AltexSoft

DECEMBER 15, 2021

On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Edureka

JANUARY 23, 2023

Data mining is analysing large volumes of data available in the company’s storage systems or outside to find patterns to help them improve their business. The process uses powerful computers and algorithms to execute statistical analysis of data. They fine-tune the algorithm at this stage to get the best results.

Data Mining 52

Data Mining Banking Retail Medical 52

Edureka

JUNE 12, 2024

It supports various algorithms, such as supervised, unsupervised, and reinforcement learning, allowing users to create predictive models for tasks such as classification, regression, and clustering. Now, let’s walk through a typical workflow: You start by collecting data from various sources and storing it in Azure.

Machine Learning 52

Machine Learning Deep Learning Healthcare Finance 52

Knowledge Hut

JUNE 16, 2023

Simply put, no matter whether it is predicting stock prices, analyzing medical images, or helping self-driving cars navigate complex environments, deep learning is rapidly transforming the way we interact with technology. Theano Theano, a deep-learning framework developed by the Montreal Institute for Learning Algorithms.

Deep Learning 52

Deep Learning BI Machine Learning Data Science 52

Knowledge Hut

DECEMBER 7, 2023

AI has a plethora of uses, including chatbots, recommendation engines, autonomous cars, and even medical diagnosis. Data Preprocessing: Prepare and clean the data. This may include handling missing values, outliers, and transforming the data into a format suitable for AI algorithms.

Machine Learning 52

Machine Learning Algorithm Medical Government 52

U-Next

SEPTEMBER 22, 2022

Increasing numbers of businesses are using predictive analytics techniques for everything from fraud detection to medical diagnosis by 2022, resulting in nearly 11 billion dollars in annual revenue. . Understanding The Types Of Predictive Modeling Algorithms . What Are Predictive Models? . Types Of Predictive Models .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

ProjectPro

FEBRUARY 5, 2021

Image classification , a subfield of computer vision helps in processing and classifying objects based on trained algorithms. This helps our Algorithm/ Neural Network to learn which image stands for which number (0-9) and to learn hidden patterns in human writing. In particular, the data has 8 different classes of cancerous tissue.

Datasets 40

Datasets Deep Learning Medical Algorithm 40

Striim

JULY 10, 2023

Well, it is something to do with continuous, real-time, simultaneous homogenisation of petabytes of data, from numerous sources that are then modeled to drive automated reactions at the right (Real) time due to clever algorithms. Sure, AI teaches itself from legacy and new data oceans. Or it’s pretty much that.

Machine Learning 40

Machine Learning Medical Algorithm Data Lake 40

ProjectPro

JANUARY 31, 2023

Overfitting occurs when an ML model yields accurate results for training examples but not for unseen data. It can be prevented in many ways, for instance, by choosing another algorithm, optimizing the hyperparameters, and changing the model architecture. Let us explore that!

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

ProjectPro

JUNE 2, 2015

May 26, Wall Street Journal: “Big Data Brings Relief to Allergy Medicine Supply Chains” Bayer AG a manufacturer of the allergy drug Claritin is using big data to get ahead of the seasonal trends. May 6, UK IT News V3.co.uk times better than those with ad-hoc or decentralized teams.

Big Data 40

Big Data Hadoop Banking Data Analytics 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

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

AI image generators are trained on an extensive amount of data, which comprises large datasets of images. Through the training process, the algorithms learn different aspects and characteristics of the images within the datasets. It is the only variable that the algorithm actually changes through the process.

Medical 64

Medical Datasets Algorithm Entertainment 64