Knowledge Hut

NOVEMBER 2, 2023

Among various such implementations, two of the most prominent subsets that have garnered enough attention are Generative AI and Machine Learning. Both Generative AI and Machine Learning share the common goal of enabling machines to learn and make predictions.

Machine Learning 52

Machine Learning Deep Learning Utilities Medical 52

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. 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. In truth, ML involves an enormous amount of repetitive manual operations, all hidden behind the scenes.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Knowledge Hut

NOVEMBER 27, 2023

Understanding what defines data in the modern world is the first step toward the Data Science self-learning path. There is a much broader spectrum of things out there which can be classified as data. You should also think about what kind of Data is interesting for you.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. It is because these apps render machine learning models that try to understand the customer's taste. can help you model such machine learning projects.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

OCTOBER 27, 2021

Wondering how to implement machine learning in finance effectively and gain valuable insights? This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions.

Finance 52

Finance Machine Learning Project Banking 52

Edureka

MARCH 15, 2025

To anticipate maintenance requirements, manufacturers can use SLMs as tools that collect data from sensors mounted in machinery and equipment and analyze that data in real-time. This is due to the fact that they are not sufficiently refined and that they are trained using publicly available, publicly published raw data.

Entertainment 74

Entertainment Retail Education Datasets 74

DareData

JULY 29, 2020

The Challenges of Medical Data In recent times, there have been several developments in applications of machine learning to the medical industry. The incentives of the medical practitioners are sometimes misaligned with the incentives of the patients/clients.

Data Pipeline 52

Data Pipeline Healthcare Medical Pipeline-centric 52

Monte Carlo

OCTOBER 5, 2023

Enter the world of data clean rooms – the super secure havens where you can mix and mingle data from different sources to get insights without getting your hands dirty with the raw data. How data clean rooms work Data clean rooms combine and analyze different data sources without directly accessing the raw data.

Raw Data 52

Raw Data Medical Manufacturing AWS 52

ProjectPro

AUGUST 16, 2021

Sending out the exact old traditional style data science or machine learning resume might not be doing any favours in your machine learning job search. With cut-throat competition in the industry for high-paying machine learning jobs, a boring cookie-cutter resume might not just be enough.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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

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 BI Machine Learning 64

Towards Data Science

OCTOBER 15, 2024

A quick recap of part i The evolution of a data pipeline In part I , we watched SmartGym grow into (version 2.1), an integrated health and fitness platform that streams , processes , and saves data from a range of gym equipment sensors and medical devices. With only one data source, consistency is implied.

Architecture 75

Architecture Data Database Systems 75

ProjectPro

FEBRUARY 8, 2016

The main techniques used here are data mining and data aggregation. Descriptive analytics involves using descriptive statistics such as arithmetic operations on existing data. These operations make raw data understandable to investors, shareholders, and managers.

Data Mining 56

Data Mining Big Data Medical Data Analytics 56

RandomTrees

DECEMBER 20, 2023

Next GEN Edge AI , also known as Edge Intelligence or next gen ai , combines Edge Computing and Artificial Intelligence to track and execute machine learning. AI workflows at the edge use data originating from centralized data centers (cloud, devices) and data originating from human sources (edge).

IT 52

IT Hospitality Healthcare Deep Learning 52

Edureka

MARCH 15, 2025

To anticipate maintenance requirements, manufacturers can use SLMs as tools that collect data from sensors mounted in machinery and equipment and analyze that data in real-time. This is due to the fact that they are not sufficiently refined and that they are trained using publicly available, publicly published raw data.

Entertainment 40

Entertainment Retail Education Datasets 40

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

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

U-Next

MARCH 14, 2023

Introduction Explainable Artificial Intelligence (XAI) is a set of procedures and strategies that enables the output and consequences of Machine Learning algorithms to be understood and trusted by people. It can be a part of investigating problems with the model or the raw data used to train it. When to Use What?

Machine Learning 40

Machine Learning Algorithm Datasets Utilities 40

U-Next

AUGUST 18, 2022

Data Scientist is a highly dynamic job and requires a person to be well-versed in AI, business intelligence, Machine Learning earning, etc. Learn more about it here. What Does a Data Scientist Do? You could receive ten different responses if you consult ten distinct Data Scientists with the same question.

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 40

ProjectPro

JULY 26, 2021

Developed by the Google Brain Team, TensorFlow is an open-source platform that helps machine learning engineers and data scientists build models and deploy applications easily. Deep Learning in Medical Imaging using TensorFlow 5. Now that we have emphasized (although perhaps not strongly enough!)

Project 40

Project Deep Learning Medical Datasets 40

U-Next

SEPTEMBER 23, 2022

It offers data that makes it easier to comprehend how the company is doing on a global scale. Additionally, it is crucial to present the various stakeholders with the current raw data. Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Diagnostic Analytics.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

Edureka

APRIL 17, 2023

What is the Role of Data Analytics? Data analytics is used to make sense of data and provide valuable insights to help organizations make better decisions. Data analytics aims to turn raw data into meaningful insights that can be used to solve complex problems.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

APRIL 23, 2024

Big Data Use Cases in Industries You can go through this section and explore big data applications across multiple industries. Clinical Decision Support: By analyzing vast amounts of patient data and offering in-the-moment insights and suggestions, use cases for big data in healthcare helps workers make well-informed judgments.

Big Data 52

Big Data Recruitment Retail Transportation 52

ProjectPro

NOVEMBER 14, 2015

It sits within the Apache Hadoop umbrella of solutions and facilitates the fast development of end-to-end Big Data applications. It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Edureka

MARCH 26, 2025

Neural networks are a type of machine-learning model inspired by the human brain. They consist of interconnected layers of nodes (neurons) that process and learn from data by adjusting weights through training. Multiple levels: Raw data is accepted by the input layer. What are neural networks?

Raw Data 40

Raw Data Architecture Deep Learning Finance 40

ProjectPro

FEBRUARY 19, 2021

Regression analysis is the favorite of data science and machine learning practitioners as it provides a great level of flexibility and reliability making it an ideal choice for analyzing different situations like - Do educational degrees and IQ affect salary? Is consuming caffeine and smoking-related to mortality risk?

Machine Learning 40

Machine Learning Algorithm Datasets Data Science 40

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. Ingestion .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

AltexSoft

OCTOBER 22, 2021

In this post, we’ll explain what deep learning is, how it works, how it’s different from traditional machine learning, and what areas it can be applied within. Get ready because you’re about to go deep into deep learning. What is deep learning? Artificial intelligence vs machine learning vs deep learning.

Deep Learning 52

Deep Learning Algorithm Machine Learning Raw Data 52

ProjectPro

JANUARY 17, 2022

Classification is a prevalent supervised task of machine learning. The algorithms are designed to classify the given data points into n number of different classes based on patterns observed within the data. How to Solve a Multi-Class Classification Problem on an Imbalanced Dataset?

Python 52

Python Algorithm Machine Learning Datasets 52

Knowledge Hut

OCTOBER 27, 2023

Weather Tracker The weather tracker project involves visualizing historical weather data to provide insights into temperature trends, precipitation, and weather conditions. Weather data is abundant, and it offers unique variations and patterns. Grab info from a website using good APIs. Look for patterns in temperature.

BI 52

BI Project Datasets Healthcare 52

U-Next

SEPTEMBER 29, 2022

Automation: Iterative tasks, such as creating, testing, and revising things, are automated with Machine Learning. In other words, it includes everything from the very first raw material to the development of the Machine Learning model that will be used. Data Wrangling.

Medical 40

Medical Machine Learning Manufacturing Raw Data 40

Edureka

APRIL 1, 2025

Data augmentation is critical for boosting the performance of machine learning models, particularly deep learning models. The quality, amount, and importance of training data are important for how well these models perform. One of the main problems with using machine learning in real life is not having enough data.

Datasets 40

Datasets Machine Learning Deep Learning Data 40