Knowledge Hut

APRIL 26, 2024

Datasets play a crucial role and are at the heart of all Machine Learning models. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. Quality data is therefore important to ensure the efficacy of a machine learning model.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

RandomTrees

JUNE 17, 2024

This article looks into AI’s different uses in financial fraud detection, with a focus on techniques involving anomaly detection, machine learning algorithms, and real-time data analysis that help safeguard the credibility of financial systems. It employs an AI-driven fraud detection system to secure its transactions.

Banking 52

Banking Deep Learning Finance Machine Learning 52

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

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Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention. Let us get started!

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Project Healthcare Deep Learning Transportation 96

Snowflake

OCTOBER 26, 2023

Generative AI uses neural networks and deep learning algorithms from LLMs to identify patterns in existing data to generate original content. But while the potential is theoretically limitless, there are a number of data challenges and risks HCLS executives need to be aware of when using AI that can create new content.

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Healthcare Unstructured Data High Quality Data Medical 85

Knowledge Hut

DECEMBER 26, 2023

You can look for data science certification courses online and choose one that matches your current skill levels, schedule, and the outcome you desire. Mathematical concepts like Statistics and Probability, Calculus, and Linear Algebra are vital in pursuing a career in Data Science.

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Data Science BI Business Intelligence Machine Learning 97

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. What is Data Science?

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

Knowledge Hut

MAY 3, 2024

Spark can access diverse data sources and make sense of them all and hence it’s trending in the market over any other cluster computing software available. Analytics - Spark can be very useful when building real-time analytics from a stream of incoming data. Do let us know how your learning experience was, through comments below.

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AltexSoft

MAY 27, 2022

A large hospital group partnered with Intel, the world’s leading chipmaker, and Cloudera, a Big Data platform built on Apache Hadoop , to create AI mechanisms predicting a discharge date at the time of admission. The built-in algorithm learns from every case, enhancing its results over time. Data preparation for LOS prediction.

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Hospitality Medical Healthcare Algorithm 98

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine.

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Data Science Data Architect Data Mining Programming Language 52

U-Next

AUGUST 8, 2022

In contrast, information mining is the practice of trying to remove information or intriguing patterns from unstructured data. Learning algorithms are applied in this processing system. In Machine Learning, What Is “Overfitting”? Distinguish Between Machine Learning That Is Supervised and Unsupervised.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

ProjectPro

FEBRUARY 16, 2023

The study and pattern of how humans think is the foundation of artificial intelligence, and the algorithm replicates human brain functions. Focus Historical data analysis, reporting, and visualization. Predictive and prescriptive analytics, machine learning, and deep learning.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

Knowledge Hut

MAY 23, 2024

Matlab: Matlab is a closed-source, high-performing, numerical, computational, simulation-making, multi-paradigm data science tool for processing mathematical and data-driven tasks. Through this tool, researchers and data scientists can perform matrix operations, analyze algorithmic performance, and render data statistical modeling.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Another application of musical audio analysis is genre classification: Say, Spotify runs its proprietary algorithm to group tracks into categories (their database holds more than 5,000 genres ).

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Machine Learning Building Deep Learning Datasets 122

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. This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data.

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Medical Healthcare Process Hospitality 52

AltexSoft

NOVEMBER 1, 2023

NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. Modern content platforms, from news websites to streaming services like Netflix, harness NER to fine-tune their recommendation algorithms.

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U-Next

AUGUST 18, 2022

Data Science may combine arithmetic, business savvy, technologies, algorithm, and pattern recognition approaches. These factors all work together to help us uncover underlying patterns or observations in raw data that can be extremely useful when making important business choices.

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Unstructured Data Data Science Medical Business Intelligence 40

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’s a study of Computer Algorithms, which helps self-improvement through experiences. Why Should You Pursue A Career In Artificial Intelligence?

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Knowledge Hut

JUNE 20, 2023

Skills A data engineer should have good programming and analytical skills with big data knowledge. A machine learning engineer should know deep learning, scaling on the cloud, working with APIs, etc. Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

AltexSoft

MAY 5, 2023

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.

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Machine Learning Hospitality Algorithm Deep Learning 59

U-Next

SEPTEMBER 23, 2022

Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Methods like sensitivity analysis and training algorithms are used for classification and regression. However, it also uses statistical modeling and Machine Learning techniques.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

Knowledge Hut

OCTOBER 26, 2023

It comes with in-built ML algorithms that do not require label data and leverages semantic search to simplify tasks. When AWS is used along with nearest-neighbor algorithms, you can get relevant recommendations and accurate results. Source code: GitHub 5. Amazon Redshift is a cloud warehouse service that is fully managed by AWS.

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AWS Coding Project Cloud Computing 52

Knowledge Hut

JANUARY 19, 2024

With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. Data Manipulation Techniques to organize and present data meaningfully.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

U-Next

SEPTEMBER 22, 2022

Several vetted models and algorithms are used in the predictive analytics tools in order to generate a large number of useful outcomes that are applicable to a wide range of use cases. . Understanding The Types Of Predictive Modeling Algorithms . Listed below are some of the different types of predictive modeling algorithms: .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

Knowledge Hut

JANUARY 22, 2024

Data science is a field of study that combines industry expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data scientists apply machine learning algorithms to numbers, text, images, video, audio, and more to create artificial intelligence (AI) systems.

Data Science 52

Data Science Banking Big Data Insurance 52

AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. Unstructured data represents up to 80-90 percent of the entire datasphere.

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Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

DECEMBER 21, 2021

Machine learning, unlike other fields, has a global reach when it comes to job opportunities. 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.

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Machine Learning Engineering Algorithm Data Science 52

AltexSoft

JULY 27, 2021

These days, the true power of customer experience personalization can be realized with the help of machine learning. By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. Source: Medium.

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Machine Learning Systems Algorithm Deep Learning 76

ProjectPro

JANUARY 28, 2022

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 52

Machine Learning Python Datasets Algorithm 52

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Classification 2. Machine Learning Projects on Prediction 3. Machine Learning Projects on Computer Vision 4. Machine Learning Projects on Natural Language Processing (NLP) 5. Deep Learning and Neural Network Projects 6.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Knowledge Hut

JUNE 27, 2023

The integration of computer science with emerging technologies like artificial intelligence, machine learning, and blockchain is driving the field towards new frontiers, revolutionizing industries and creating new opportunities for innovation and growth. Applications: Self-driving cars, personalized health care, & predictive-modeling.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. We’ll also share what we learned from our experience building a price prediction module for Rakuten Travel. But there are particular challenges associated with hotel price prediction using machine learning.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

AltexSoft

APRIL 27, 2023

Efficient analysis of data from multiple sources helps pharma businesses identify market trends and develop targeted marketing strategies. Machine learning algorithms can be used to predict future sales of particular drugs or spot growth. The event harmonizer automates data collection and processing. Marketing and sales.

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Data Analytics Pharmaceutical Medical Manufacturing 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. You can use open-source medical datasets like CHDS (Child Health and Development Studies), HCUP, Medicare to test your machine learning algorithm. Text Processing b.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

FEBRUARY 7, 2023

We can divide the types of Data Science Platforms into 3 parts. Automation Tools These tools help engineers to automate repetitive tasks in data science, including training models, selecting algorithms, and more. Gets slow when working on heavy Deep Learning Algorithms 2. They are: 1. Platform H2O.ai

Data Science 52

Data Science Google Cloud Machine Learning Programming Language 52

AltexSoft

OCTOBER 18, 2022

Yet, in both cases, the necessity to comply with regulations adds an extra step to the preparation of datasets for machine learning. Medical data labeling. Medical or not, unstructured data — like texts, images, or audio files — require labeling or annotation to train machine learning models. Today, when over 1.7

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Medical Datasets Machine Learning Hospitality 52