Edureka

JULY 16, 2024

Artificial intelligence or machine learning (ML) can now be classified as a fundamental innovation in today’s growing technological world. It helps organizations gain valuable data insights in decision-making, explicitly improving customer experience. Machine Learning in AWS SageMaker How Does Amazon SageMaker Work?

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

Cloudera

OCTOBER 17, 2017

In this blog, we provide a few examples that show how organizations put deep learning to work. Next, we introduce you to Cloudera’s unified platform for data and machine learning and show you four ways to implement deep learning. Learn more about how to make deep learning work for your organization.

Deep Learning 47

Deep Learning Scala Medical Data Science 47

Edureka

JUNE 12, 2024

Azure’s AI services enable a wide range of AI capabilities, from machine learning and deep learning to natural language processing and computer vision. Azure provides a powerful platform for building intelligent applications using advanced analytics, machine learning, and artificial intelligence.

Machine Learning 52

Machine Learning Deep Learning Healthcare Finance 52

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake Machine Learning BI 64

Knowledge Hut

JUNE 16, 2023

Since businesses and organizations realize the potential of deep learning, it is crucial to have a solid grasp on the top deep learning tools that make it possible. And hence, it has become significant to master some of the major deep learning tools to work with this concept better. What Is Deep Learning? TensorFlow.js

Deep Learning 52

Deep Learning BI Machine Learning Data Science 52

Knowledge Hut

NOVEMBER 3, 2023

Data Visualization It provides a wide range of networks, diagrams, and maps. Boasts an extensive library of customizable visuals for diverse data representation. Augmented Analytics Incorporates machine learning and AI for automated data preparation, insights, and suggestions. How Are They Similar?

BI 52

BI Cloud Retail Medical 52

Knowledge Hut

DECEMBER 7, 2023

AI has a plethora of uses, including chatbots, recommendation engines, autonomous cars, and even medical diagnosis. Data Preparation Tools: Tools like Pandas and NumPy are essential for data preprocessing. They provide functions for cleaning, transforming, and analyzing data. Does AI Lifecycle Management Matter?

Machine Learning 52

Machine Learning Algorithm Medical Government 52

Edureka

JANUARY 23, 2023

The use of data by companies to understand business patterns and predict future occurrences has been on the rise. With the availability of new technologies like machine learning, it has become easy for experts to analyse vast quantities of information to find patterns that will help establishments make better decisions.

Data Mining 52

Data Mining Banking Retail Medical 52

ProjectPro

JANUARY 31, 2023

Data scientists and machine learning engineers often come across this scenario where the data for their project is not sufficient for training a machine learning model, often resulting in poor performance. Given enough training data, machine learning models can smoothly solve challenging problems.

Deep Learning 52

Deep Learning Machine Learning Datasets Data 52

ProjectPro

JANUARY 19, 2022

Companies collect large amounts of data, making automation vital for working with such big data. Data engineers should be able to automate repetitive operations using scripts. Data engineers don't just work with conventional data; and they're often entrusted with handling large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

AltexSoft

MAY 14, 2021

Data can be incomplete, inconsistent, or noizy, decreasing the accuracy of the analytics process. Due to this, data veracity is commonly classified as good, bad, and undefined. That’s quite a help when dealing with diverse data sets such as medical records, in which any inconsistencies or ambiguities may have harmful effects.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Striim

JULY 10, 2023

By LLM we of course mean Large Language Models, you know, where you get a human like response to a human like question from a machine. A world where the machines learn (ML) and get smarter at making predictions that help us. Sure, AI teaches itself from legacy and new data oceans.

Machine Learning 40

Machine Learning Medical Algorithm Data Lake 40

ProjectPro

FEBRUARY 5, 2021

Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. In particular, the data has 8 different classes of cancerous tissue. Table of Contents What is the MNIST dataset?

Datasets 40

Datasets Deep Learning Medical Algorithm 40

U-Next

SEPTEMBER 22, 2022

Machine Learning and business intelligence are used in predictive analytics, also known as advanced analytics. . Data from the past is commonly used in predictive analytics models and variables. Based on the common attributes of the data, this model nests them together. What Are Predictive Models? . Clustering Model .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. Computer vision is a subset of artificial intelligence that focuses on processing and understanding visual data.

Medical 72

Medical Healthcare Datasets Machine Learning 72

U-Next

SEPTEMBER 23, 2022

Patients can be given evidence-based treatment that has been identified and prescribed after reviewing previous medical data. In the healthcare industry, wearable gadgets and sensors have been launched that can transmit real-time data to a patient’s electronic health record. Apple is one such technology.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

Knowledge Hut

OCTOBER 27, 2023

Microsoft created Power BI, a business analytics tool that enables users to visualize and analyze data from various sources quickly and interactively. It provides a wide range of features and functionalities, including data preparation, data modeling, data visualization, and collaboration tools.

BI 52

BI Project Datasets Healthcare 52

AltexSoft

JULY 10, 2023

Generative Adversarial Networks (GANs) Generative Adversarial Networks , commonly called GANs , are a class of machine learning algorithms that harness the power of two competing neural networks – the generator and the discriminator. They can also address privacy issues concerning data sharing between medical institutions.

Medical 64

Medical Datasets Algorithm Entertainment 64