ProjectPro

JUNE 6, 2025

After spending many years exploring the applications of this data science technique , businesses are now finally leveraging it to its maximum potential. Enterprises are using unique predictive models and algorithms that support predictive analytics tools.

Data Mining 45

Data Mining Banking Retail Healthcare 45

ProjectPro

JUNE 6, 2025

Synthetic data, unlike real data, is artificially generated and designed to mimic the properties of real-world data. This blog explores synthetic data generation, highlighting its importance for overcoming data scarcity. This fosters a culture of innovation and accelerates the development of new technologies.

Healthcare 40

Healthcare Medical Datasets Machine Learning 40

ProjectPro

JUNE 6, 2025

AI in data analytics refers to the use of AI tools and techniques to extract insights from large and complex datasets faster than traditional analytics methods. Instead of spending hours cleaning data or manually looking for trends, it uses advanced machine learning and AI algorithms to automate the process. The result?

Data Analytics 40

Data Analytics Unstructured Data BI Datasets 40

ProjectPro

JUNE 6, 2025

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. Data Scientists use ML algorithms to make predictions on the data sets.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

This technology is not confined to one industry but is used across diverse sectors such as healthcare, finance, entertainment, manufacturing, and more. Additionally, companies like PathAI utilize generative AI to improve disease diagnosis by generating high-quality medical images and data analysis in the healthcare sector.

Insurance 52

Insurance Manufacturing Medical Banking 52

ProjectPro

JUNE 6, 2025

AI algorithms have been shown to increase leads by up to 50% and reduce call times by 60%, making them irreplaceable in sales and customer service. Here is a post by Lekhana Reddy , an AI Transformation Specialist, to support the relevance of AI in Data Analytics. FAQs What is Artificial Intelligence for Data Analysis?

Data Analytics 40

Data Analytics Healthcare Algorithm Machine Learning 40

Edureka

JUNE 7, 2024

paintings, songs, code) Historical data relevant to the prediction task (e.g., paintings, songs, code) Historical data relevant to the prediction task (e.g., paintings, songs, code) Historical data relevant to the prediction task (e.g.,

Manufacturing 114

Manufacturing Media Deep Learning Algorithm 114

ProjectPro

JUNE 6, 2025

If you want to become a part of a wave that’s not only shaping the future of technology but also revolutionizing fields like entertainment, healthcare, and beyond, you’ve landed on the right page. A Generative AI Engineer is a specialized AI professional who focuses on creating and implementing generative AI models and algorithms.

Engineering 53

Engineering Entertainment Deep Learning Algorithm 53

ProjectPro

JUNE 6, 2025

Last year when Twitter and IBM announced their partnership it seemed an unlikely pairing, but the recent big data news on New York Times about this partnership took a leap forward with IBM’s Watson all set to mine Tweets for sentiments.

Big Data 40

Big Data Data Analysis NoSQL Deep Learning 40

ProjectPro

JUNE 6, 2025

Whether you're an experienced data engineer or a beginner just starting, this blog series will have something for you. We'll explore various data engineering projects, from building data pipelines and ETL processes to creating data warehouses and implementing machine learning algorithms.

Coding 40

Coding Manufacturing Data Cleanse Data Warehouse 40

ProjectPro

JUNE 6, 2025

Collaboration with the Data Science Team Big Data Developers work closely with a big data engineer and a team of data scientists to implement data analytics pipelines. They translate the data science team 's algorithms and models into practical, scalable solutions that handle large-scale data.

Big Data 40

Big Data Hadoop Scala NoSQL 40

AltexSoft

MAY 27, 2022

Healthcare facilities and insurance companies would give a lot to know the answer for each new admission. This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. The built-in algorithm learns from every case, enhancing its results over time.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

ProjectPro

JUNE 6, 2025

Feeling algorithms all around you? Industries from healthcare to retail seek professionals with these skills, offering above-average salaries and promising career growth. AI has become a game-changer, revolutionizing healthcare, finance, retail, and more industries. That's the thrilling world of a Data Scientist !

Machine Learning 40

Machine Learning Computer Science Consulting Software Engineer 40

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. Microsoft’s move tells a lot about the company’s (and the healthcare industry’s) priorities. Healthcare organizations generate a lot of text data.

Medical 52

Medical Healthcare Process Hospitality 52

Knowledge Hut

MAY 31, 2023

The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product. The privacy and security of patient data and ensuring that AI algorithms are accurate, dependable, and impartial must be overcome.

Project 96

Project Transportation Healthcare Deep Learning 96

ProjectPro

JUNE 6, 2025

In Walter Heck’s words, RAGs are a way to add context to an LLM beyond its training data. This approach is becoming increasingly popular due to its ability to make Generative AI more reliable and contextually aware, as seen in industries like finance, healthcare, and customer support.

Machine Learning 40

Machine Learning Datasets Data Science Finance 40

AltexSoft

MAY 12, 2022

In this article, we’ll share what we’ve learnt when creating an AI-based sound recognition solutions for healthcare projects. Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. Audio data file formats. Speech recognition.

Machine Learning 122

Machine Learning Building Healthcare Deep Learning 122

ProjectPro

JUNE 6, 2025

According to the US Bureau of Labor Statistics, data scientist jobs are predicted to experience significant growth of 36 percent between 2021 and 2031, while operations research analyst or data analyst jobs are projected to grow 23 percent. Uses statistical and computational methods to analyze and interpret data.

Business Analyst 40

Business Analyst Portfolio Data Mining Data Science 40

Knowledge Hut

MAY 3, 2024

Analytics - Spark can be very useful when building real-time analytics from a stream of incoming data. E-commerce - Information about the real-time transaction can be passed to streaming clustering algorithms like alternating least squares or K-means clustering algorithm.

Scala 98

Scala Hadoop Healthcare Big Data 98

ProjectPro

JUNE 6, 2025

As organizations increasingly rely on Generative AI to drive innovation and efficiency, the need for data scientists who can analyze vast amounts of information and develop intelligent algorithms has never been greater. If you enjoy building systems and working with databases, you might succeed as a Data Engineer. With over 2.5

Data Science 40

Data Science Machine Learning BI Certification 40

ProjectPro

JUNE 6, 2025

The system intelligently manages various data types within the context window, ensuring coherent relationships between them. Priority-based retrieval algorithms select the most relevant information, while techniques like sliding windows, chunking , and compression help optimize context usage for better performance.

Building 40

Building Python Bytes Pharmaceutical 40

Knowledge Hut

APRIL 26, 2024

Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. Machine learning uses algorithms that comb through data sets and continuously improve the machine learning model.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

ProjectPro

JUNE 6, 2025

As industries increasingly turn to AI to automate processes, enhance customer experiences, and make data-driven decisions, the frameworks that power these agents have become more complex and specialized. In e-commerce, it powers personalized shopping assistants; in healthcare, it helps with appointment scheduling and reminders.

Building 40

Building Finance Healthcare Medical 40

ProjectPro

JUNE 6, 2025

AI can think independently: AI models follow predefined algorithms and lack true understanding. More data always improves AI performance: Poor quality data can degrade AI models rather than enhance them. Healthcare: AI-driven diagnostics (e.g., Finance: Fraud detection and algorithmic trading. Amazon, Netflix).

Deep Learning 71

Deep Learning Machine Learning Algorithm Medical 71

Knowledge Hut

JANUARY 18, 2024

The opportunities are endless in this field — you can get a job as an operation analyst, quantitative analyst, IT systems analyst, healthcare data analyst, data analyst consultant, and many more. A Python with Data Science course is a great career investment and will pay off great rewards in the future. Choose data sets.

Data Science 98

Data Science Data Architect Business Analyst ETL Method 98

ProjectPro

JUNE 6, 2025

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

ProjectPro

JUNE 6, 2025

Topic Classification Datasets Topic Classification trains the computer with algorithms to sort and organize textual data into neat categories or labels, which can be helpful when you have a large amount of data and need to classify and label it, as it helps in data analysis. Where can I find data for NLP?

Datasets 40

Datasets Process Project Medical 40

ProjectPro

JUNE 6, 2025

FAQs on Machine Learning Projects for Resume Machine Learning Projects for Resume - A Must-Have to Get Hired in 2023 Machine Learning and Data Science have been on the rise in the latter part of the last decade. Quite similar to classification is clustering but with the minor difference of working with unlabelled data.

Machine Learning 52

Machine Learning Coding Project Deep Learning 52

ProjectPro

JUNE 6, 2025

The Algorithmic Breakthrough Collaborating with Data Scientists , Arghya designed a ranked list of 100 individuals using the Markov Decision Process—a stateless algorithm. A groundbreaking “propensity-to-pay” algorithm that promised to revolutionize collections. The result?

Banking 52

Banking Finance Datasets Algorithm 52

ProjectPro

JUNE 6, 2025

At its core, AIOps aims to automate and optimize IT operations by leveraging AI techniques to analyze and interpret vast amounts of data generated by various IT systems and applications. However, with AIOps, the platform can leverage machine learning algorithms to predict traffic patterns based on historical data.

Algorithm 40

Algorithm Machine Learning Big Data Utilities 40

ProjectPro

JUNE 6, 2025

For example, by analyzing data on weather patterns, insurers can better assess the risks of natural disasters and adjust premiums accordingly. And by using machine learning algorithms , they can quickly detect and prevent fraudulent claims, saving millions in losses.

Insurance 40

Insurance Data Science Machine Learning Algorithm 40

ProjectPro

JUNE 6, 2025

FAQs List of Best Projects on Generative AI Generative AI, or Gen AI, is a revolutionary technology that enables computer systems to produce content, images, and even entire narratives autonomously with the help of advanced deep learning and machine learning algorithms. Source Code: How to Build a Knowledge Graph for RAG Applications?

Project 45

Project Medical Healthcare Deep Learning 45

ProjectPro

JUNE 6, 2025

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. With clients like Walmart , Pfizer, Microsoft and Dell, Mu Sigma is thriving towards building the greatest big data analytics ecosystem of the future.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

Knowledge Hut

DECEMBER 26, 2023

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. This is one of the major reasons behind the popularity of data science.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

Knowledge Hut

MAY 23, 2024

Comparison Between Full Stack Developer vs Data Scientist Let’s compare Full stack vs data science to understand which is better, data science or full stack developer. Specifications Full stack developer Data scientist Term It is the creation of websites for the intranet, which is a public platform.

Java 98

Java Computer Science Data Science Certification 98

Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98