IBM Big Data Hub

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

Deep Learning 56

Deep Learning Machine Learning Unstructured Data Modeling 56

Analytics Vidhya

NOVEMBER 6, 2020

Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry-Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 264

Data Science Machine Learning Analytics IT 264

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

Smart Data Collective

AUGUST 28, 2021

Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources. On the other hand, data lakes are flexible storages used to store unstructured, semi-structured, or structured raw data.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

CIO Business Intelligence

FEBRUARY 6, 2025

From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless. Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. Even basic predictive modeling can be done with lightweight machine learning in Python or R.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

SEPTEMBER 12, 2024

Unlike structured data, which fits neatly into databases and tables, etc. By analyzing unstructured data, enterprises can uncover trends, detect anomalies, and make more informed and nuanced decisions to gain a competitive edge.

Unstructured Data 112

Unstructured Data Deep Learning Metadata Structured Data 112

Smart Data Collective

JULY 1, 2023

Image annotation is the act of labeling images for AI and machine learning models. The resulting structured data is then used to train a machine learning algorithm. There are a lot of image annotation techniques that can make the process more efficient with deep learning.

Machine Learning 93

Machine Learning Metrics Uncertainty Deep Learning 93

Analytics Vidhya

FEBRUARY 2, 2024

Introduction In the era of big data, organizations are inundated with vast amounts of unstructured textual data. The sheer volume and diversity of information present a significant challenge in extracting insights.

Unstructured Data 305

Unstructured Data Big Data Analytics Structured Data 305

Analytics Vidhya

DECEMBER 21, 2023

Introduction The Pandas Library is a powerful tool in the data analysis ecosystem; it provides a wide range of functions that transform raw data into insightful revelations.

Analytics 306

Analytics IT Deep Learning Structured Data 306

Analytics Vidhya

AUGUST 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon In the last few articles, we discussed Neural Networks, their work. The post Easy Hyperparameter Tuning in Neural Networks using Keras Tuner appeared first on Analytics Vidhya.

Data Science 271

Data Science Publishing Analytics Deep Learning 271

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. Here we briefly describe some of the challenges that data poses to AI.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

IBM Big Data Hub

JANUARY 10, 2024

AI operates on three fundamental components: data, algorithms and computing power. Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models.

Unstructured Data 75

Unstructured Data Deep Learning Cost-Benefit Machine Learning 75

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

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 53

Data mining Machine Learning Deep Learning Marketing 53

CDW Research Hub

JULY 31, 2019

Recent advances in machine learning, and more specifically its subset, deep learning, have made it possible for computers to better understand natural language. Natural Language Understanding (NLU) is a subset of NLP that turns natural language into structured data. NLU is able to do two things?—?intent

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

Analytics Vidhya

JUNE 24, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon “Time flies over us, but leave its shadow behind” a beautiful. The post Deep Dive into Time Series Data with Single Neuron appeared first on Analytics Vidhya.

Data Science 162

Data Science Publishing Analytics IT 162

Analytics Vidhya

MAY 24, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon What is Transfer Learning? The post Transfer Learning using MNIST appeared first on Analytics Vidhya. One of the most powerful tools in.

Data Science 162

Data Science Publishing Analytics Deep Learning 162

Ontotext

FEBRUARY 26, 2024

RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Using machine learning, RED indicates the impact of events on stock prices. It compares actual price changes to expected changes based on historical data.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

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 94

Deep Learning Unstructured Data Cost-Benefit Big Data 94

IBM Big Data Hub

AUGUST 15, 2023

Diving deeper, the potential of AI systems is also challenging us to go beyond these tools and think bigger: How will the application of AI and machine learning models advance big-picture, strategic business goals? But while this groundbreaking AI technology has been the focus of media attention, it only tells part of the story.

IT 74

IT Data Governance Modeling Cost-Benefit 74