine Learning Modeling Analytics Unstructured Data 279

Analytics Vidhya

MAY 27, 2020

Introduction Every once in a while, a machine learning framework or library changes the landscape of the field. appeared first on Analytics Vidhya. Today, Facebook open sourced one such. The post Facebook AI Launches DEtection TRansformer (DETR) – A Transformer based Object Detection Approach!

Machine Learning 307

Machine Learning Analytics Unstructured Data Deep Learning 307

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. But being an inquisitive Sherlock Holmes of data is no easy task. In the past, data scientists had to rely on powerful computers to manage large volumes of data.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions. See what’s ahead AI can assist with forecasting.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

Analytics Vidhya

APRIL 8, 2023

If the order is […] The post Food Delivery Time Prediction with LSTM Neural Network appeared first on Analytics Vidhya. Other examples are Uber Eats, Food Panda, and Deliveroo, which also have similar services. They provide food delivery options.

Analytics 309

Analytics Unstructured Data Deep Learning Machine Learning 309

bridgei2i

OCTOBER 7, 2020

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. The way ahead for insurers.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Analytics Vidhya

OCTOBER 8, 2020

This article was published as a part of the Data Science Blogathon. Introduction Fastai is a popular open-source library used for learning and practicing. The post Develop and Deploy an Image Classifier App Using Fastai appeared first on Analytics Vidhya.

Data Science 345

Data Science Publishing Analytics Unstructured Data 345

Analytics Vidhya

OCTOBER 7, 2020

The post Boost Model Accuracy of Imbalanced COVID-19 Mortality Prediction Using GAN-based Oversampling Technique appeared first on Analytics Vidhya. Introduction The article covers the use of Generative Adversarial Networks (GAN), an.

Modeling 296

Modeling Data Science Publishing Analytics 296

Domino Data Lab

AUGUST 9, 2021

Before selecting a tool, you should first know your end goal – machine learning or deep learning. Machine learning identifies patterns in data using algorithms that are primarily based on traditional methods of statistical learning. It’s most helpful in analyzing structured data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Testing and Data Observability.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

Ontotext

MAY 22, 2023

Click To Tweet How will LLM impact text analysis and content analytics? This is the case with the so-called intelligent data processing (IDP), which uses a previous generation of machine learning. We use other deep learning techniques for such tasks. We will demonstrate the results of such use of LLMs soon.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

IBM Big Data Hub

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. Foundation models can query very large volumes of domain-specific data in a scalable, cost-effective container.

Modeling 60

Modeling Cost-Benefit Data Lake Machine Learning 60

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. It’s used for developing deep learning models.

Modeling 64

Modeling IT Risk Management Deep Learning 64

Ontotext

FEBRUARY 26, 2024

Strategic planning and predictive analytics : Companies can use this analysis for strategic planning. Using machine learning, RED indicates the impact of events on stock prices. It compares actual price changes to expected changes based on historical data. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

datapine

NOVEMBER 19, 2019

Visual analytics: Around three million images are uploaded to social media every single day. In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting.

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

JULY 2, 2019

Doesn’t this seem like a worthy goal for machine learning—to make the machines learn to work more effectively? Scale the problem to handle complex data structures. Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

IBM Big Data Hub

MAY 17, 2023

It promises end-to-end solutions to manage and monitor a fleet of drones, runs inspection missions to capture high-quality data, accesses inspection reports and derives actionable information through AI-driven analytics—all through a single platform.

Data Collection 84

Data Collection Visualization Data-driven Unstructured Data 84

CIO Business Intelligence

JANUARY 20, 2023

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need.

Analytics 137

Analytics Key Performance Indicator Unstructured Data IoT 137

Smart Data Collective

MARCH 16, 2020

Deep learning is likely to play an essential role in keeping costs in check. Deep Learning is Necessary to Create a Sustainable Medicare for All System. He should elaborate more on the benefits of big data and deep learning. They argued that machine learning could make healthcare much more efficient.

Deep Learning 79

Deep Learning Unstructured Data Cost-Benefit Big Data 79