Edureka

SEPTEMBER 11, 2023

By employing algorithms that pick up on the subtleties of the input or training data they are given, generative AI certainly provides a multifaceted approach to data generation. Generative AI’s magic comes from understanding the intricate structures and patterns in its training data.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

Knowledge Hut

DECEMBER 26, 2023

This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc. This is one of the major reasons behind the popularity of data science.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

MARCH 5, 2021

The invisible pieces of code that form the gears and cogs of the modern machine age, algorithms have given the world everything from social media feeds to search engines and satellite navigation to music recommendation systems. Recommender Systems – An Introduction Data collection is ubiquitous now.

Algorithm 40

Algorithm Systems Python Datasets 40

U-Next

SEPTEMBER 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

Knowledge Hut

DECEMBER 27, 2023

Database Structures and Algorithms Different organizations use different data structures to store information in a database, and the algorithms help complete the task. Software developers play an important role in data collection and analysis to ensure the company's security.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

Knowledge Hut

JANUARY 11, 2024

These companies can use recommendation engines with data science to achieve higher personalization and improved user interactions. Data science is also employed in analyzing social media posts for sentiment analysis, bringing invaluable travel-related insights. On-time and safe package delivery are crucial to UPS's success.

Data Science 98

Data Science Transportation Hospitality Banking 98

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. Like Java, C, Python, R, and Scala. is highly beneficial.

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

JUNE 26, 2023

For this study, we wanted to create a "big data pipeline for user sentiment analysis on the US stock market." In a nutshell, this initiative uses social media data to provide real-time market sentiment predictions. However, the abundance of data opens numerous possibilities for research and analysis.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

ProjectPro

JANUARY 31, 2023

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.

Insurance 75

Insurance Machine Learning Project Algorithm 75

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

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: TikTok.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

AltexSoft

SEPTEMBER 19, 2023

Social media and travel blogs contain valuable information about travelers’ experiences, recommendations, preferences, and popular upcoming events. For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years.

Hospitality 52

Hospitality Machine Learning Data Governance BI 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

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. Theaters, channels, etc.,

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

ProjectPro

NOVEMBER 18, 2021

Data science has been a trending buzzword in recent times. 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. Plot histograms, heatmaps to get a better understanding of the dataset.

Data Science 52

Data Science Project Food Pharmaceutical 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. The people who have inquiries about data are known as Data Scientists.

Retail 52

Retail Data Science Computer Science Entertainment 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

AltexSoft

MAY 12, 2023

Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc. Social media posts.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

APRIL 17, 2015

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 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

MAY 31, 2021

And even if you’re not very active on social media, I’m sure you now and then check your phone before leaving the house to see what the traffic is like on your route to know how long it could take you to reach your destination. Advanced data scientists can use supervised algorithms to predict future trends.

Big Data 52

Big Data Coding Project Hadoop 52

U-Next

JULY 4, 2022

Collecting a large amount of data cannot benefit an organisation if there’s no good way to interpret it. Let’s Know About Data Science. In simple language, data science is analysing data using technology, algorithm, and inferences. Why is Data Science Important? Help to Interpret Data.

Data Science 40

Data Science Data Architect Data Mining Recruitment 40

ProjectPro

JULY 10, 2021

Sentiment Analysis from Social Media Feeds 3. Time Series-based Data Analysis for Taxi Service 4. Upskill yourself for your dream job with industry-level big data projects with source code Time Series Analysis in R or Python Python and R are both great programming languages for performing time series. Stock Price Prediction 2.

Project 40

Project Banking Datasets Python 40

ProjectPro

OCTOBER 20, 2021

Let's understand where Data Science belongs in the space of Artificial Intelligence. The estimator automatically performs the algorithm selection as well as the hyperparameter tuning Auto-Keras : To recall, Keras is an open-source library that provides a Python interface into the world of Artificial Intelligence, especially Tensorflow.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

DECEMBER 9, 2021

Pictures of many legendary individuals, including freedom fighters, activists, renowned scientists and researchers, authors, were infused with life and shared on social media platforms. A mix of both supervised and unsupervised algorithms is nothing but GANs essentially. It was a long and tedious process and often erroneous as well.

Project 52

Project Medical Datasets Deep Learning 52

U-Next

AUGUST 11, 2022

Data Science is an interdisciplinary field that blends programming skills, domain knowledge, reasoning skills, mathematical and statistical skills to generate value from a large pool of data. Skill requirements for Data Science. Knowing algorithms, mathematics, statistics, and machine learning are essential.

Data Science 40

Data Science Data Cleanse Unstructured Data Machine Learning 40

ProjectPro

AUGUST 24, 2021

Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time data aggregation. They rely on Data Scientists who use machine learning and deep learning algorithms on their datasets to improve such decisions, and data scientists have to count on Big Data Tools when the dataset is huge.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

MARCH 17, 2014

Big data and hadoop are catch-phrases these days in the tech media for describing the storage and processing of huge amounts of data. To gain competitive advantage, organizations have to make the best use of the unstructured data collected for profitable business decision making. What is Big Data according to IBM?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52