ProjectPro

JUNE 6, 2025

Therefore, data engineers must gain a solid understanding of these Big Data tools. Machine Learning Machine learning helps speed up the processing of humongous data by identifying trends and patterns. It is possible to classify raw data using machine learning algorithms , identify trends, and turn data into insights.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Ready to ride the data wave from “ big data ” to “big data developer”? This blog is your ultimate gateway to transforming yourself into a skilled and successful Big Data Developer, where your analytical skills will refine raw data into strategic gems.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

Managing an end-to-end ML project isn't just about building models; it involves navigating through multiple stages, such as identifying the right problem, sourcing and cleaning data, developing a reliable model, and deploying it effectively. Data collection is about gathering the raw data needed to train and evaluate the model.

Machine Learning 40

Machine Learning Project Building Raw Data 40

ProjectPro

JUNE 6, 2025

Consider a healthcare organization developing an AI-powered diagnostic tool using Amazon Comprehend Medical. SageMaker also provides a collection of built-in algorithms, simplifying the model development process. Business Analysts often use it to automate data entry, reduce manual processing time, and enhance data accuracy.

Machine Learning 40

Machine Learning AWS Amazon Web Services Deep Learning 40

DareData

JULY 29, 2020

We have heard news of machine learning systems outperforming seasoned physicians on diagnosis accuracy, chatbots that present recommendations depending on your symptoms , or algorithms that can identify body parts from transversal image slices , just to name a few. The healthcare infrastructure is expensive, silo-based, and hard to replace.

Data Pipeline 52

Data Pipeline Healthcare Pipeline-centric Medical 52

ProjectPro

JUNE 6, 2025

Key skills include: Data Preprocessing: Cleaning , transforming, and structuring raw data to ensure optimal model performance and accuracy. Example: A healthcare AI retains patient's medical history, facilitating personalized treatment suggestions across visits. How can Agentic AI advance the healthcare industry?

Medical 64

Medical Healthcare Deep Learning Hospitality 64

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. Below we’ll give most popular use cases.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

ProjectPro

JUNE 6, 2025

5 Steps Of Machine Learning Process How To Use Machine Learning Algorithms? Whilst I'm no mathematician or a statistician, I can tell you that machine learning takes common methods and metrics from statistics and mathematics and applies that on data to build models. And we call this set of data, the training data.

Machine Learning 40

Machine Learning Process Entertainment Algorithm 40

Knowledge Hut

NOVEMBER 27, 2023

How would one know what to sell and to which customers, based on data? This is where Data Science comes into the picture. Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. For some, it does not matter what the data is about.

Data Science 97

Data Science Healthcare Telecommunication Machine Learning 97

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

ProjectPro

JUNE 6, 2025

Creating Many-to-One LSTM : This project highlights how defining a clear purpose (sequence analysis for single output prediction) and using many-to-one LSTM architectures can effectively handle time-series or sequential data tasks. Develop the Core Algorithm Coding the logic of your AI agent is one of the most critical steps.

Building 59

Building Algorithm Machine Learning Datasets 59

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

Gatys’ paper, “A Neural Algorithm of Artistic Style,” neural style transfer has taken the world by storm and has caught the attention of many. This project is a must if you are looking for small tensorflow healthcare projects. Neural Style Transfer using TensorFlow Initially introduced in Leon A. Million by 2025.

Project 45

Project Deep Learning Datasets Machine Learning 45

Precisely

FEBRUARY 25, 2025

Key Takeaways Enrich your raw data with context to unlock its full potential and enable smarter, data-driven decision-making. Combine data enrichment and AI for more accurate predictions, personalized insights, and proactive strategies. And yet, 67% admit they dont completely trust their data. Why is that?

Raw Data 52

Raw Data Insurance Telecommunication Datasets 52

ProjectPro

JUNE 6, 2025

Below are the annual average salaries for a few other data analyst titles in the US according to platforms like Indeed, talent, Glassdoor, etc. You must be wondering- Who are data analysts? A data analyst gathers, organizes, and analyzes data statistically. What do they do?

Consulting 40

Consulting Healthcare Programming Language BI 40

ProjectPro

JUNE 6, 2025

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? No, that is not the only job in the data world. by ingesting raw data into a cloud storage solution like AWS S3. Use the ESPNcricinfo Ball-by-Ball Dataset to process match data.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

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

These streams basically consist of algorithms that seek to make either predictions or classifications by creating expert systems that are based on the input data. Even Email spam filters that we enable or use in our mailboxes are examples of weak AI where an algorithm is used to classify spam emails and move them to other folders.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

JANUARY 18, 2024

For more information, check out the best Data Science certification. A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data. A Python with Data Science course is a great career investment and will pay off great rewards in the future.

Data Science 98

Data Science Data Architect Business Analyst ETL Method 98

ProjectPro

JUNE 6, 2025

Imagine you are a data engineer helping a dynamic e-commerce platform to process millions of customer interactions, build efficient ML models, and deploy them seamlessly to enhance user experience. Enter Apache Airflow Machine Learning Pipeline– the one-stop solution simplifying your journey from raw data to game-changing insights.

Machine Learning 40

Machine Learning Building Retail Data Ingestion 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 Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JUNE 6, 2025

Source Code: Check out some exciting text summarization LLM projects on GitHub, such as the ‘ News Article Text Summarizer ’ that involves extractive and abstractive text summarization of news articles using the T5 (Text-To-Text Transfer Transformer) model and text ranking algorithms.

Project 49

Project Medical Hospitality Healthcare 49

ProjectPro

JUNE 6, 2025

In financial markets, stream processing powers algorithmic trading systems that need to react to market changes in milliseconds. Batch processing works well when analyzing historical data for insights or trends.

Process 40

Process Kafka Hadoop Banking 40

Knowledge Hut

MAY 30, 2024

Evolutionary Algorithms and their Applications 9. Big Data Analytics in the Industrial Internet of Things 4. Machine Learning Algorithms 5. Data Mining 12. During the research, you will work on and study Algorithm: Machine learning includes many algorithms, from decision trees to neural networks. Robotics 1.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

Edureka

MARCH 26, 2025

In resistance training, the algorithm is used to forecast the most likely value of each missing value in all samples. Use Cases Data imputation methods can be used in many fields to fix problems caused by lost data. If you want to learn more about data science and AI, getting good at these methods can improve your abilities.

Medical 40

Medical Datasets Data Analysis Machine Learning 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

Knowledge Hut

OCTOBER 27, 2023

The specific graphical techniques used in EDA tasks are quite simple, for example: Plotting raw data to gain relevant insight. Simple statistics, such as mean and standard deviation plots, are plotted on raw data. For better results, concentrate the analysis on specific sections of the data.

Data Science 96

Data Science Coding Project Datasets 96

ProjectPro

JUNE 6, 2025

Are you looking for data warehouse interview questions and answers to prepare for your upcoming interviews? This guide lists top interview questions on the data warehouse to help you ace your next job interview. The data warehousing market was worth $21.18 What do you mean by data mining? million by 2028. What is VLDB?

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40

ProjectPro

JUNE 6, 2025

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Big data enables businesses to gain a deeper understanding of their industry and helps them extract valuable information from the unstructured and raw data that is regularly collected.

Big Data 40

Big Data Hadoop Relational Database AWS 40

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: Acquire the skills necessary to assess models developed from data. Apply the algorithms to a real-world situation, optimize the models learned, and report on the predicted accuracy that can be reached using the models. Analyze voluminous text data created by a variety of practical applications.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JUNE 6, 2025

While platforms like Yahoo Finance provide access to raw data, the real challenge is translating that information into actionable insights. Manually pulling data, performing calculations, and understanding what it all means takes time, effort, and often a fair bit of financial know-how.

Project 45

Project Building Media Medical 45

AltexSoft

NOVEMBER 17, 2021

For instance, the healthcare industry still deals with paper documents. But some healthcare organizations like FDA implement various document classification techniques to process tons of medical archives daily. An example of document structure in healthcare insurance. Source: affine.ai. Document and text digitization with OCR.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

ProjectPro

JUNE 6, 2025

Generates faster insights - This Power BI feature provides the user a new and simple way to search for insights in the business data. By using complex algorithms, a user can glean exciting insights from various subsets of a data set. Excels stores data points in each cell in its most basic format.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

Knowledge Hut

JULY 28, 2023

Parameters Machine Learning (ML) Deep Learning (DL) Feature Engineering ML algorithms rely on explicit feature extraction and engineering, where human experts define relevant features for the model. DL models automatically learn features from raw data, eliminating the need for explicit feature engineering.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

ProjectPro

JUNE 6, 2025

It provides the first purpose-built Adaptive Data Preparation Solution(launched in 2013) for data scientist, IT teams, data curators, developers, and business analysts -to integrate, cleanse and enrich raw data into meaningful analytic ready big data that can power operational, predictive , ad-hoc and packaged analytics.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

RandomTrees

DECEMBER 20, 2023

As a result, healthcare professionals use edge devices that implement AI. The training process gets improved by uploading a relevant subset of raw data when uploaded to the cloud. A federated learning system updates AI training locally on the edge device. Improved edge AI arrangement could also be a significant change.

IT 52

IT Hospitality Healthcare Deep Learning 52