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?

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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

Yet, as the domains expands, this is accompanied by complex ethical considerations in data science that demand prompt attention.The importance of ethical considerations in data science must be emphasized in this era of data-driven decision-making, where algorithms shape our reality.

Data Science 40

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ProjectPro

JUNE 6, 2025

Table of Contents Data Science Roles - The Growing Demand Data Science Roles - Top 4 Reasons to Choose Choosing data science as a career serves several benefits: Top 15 Highest Paying Data Science Roles How to Land a Job in Data Science Without having a Degree? Interested in Data Science Roles ?

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Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

Clustering is a highly popular unsupervised machine learning algorithm that splits your data into "clusters" after processing it. K-Means is a popular clustering algorithm that makes clustering incredibly simple. It analyses a word's usage frequency in the text to gather relevant data and its relationships to surrounding words.

Machine Learning 40

Machine Learning Project Finance Algorithm 40

ProjectPro

JUNE 6, 2025

The data is present in the form of text and needs to be pre-processed and you can use the NLTK Python library for this data preparation process. Then, you can build a clustering algorithm that groups closely related words and skills that a candidate should possess in each domain. This way, the user gets the best possible deal.

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ProjectPro

JUNE 6, 2025

Let's dive into the world of data augmentation, which addresses this challenge by artificially increasing the size of the training data by applying transformations to the existing data, With a humongous amount of data generated every second, collecting qualitative and relevant data to train machines has become tedious.

Deep Learning 49

Deep Learning Machine Learning Datasets Data 49

ProjectPro

JUNE 6, 2025

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 40

Big Data Data Engineering Data Engineer Engineering 40

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.

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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

Snowflake

OCTOBER 2, 2024

Today, generative AI-powered tools and algorithms are being used for diagnostics, predicting disease outbreaks and targeted treatment plans — and the industry is just getting started. Sales summaries: AI can generate concise and personalized precall summaries for sales reps as they engage with healthcare professionals.

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ProjectPro

JUNE 6, 2025

Example: A healthcare AI retains patient's medical history, facilitating personalized treatment suggestions across visits. Knowledge Graphs structures interconnected data for more accurate and efficient knowledge retrieval. Together, IoT and Agentic AI create cyber-physical systems where decisions are faster, smarter, and data-driven.

Medical 64

Medical Healthcare Deep Learning Hospitality 64

ProjectPro

JUNE 6, 2025

2) Cryptocurrency Analysis AI-powered agents are transforming cryptocurrency analysis by automating data collection, trend detection, and market predictions. AI agents streamline this process by leveraging large language models (LLMs) to analyze vast amounts of data quickly, providing traders and investors with actionable insights.

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ProjectPro

JUNE 6, 2025

Here are some examples where a predictive analytics algorithm is used: Credit Scoring: Predictive modeling is widely used in the banking industry to assess credit risk and determine the likelihood of loan default. Choose a suitable machine learning algorithm that can predict future values of credit risk and deliver accurate results.

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Project Portfolio Medical Algorithm 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

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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 transformation basics to know.

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Machine Learning Building Deep Learning Healthcare 122

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.

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ProjectPro

JUNE 6, 2025

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. Organize and gather data from various sources following business needs.

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Data Engineering Data Engineer Engineering ETL Tools 59

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.

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Project Transportation Healthcare Deep Learning 96

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

Edureka

MARCH 26, 2025

DeepBrain AI is driven by powerful machine learning algorithms and natural language processing. Data Collection and Preprocessing: DeepBrain AI begins by putting together big sets of data that include speech patterns, text, and other useful information. This is where DeepBrain AI comes in. So, how does this work?

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Education Media Deep Learning Entertainment 45

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.

Machine Learning 40

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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 Datasets BI 40

Knowledge Hut

OCTOBER 27, 2023

Patient Tracker Application System The Patient Tracker Application System provides a user-friendly interface for healthcare professionals to manage their patient data effectively. Developing sophisticated machine learning algorithms and secure software systems have the prospect to revolutionize the healthcare industry.

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ProjectPro

JUNE 6, 2025

From data quality issues to algorithm selection and model interpretation, machine learning engineers must navigate numerous challenges in deploying and monitoring machine learning systems to successfully deploy a machine learning model in production. Implementing machine learning projects has its own challenges.

Machine Learning 40

Machine Learning Algorithm Datasets Medical 40

Knowledge Hut

JANUARY 18, 2024

These professionals are capable of handling feature engineering, getting the data, and model building. They also ensure the efficient application of the model for making relevant predictions using the data collected through various methods. Know more about data science in healthcare.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

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

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

ProjectPro

JUNE 6, 2025

With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer. This explains why the insurance sector is acquiring an increasing amount of data.

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Insurance Machine Learning Project Algorithm 45

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

ProjectPro

JUNE 6, 2025

Employers are now focusing on RAG skills and looking for candidates proficient in retrieving and integrating relevant data into generative workflows, especially in the e-commerce, healthcare, and finance sectors. What are the potential risks of relying on RAG for high-stake applications like healthcare or legal advice?

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Healthcare Finance Medical Datasets 40

ProjectPro

JUNE 6, 2025

Generative AI Algorithms like GANs, Variational Autoencoders (VAEs), and LSTMs enable realistic content generation. GANs generate realistic images through adversarial training, VAEs ensure structured image generation, and LSTMs excel in sequential data tasks like text and music composition. What is GenAI vs ChatGPT?

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Building Banking SQL Deep Learning 52

AltexSoft

JUNE 14, 2021

Insurers use data collected from smart devices to notify customers about harmful activities and lifestyles. On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. Invest in data infrastructure.

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Insurance Medical Machine Learning Data Collection 88

Knowledge Hut

JUNE 3, 2024

Data Science is the fastest emerging field in the world. It analyzes data extraction, preparation, visualization, and maintenance. Data scientists use machine learning and algorithms to bring forth probable future occurrences. Data Science in the future will be the largest field of study. What is Data Science?

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Programming Language Entertainment Data Science Banking 96

ProjectPro

JUNE 6, 2025

Master Data Engineering at your Own Pace with Project-Based Online Data Engineering Course ! Data Scientist vs. Machine Learning Engineer Jobs and Growth Trends From an industry or employment perspective, Data Science is already taking a leap in all domains: IT, Healthcare, Pharma, E-commerce , Finance, etc.

Machine Learning 40

Machine Learning Engineering Pipeline-centric Database-centric 40

AltexSoft

APRIL 12, 2022

An ML model is an algorithm (e.g., Decision Trees, Random Forests, or Neural Networks) that has been trained on data to generate predictions and help a computer system, a human, or their tandem make decisions. To enable algorithm fairness, you can: research biases and their causes in data (e.g., Source: SMBC Comics.

Insurance 98

Insurance Recruitment Government Algorithm 98

Knowledge Hut

DECEMBER 21, 2023

IoT: Overview IoT has numerous applications in various sectors such as healthcare, agriculture, transportation, manufacturing, and smart cities. The data collected from IoT devices can be used to improve decision-making, optimize processes, and enhance customer experiences.

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Coding Transportation Medical Hospitality 98