Knowledge Hut

NOVEMBER 18, 2023

Companies are actively training machine learning models to search patterns from IoT devices and make forecasts in several fields like: Data quality analysis Behavioral analysis Service quality Edge computing Smart Healthcare Resource consumption Neural networks Attack detection and prediction Distributed deep learning, etc.

Machine Learning 52

Machine Learning Transportation Healthcare Medical 52

Knowledge Hut

MAY 2, 2024

From the most technologically savvy person working in leading digital platform companies like Google or Facebook to someone who is just a smartphone user, there are very few who have not been impacted by artificial intelligence or machine learning in some form or the other; through social media, smart banking, healthcare or even Uber.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

Knowledge Hut

DECEMBER 26, 2023

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JANUARY 11, 2024

Data science has become popular in the last few years due to its successful application in making business decisions. Data scientists have been using data science techniques to solve challenging real-world issues in healthcare, agriculture, manufacturing, automotive, and many more.

Data Science 98

Data Science Transportation Hospitality Banking 98

Knowledge Hut

JUNE 4, 2024

Medical Image Analysis Softengi Another advanced and revolutionizing use case of Data Science in pharmaceutical industry is Medical Image Analysis. With the help of Deep Learning techniques in Data Science, the software can be built to understand and interpret images like X-rays, MRIs, mammograms, etc.

Pharmaceutical 52

Pharmaceutical Data Science Medical Deep Learning 52

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. is highly beneficial.

Medical 52

Medical Computer Science Scala Machine Learning 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

DECEMBER 27, 2023

Some of the SQL skills to develop are as follows - Microsoft SQL Server Skills Database Management SQL Join Skills PHP Skills OLAP Skills Indexing Skills Execution Skills Technical SQL Data Analysis 3. Healthcare Software developers are highly in demand in healthcare industries in Singapore.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

Knowledge Hut

NOVEMBER 27, 2023

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. Common processes are: Collect raw data and store it on a server.

Data Science 52

Data Science Datasets Machine Learning Portfolio 52

U-Next

SEPTEMBER 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

Knowledge Hut

NOVEMBER 28, 2023

The data goes through various stages, such as cleansing, processing, warehousing, and some other processes, before the data scientists start analyzing the data they have garnered. The data analysis stage is important as the data scientists extract value and knowledge from the processed, structured data.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

ProjectPro

JANUARY 31, 2023

There are many reasons why the modern insurance sector prefers machine learning and data science : Rapidly growing data volumes- Consumer electronics with an internet connection, such as smartphones, smart TVs, and fitness trackers, are becoming increasingly popular today.

Insurance 75

Insurance Machine Learning Project Algorithm 75

ProjectPro

AUGUST 21, 2021

Nucleus Research has found that business intelligence with data visualization capabilities will offer a return on investment of $13.01 With how much expenditure is made and time spent on data collection and processing, getting the most out of data is naturally a well-in-demand skill. for every dollar spent.

Coding 52

Coding Project Datasets Machine Learning 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection. to schedule the project activities.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

phData: Data Engineering

AUGUST 11, 2023

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords these days with developments of Chat-GPT, Bard, and Bing AI, among others. The use of deep learning and machine learning in healthcare is also increasing.

Healthcare 52

Healthcare Data Engineering Data Engineer Hospitality 52

ProjectPro

JULY 10, 2021

Time Series Models Time Series Analysis in R or Python Applications of Time Series Analysis 15 Time Series Projects Ideas for Beginners to Practice in 2023 1. Sentiment Analysis from Social Media Feeds 3. Time Series-based Data Analysis for Taxi Service 4. Stock Price Prediction 2. Sports Popularity Prediction 6.

Project 40

Project Banking Datasets Python 40

ProjectPro

NOVEMBER 18, 2021

Data science has been a trending buzzword in recent times. With wide applications in various sectors like healthcare, education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there. These can help identify patients with distinct symptoms.

Data Science 52

Data Science Project Food Pharmaceutical 52

U-Next

JULY 4, 2022

Therefore the demand for data scientists and other data science professionals is increasing. Anyone who desires to pursue a data scientist career path should have deep knowledge of mathematics, statistics, deep learning, artificial intelligence, machine learning, etc. Why is Data Science Important?

Data Science 40

Data Science Data Architect Data Mining Recruitment 40

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Concepts of deep learning can be used to analyze this dataset properly.

Big Data 52

Big Data Coding Project Hadoop 52