Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Organizations are increasingly interested in Hadoop to gain insights and a competitive advantage from their massive datasets. Hadoop is widely used because it can store and analyze large datasets in a decentralized manner.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

JANUARY 24, 2024

From wrestling with complex datasets to crafting predictive models, a data scientist's routine is a dynamic interplay of analytical prowess, coding finesse, and a profound understanding of the business landscape. Data Integration : Merging and harmonizing data from diverse origins to create a coherent dataset for thorough examination.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

The Modern Data Company

JULY 24, 2023

The interconnected nature of data products enables the utilization of enriched datasets and facilitates complex data transformations, empowering organizations to uncover hidden patterns and make data-driven decisions with confidence.

Data Lake 52

Data Lake Transportation Algorithm Data 52

Knowledge Hut

MARCH 22, 2024

The best data structure courses provide comprehensive coverage of linear structures like arrays and linked lists as well as non-linear structures like trees and graphs, with hands-on programming practice to build skill in implementing optimised algorithms using appropriate storage schemes. Better suited for representing complex relationships.

Algorithm 52

Algorithm Data Datasets Accessible 52

The Modern Data Company

JULY 24, 2023

The interconnected nature of data products enables the utilization of enriched datasets and facilitates complex data transformations, empowering organizations to uncover hidden patterns and make data-driven decisions with confidence.

Data Lake 52

Data Lake Transportation Data Algorithm 52

Knowledge Hut

APRIL 25, 2024

We apply Geospatial analytics techniques to gather insights from spatial datasets. It is widely used in industries or work such as transportation, marketing , and retail. A geospatial data scientist must know how to handle large datasets of images and locations, visualize and query them, and use them to make predictions.

Data Science 52

Data Science Telecommunication Transportation Big Data 52

Scott Logic

MARCH 6, 2024

Numerical Weather Prediction (NWP) is the practice of producing forecasts using deterministic algorithms, built from the physics-based equations that govern real-world weather patterns. Reanalysis Data As with any machine learning approach, GraphCast had to be trained with a good dataset. More complex numerical models?

Datasets 52

Datasets Machine Learning Transportation Algorithm 52

Knowledge Hut

FEBRUARY 13, 2024

For example, quantum computers could be used to crack highly secure encryption algorithms. However, with advancements in technology and huge datasets to analyze, the field is making big strides in how it can be used. As a result, the transportation industry is investing heavily in cybersecurity technology to keep up with the threat.

Healthcare 98

Healthcare Cloud Computing Transportation Manufacturing 98

Knowledge Hut

NOVEMBER 19, 2023

Machine learning for business is AI-based algorithms that can perform specific tasks without the need for explicit programming. For instance, they can use such algorithms to categorize large volumes of unstructured data and analyze them to make appropriate business decisions and investment strategies.

Machine Learning 52

Machine Learning Deep Learning BI Datasets 52

Lyft Engineering

MARCH 12, 2024

The exploration algorithm is epsilon greedy with 20% exploration. In addition, we created our own internal RL library with model definitions, data processing, and bandit algorithm implementations to integrate with our infrastructure and make it easy for model creators to get started.

Algorithm 66

Algorithm Machine Learning Datasets Food 66

Knowledge Hut

JUNE 26, 2023

Moreover, this project concept should highlight the fact that there are many interesting datasets already available on services like GCP and AWS. Hundreds of datasets are available from these two cloud services, so you may practise your analytical skills without having to scrape data from an API.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

AltexSoft

OCTOBER 13, 2022

Generative AI refers to unsupervised and semi-supervised machine learning algorithms that enable computers to use existing content like text, audio and video files, images, and even code to create new possible content. Generative modeling tries to understand the dataset structure and generate similar examples (e.g.,

Algorithm 90

Algorithm Deep Learning Machine Learning Datasets 90

ProjectPro

NOVEMBER 18, 2021

With wide applications in various sectors like healthcare, education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there. It also has to decide on the shipping method to minimize transportation costs while meeting the promised delivery date.

Data Science 52

Data Science Project Food Pharmaceutical 52

Knowledge Hut

OCTOBER 30, 2023

Deep learning projects are applications or systems that use deep learning algorithms to perform complex tasks such as image recognition, natural language processing, speech recognition, and prediction. This dataset contains medical record data for Pima Indians and indicates whether they had an onset of diabetes within five years.

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

ProjectPro

AUGUST 28, 2021

Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems. Machine Learning Projects (ML Projects) in Transportation 1.

Portfolio 52

Portfolio Project Datasets Algorithm 52

Knowledge Hut

OCTOBER 30, 2023

Medical insurance fraud detection Medical Insurance Fraud Detection is a special data science approach for predicting fraud in the medical insurance market that makes use of real-time analysis and classification algorithms. Your user behavior modeling system will be built using big data algorithms.

Big Data 52

Big Data Coding Project Medical 52

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Another method for enhancing your dataset and creating more intriguing features is to use graphs.

Big Data 52

Big Data Coding Project Hadoop 52

Grouparoo

DECEMBER 7, 2021

Data encryption techniques ensure that only authorized users with access to the decryption key can modify data if the key is secure and the encryption algorithm is sufficiently robust. However, data encryption places a processing overhead on each access to the data. This has the potential to impact the entire business operations.

Data Integration 52

Data Integration Manufacturing ETL Tools Transportation 52

ProjectPro

OCTOBER 26, 2021

A machine learning framework is a tool that lets software developers, data scientists, and machine learning engineers build machine learning models without having to dig into the underlying working principle(math and stat) of the machine learning algorithms. It bundles a vast collection of data structures and ML algorithms.

Machine Learning 52

Machine Learning Programming Language Healthcare Deep Learning 52

Knowledge Hut

JULY 3, 2023

Healthcare, manufacturing, utilities, transportation, agriculture, and consumer goods are a few of the leading IoT industries. Multiple Professional Alternatives: IoT crosses industries and provides a variety of professional alternatives in industries including healthcare, manufacturing, transportation, energy, and more.

Computer Science 52

Computer Science Programming Language Transportation Education 52

ProjectPro

FEBRUARY 22, 2022

Dataset: As an example, you can use this Walmart Dataset on Kaggle. The dataset contains Walmart store sales (Year, Month, Product Category, and Sales) for 2009-2014. SQL Project Idea: You can use the dataset to create an online retail application database in SQL. Dataset: Imagine you run a chain of bookstores.

Data Analysis 52

Data Analysis SQL Project Banking 52

ProjectPro

APRIL 1, 2021

As I mentioned, the data science problems we focus on are very close to society so we focus on few business domains which we call - HEARTS H - Healthcare E - Education A - Agriculture R - Retail T - Transportation S - Smart city These are the primary focus areas. Last year GPT3 came, which is one of the most interesting algorithms.

Data Science 40

Data Science Telecommunication Algorithm Machine Learning 40

ProjectPro

JUNE 24, 2021

Machine learning and Natural language processing skills : Processing of the data may require algorithms and techniques from the fields of machine learning and natural language processing to be applied. An approach to performing customer market basket analysis can be done using Apriori and Fp Growth data mining algorithms.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

Knowledge Hut

DECEMBER 26, 2023

You will also need an ETL tool to transport data between each tier. These complicated datasets are decoded by data mining, which then provides a cleaner version from which the business intelligence team can extract insights. Analyzing Big data with BI It is critical to consider the studies the provided data can facilitate.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

ProjectPro

DECEMBER 22, 2016

Data analysts are in great demand and sorely needed with many novel data analyst job positions emerging in business domains like healthcare, fintech, transportation, retail, etc. Data mining algorithms automatically develop equations. Data analysis involves data cleaning. Results of data mining are not always easy to interpret.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

Confluent

FEBRUARY 6, 2019

After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. We use a test dataset from Kaggle as a foundation to train an unsupervised autoencoder to detect anomalies and potential fraud in payments.

Machine Learning 107

Machine Learning Python Kafka Java 107

Monte Carlo

MAY 17, 2023

Keep Critical Machine Learning Algorithms Online 27. This impacted machine learning algorithms and dashboards used for real-time decision making. This functionality typically depends on machine learning algorithms that are operating on fresh data. Improve Marketing Campaigns 23. Enable A Robust Experimentation Infrastructure 24.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Keep Critical Machine Learning Algorithms Online 27. This impacted machine learning algorithms and dashboards used for real-time decision making. This functionality typically depends on machine learning algorithms that are operating on fresh data. Improve Marketing Campaigns 23. Enable A Robust Experimentation Infrastructure 24.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

ProjectPro

JULY 27, 2021

Complex algorithms, specialized professionals, and high-end technologies are required to leverage big data in businesses, and big Data Engineering ensures that organizations can utilize the power of data. Since non-RDBMS are horizontally scalable, they can become more powerful and suitable for large or constantly changing datasets.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

U-Next

MARCH 13, 2023

The model can learn to distinguish between similar images if given a sizable enough dataset. The system can learn on its own thanks to algorithms, which enable it to take the position of humans in activities like picture recognition. It is not difficult to find general-purpose public datasets for computer vision.

Deep Learning 73

Deep Learning Machine Learning Datasets Healthcare 73

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. The particular amount largely depends on your goals and the complexity of the algorithm employed.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

DECEMBER 21, 2021

In this case, the training dataset will consist of multiple songs with labels showing genres like pop, jazz, rock, etc. More on how data is preprocessed for machine learning you can find in our dedicated video and/or article on preparing a dataset for ML. Others use publicly available datasets. Data labeling challenges.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

AltexSoft

SEPTEMBER 13, 2023

It points out the critical role that data quality plays in the outcomes you get from these algorithms. This specialist must have a deep knowledge of language algorithms and techniques is a must-have. Suppose you’re in charge of optimizing fuel efficiency for a transportation company’s fleet of trucks.

Engineering 59

Engineering Hospitality Transportation Algorithm 59

U-Next

AUGUST 26, 2022

Algorithm-driven firms are the new inventors and corporate executives because they go well beyond typical KPI measurement and reviewing to uncover hidden patterns. Prescriptive Analytics is complex to deploy and maintain since it makes use of cutting-edge tools and technology, including machine learning, business requirements, and algorithms.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

U-Next

OCTOBER 27, 2022

Artificial Intelligence (AI) and Machine Learning (ML) algorithms have advanced to the point where they can now analyze enormous datasets and provide much-increased accuracy via self-learning and adapting to new circumstances. Insurers analyze massive datasets in search of high-risk customers so they can provide more secure coverage.

Technology 40

Technology Insurance Hospitality Machine Learning 40

Netflix Tech

DECEMBER 17, 2019

The database is sending them to a transport that DBLog can consume. We use the term ‘ change log’ for that transport. Dump Processing Dumps are needed as transaction logs have limited retention, which prevents their use for reconstituting a full source dataset. Figures 2a and 2b are illustrating the chunk selection algorithm.

MySQL 84

MySQL PostgreSQL Database Transportation 84

Netflix Tech

DECEMBER 17, 2019

The database is sending them to a transport that DBLog can consume. We use the term ‘ change log’ for that transport. Dump Processing Dumps are needed as transaction logs have limited retention, which prevents their use for reconstituting a full source dataset. Figures 2a and 2b are illustrating the chunk selection algorithm.

MySQL 79

MySQL PostgreSQL Database Transportation 79