Knowledge Hut

DECEMBER 26, 2023

Data science develops predictive models using sophisticated machine learning algorithms. The data used for analysis can come from various sources and be presented in various formats. Nothing is more fascinating than examining a data set to discover relationships and gain unique insights.

Data Science 52

Data Science Portfolio Recruitment Education 52

Knowledge Hut

DECEMBER 21, 2023

The data collected from IoT devices can be used to improve decision-making, optimize processes, and enhance customer experiences. This can be done by analyzing customer data, such as purchase history and browsing behavior, and using machine learning algorithms to generate personalized recommendations.

Coding 98

Coding Transportation Medical Hospitality 98

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Audio analysis has already gained broad adoption in various industries, from entertainment to healthcare to manufacturing. Audio data transformation basics to know. Speech recognition.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Knowledge Hut

FEBRUARY 15, 2023

Data analysis starts with identifying prospectively benefiting data, collecting them, and analyzing their insights. Further, data analysts tend to transform this customer-driven data into forms that are insightful for business decision-making processes. hire expert finance data analysts often.

Data Cleanse 52

Data Cleanse Entertainment Business Intelligence Recruitment 52

ProjectPro

NOVEMBER 18, 2021

We have developed ten exciting data science case studies to explain how data science is leveraged across various industries to make smarter decisions and develop innovative personalized products tailored to specific customers. As a preemptive measure, the company collects historical and real-time data for every order.

Data Science 52

Data Science Project Food Pharmaceutical 52

AltexSoft

NOVEMBER 15, 2022

Occupancy prediction models are developed using lots of data collected from various sources. Regarding the amount of data, here is the rule “the more the better.” When you take historical data containing a wide array of instances over the years, there will always be gaps in data. Recurrent neural networks.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

Knowledge Hut

NOVEMBER 16, 2023

Data Collection and Preparation To create effective Generative AI models, you should start by gathering a good dataset that matches your project's needs. Therefore, although Generative AI can produce intriguing and entertaining content, I would not recommend you always rely on the information or content that they create.

Medical 52

Medical Datasets Healthcare Finance 52

U-Next

AUGUST 3, 2022

After understanding what Data Science is and its fundamental principles, what else do we need to discuss? What is a Data Scientist? A Data Scientist is skilled in concluding data using various systems, procedures, and algorithms. Qualifications needed to become a Data Scientist.

Retail 52

Retail Data Science Computer Science Entertainment 52

U-Next

SEPTEMBER 21, 2022

Data mining is the systematic assessment of datasets to discover potentially relevant trends and correlations. The fundamental purpose of Data Mining is to process and obtain information from data collection. . Data mining is a broad and complex process with several components. . Disadvantages to Data Mining .

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

AltexSoft

MAY 12, 2023

Tools and platforms for unstructured data management Unstructured data collection Unstructured data collection presents unique challenges due to the information’s sheer volume, variety, and complexity. The process requires extracting data from diverse sources, typically via APIs.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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. Advanced data scientists can use supervised algorithms to predict future trends.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

MARCH 14, 2014

Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio! How big data helps businesses? Companies using big data excel in sorting the growing influx of big data collected, filtering out the relevant information to draw deeper insights through big data analytics.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

Netflix Tech

JANUARY 11, 2022

Growth Advertising At Netflix, we want to entertain the world ! We use contextual bandits that minimize regret in matching members to evidence, and through a collaboration with our Algorithms Engineering team, we’ve built the ability to log counterfactuals: what would a different selection policy have recommended?

Data Science 97

Data Science Data Algorithm Engineering 97