Cloudera

JUNE 12, 2024

AI and ML for Risk Management ML models can analyze large volumes of data to identify patterns and anomalies indicating potential risks such as fraud, money laundering or credit default, enabling proactive mitigation. Risk and compliance analysis Risk and compliance analysis is another critical application of AI in finance.

Finance 77

Finance Portfolio Government Unstructured Data 77

ProjectPro

JUNE 6, 2025

This groundbreaking technique augments existing datasets and ensures the protection of sensitive information, making it a vital tool in industries ranging from healthcare and finance to autonomous vehicles and beyond. This blog explores synthetic data generation, highlighting its importance for overcoming data scarcity.

Healthcare 40

Healthcare Medical Datasets Machine Learning 40

ProjectPro

JANUARY 27, 2023

From identifying fraudulent transactions to predicting market crashes, data science applications in the finance industry are endless. All this is possible now, thanks to the versatile data science applications in the finance industry. The risk of loss due to indecision and human error is therefore minimized.

Finance 52

Finance Data Science Unstructured Data Algorithm 52

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

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

ProjectPro

JUNE 6, 2025

Data preparation for machine learning algorithms is usually the first step in any data science project. It involves various steps like data collection, data quality check, data exploration, data merging, etc. This blog covers all the steps to master data preparation with machine learning datasets.

Data Preparation 40

Data Preparation Machine Learning Project IT 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

ProjectPro

JUNE 6, 2025

In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. In real life, the features of data points in any given domain occur within some limits.

Machine Learning 40

Machine Learning Python Algorithm Datasets 40

ProjectPro

JUNE 6, 2025

Feeling algorithms all around you? AI has become a game-changer, revolutionizing healthcare, finance, retail, and more industries. This indicates several job opportunities for these AI professionals, from healthcare and finance to tech and manufacturing. From healthcare to finance, every industry needs these data wizards.

Machine Learning 40

Machine Learning Computer Science Consulting Software Engineer 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. This blog explores some of the most popular industry-specific generative AI use cases and applications from banking and finance to the manufacturing sector.

Insurance 52

Insurance Manufacturing Medical Banking 52

ProjectPro

JUNE 6, 2025

Big data analytics market is expected to be worth $103 billion by 2023. We know that 95% of companies cite managing unstructured data as a business problem. of companies plan to invest in big data and AI. million managers and data analysts with deep knowledge and experience in big data. While 97.2%

Big Data 40

Big Data Big Data Skills Scala Hadoop 40

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

Snowflake

JANUARY 8, 2024

Market intelligence and portfolio management: Gen AI can help deduce market sentiment and financial trends by analyzing unstructured data such as filings, reports and news articles. Enhanced algorithmic simulations, fueled by extensive forecasting data, can provide more accurate and reliable risk-model recommendations.

Unstructured Data 116

Unstructured Data Government Portfolio Insurance 116

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

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

Evolution of Machine Learning Applications in Finance : From Theory to Practice So, to make the most of the new fuel: Data, and to shop for the sky-rising old fuel: Petrol, it is crucial to be aware of all of these new terms thrown at us. Also, it would need less human intervention than what we need in Data mining.

Data Mining 40

Data Mining Machine Learning Data Science Algorithm 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. The basic datasets in this field are as follows.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

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 40

Data Mining Banking Retail Healthcare 40

Towards Data Science

OCTOBER 7, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use. Generative AI plays a role in employee training.

Unstructured Data 98

Unstructured Data Finance SQL Media 98

ProjectPro

JUNE 6, 2025

LangChain is equipped with robust tools for document retrieval, enabling AI agents to access and process large sets of unstructured data, such as knowledge bases or databases, to enhance responses based on context and content. It enables autonomous financial reporting by collecting, analyzing, and presenting data insights in finance.

Building 40

Building Finance Healthcare Medical 40

ProjectPro

JUNE 6, 2025

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Students who are inclined to work in finance or fintech sectors must have this on their resume. There is a broad spectrum of data available on finance and the stock market.

Machine Learning 40

Machine Learning Project Algorithm Datasets 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 machine learning career path is perfect for you if you are curious about data, automation, and algorithms, as your days will be crammed with analyzing, implementing, and automating large amounts of knowledge. This includes knowledge of data structures (such as stack, queue, tree, etc.),

Machine Learning 40

Machine Learning Engineering Algorithm Computer Science 40

Knowledge Hut

JANUARY 18, 2024

Roles and Responsibilities Design machine learning (ML) systems Select the most appropriate data representation methods. Research and implement machine learning tools and algorithms. Choose data sets. Data Scientists A data scientist’s role is to collect, analyze, and interpret massive amounts of data.

Data Science 98

Data Science Data Architect Business Analyst ETL Method 98

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

Knowledge Hut

JANUARY 18, 2024

Data Science is a field of study that handles large volumes of data using technological and modern techniques. This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. Both data science and software engineering rely largely on programming skills.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

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

Knowledge Hut

JANUARY 18, 2024

Data Science has wide applications in banking , finance, health care, fraud detection, marketing , etc. organizations can use Data Science to measure, track and record the performance of the companies and make decisions based on solid evidence. They also have platforms where data scientists can share their knowledge.

Data Science 98

Data Science Amazon Web Services Finance Big Data 98

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.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

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

A Generative AI Engineer is a specialized AI professional who focuses on creating and implementing generative AI models and algorithms. This spike is driven by the rapid adoption of AI technologies across healthcare, finance, and entertainment sectors. This includes implementing complex algorithms and customizing models.

Engineering 40

Engineering Entertainment Deep Learning Algorithm 40

ProjectPro

JUNE 6, 2025

Machine learning is revolutionizing how different industries function, from healthcare to finance to transportation. Data Scientists use machine learning algorithms to predict equipment failures in manufacturing, improve cancer diagnoses in healthcare , and even detect fraudulent activity in 5.

Machine Learning 40

Machine Learning Algorithm Amazon Web Services Healthcare 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

RandomTrees

JUNE 17, 2024

AI technology is revolutionizing and changing the way that fraud detection and prevention are being practiced, especially in the finance industry. AI has become an enabler in this area because it can analyze large amounts of data and identify complex patterns. It includes identifying unusual behaviors or patterns within datasets.

Banking 52

Banking Machine Learning Finance Deep Learning 52

Monte Carlo

OCTOBER 4, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use. Generative AI plays a role in employee training.

Unstructured Data 72

Unstructured Data Finance SQL Media 72

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