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

Cloudera

SEPTEMBER 15, 2021

Without them, data collected by IoT sensors, cameras and other devices would have to travel to a data center located hundreds or thousands of miles away. In such a scenario, data latency is essentially unavoidable — and, when real-time action is required, inadmissible. Real-time Demands.

Medical 119

Medical Retail Datasets Algorithm 119

phData: Data Engineering

JUNE 18, 2024

Preparing the data for use in the model is paramount to the benefits of machine learning predictions , so let’s review what steps to take to ensure you’re getting the most out of your model. Data Preprocessing Even though you now have clean, consistent data, it’s still not ready to train your model.

Machine Learning 52

Machine Learning Algorithm Data Preparation Datasets 52

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

Databand.ai

JULY 6, 2023

These anomalies can significantly impact data analysis, leading to incorrect or misleading insights. Unintentional anomalies are data points that deviate from the norm due to errors or noise in the data collection process. These anomalies can distort the dataset, making it challenging to derive accurate insights.

Datasets 52

Datasets Algorithm Machine Learning Data Analysis 52

Knowledge Hut

OCTOBER 27, 2023

This would help you lead teams, build predictive models, identify trends, and provide recommendations to management based on findings from the data analysed using advanced statistics, machine learning algorithms, mathematical models, and techniques. Let’s delve deep to understand it.

Data Analytics 52

Data Analytics Coding Project Medical 52

Monte Carlo

AUGUST 21, 2023

Data science teams have encountered all of these issues with their machine learning algorithms and applications over the last five years or so. The streaming event data within the product domain might benefit from being enriched by the custom data collected by the centralized team, but that connection might never be made.

Data Science 98

Data Science Machine Learning Media Data 98

Knowledge Hut

MAY 2, 2024

It means a computer or a system designed with machine learning will identify, analyse and change accordingly and give the expected output when it comes across a new pattern of data, without any need of humans. It means computers learn and there are many concepts, methods, algorithms and processes involved in making this happen.

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

Knowledge Hut

DECEMBER 27, 2023

Examine a blockchain platform standing on social media platforms like GitHub or Reddit. Hyperledger Fabric By isolating operations in channels or facilitating the exchange of private data in private data collections on a need-to-know basis, Hyperledger Fabric may also enhance data privacy.

Programming Language 98

Programming Language Banking Utilities Algorithm 98

Knowledge Hut

JANUARY 18, 2024

These streams basically consist of algorithms that seek to make either predictions or classifications by creating expert systems that are based on the input data. Even Email spam filters that we enable or use in our mailboxes are examples of weak AI where an algorithm is used to classify spam emails and move them to other folders.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

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. It accomplishes this through complex algorithms and neural network architectures, and it has vast potential across many fields.

Algorithm 52

Algorithm Entertainment Deep Learning Healthcare 52

Data Engineering Weekly

FEBRUARY 19, 2023

Netflix: Scaling Media Machine Learning at Netflix Netflix writes about media machine learning infrastructure and media-focused ML infrastructure to reduce the time from ideation to productization for media ML practitioners. The focus is to bring in data in-specific to their media assets and build a feature store.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

OCTOBER 27, 2023

Personality Analysis System Personality Analysis System project is an exciting software engineering project that requires a good understanding of natural language processing, AI algorithms, and data analysis. The system is created to help patients attain health goals and improve their overall wellbeing.

Software Engineering 98

Software Engineering Software Engineer Coding Project 98

Knowledge Hut

DECEMBER 27, 2023

Even customers who perform particular actions on your website, like clicking a button or liking a social media post, can be contacted using AI. Data analysis, media buying, content creation, personalization, and other tasks are handled by AI marketing. How to Select the best AI Platform?

Media 52

Media Machine Learning Utilities Retail 52

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

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 Engineer 98

Data Engineer Data Engineering Coding Project 98

Knowledge Hut

MAY 31, 2023

Artificial intelligence has had a profound impact on our daily lives, and we employ AI whenever you look through social media, open Spotify, or conduct a fast Google search. Currently, most students and working professionals prefer a Data Science Course to make a smooth transition in the data science field.

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

MARCH 19, 2024

From website hosting to running complicated machine learning algorithms, AWS provides a lot of applications that allow businesses to innovate, scale, and digitally transform. It also keeps backups, media files, log data, and static website content. You can enroll in an Am azon AWS course to learn more about AWS.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Striim

SEPTEMBER 11, 2024

A well-designed data pipeline ensures that data is not only transferred from source to destination but also properly cleaned, enriched, and transformed to meet the specific needs of AI algorithms. Why are data pipelines important? Where does Striim Come into Play When Building Data Pipelines?

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

AltexSoft

JUNE 14, 2021

Insurers use data collected from smart devices to notify customers about harmful activities and lifestyles. Data obtained from social media activity, fitness trackers, GPS, and other tech can help you serve customers better. Invest in data infrastructure. Personalized communications.

Insurance 88

Insurance Medical Machine Learning Data Collection 88

Knowledge Hut

JULY 26, 2023

The real-time or near-real-time nature of Big Data poses challenges in capturing and processing data rapidly. This velocity aspect is particularly relevant in applications such as social media analytics, financial trading, and sensor data processing.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

APRIL 24, 2024

Personality Analysis System Personality Analysis System project is an exciting software engineering project that requires a good understanding of natural language processing, AI algorithms, and data analysis. The system is created to help patients attain health goals and improve their overall wellbeing.

Software Engineering 52

Software Engineering Software Engineer Coding Project 52

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

JULY 3, 2023

This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing. This refers to Real-time data ingestion. These use cases show only fractional potential applications of real-time data ingestion.

Data Ingestion 52

Data Ingestion Google Cloud Pipeline-centric Media 52

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

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. Learning Outcomes: Acquire the skills necessary to assess models developed from data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

U-Next

AUGUST 11, 2022

It’s a study of Computer Algorithms, which helps self-improvement through experiences. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. Cybersecurity: Today, every individual has a virtual presence through a social media profile or a business website.

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

JUNE 20, 2023

Database Technology for the Analysis of Spatio-temporal Data Spatio-temporal data refers to data which has a geographic as well as a temporal component. Meteorological readings, GPS data, and social media content are prime examples of this diverse field.

Database 52

Database Java Education Data Collection 52

U-Next

SEPTEMBER 13, 2022

Top Data Science & Machine Learning Interview Question . Explain the term Data Science? . The first step is to compile the pertinent data and business requirements. Collecting certain data samples may be analyzed and used to represent the entire population becomes essential.

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

Knowledge Hut

NOVEMBER 28, 2023

Using algorithms and statistical models, Silver and other analysts make forecasts about politics, sports, the economy, and other topics. The site hosts historical datasets related to all these events which anyone can use to work on their data processing projects. The complete data dump can be found in the link below.

Datasets 96

Datasets Data Science Project Machine Learning 96

Knowledge Hut

FEBRUARY 11, 2023

Typical tools include websites, blogs, emailers, and social media posts with attractive graphics and videos. Digital Marketing uses strategies like Search Engine Optimization (SEO), Search Engine Management (SEM), and Social Media ads to reach out to the potential customer. Additionally, they stay current on SEO strategies.

Media 52

Media Food Recruitment Hospitality 52

U-Next

SEPTEMBER 9, 2022

It is possible to automate the data collection and update it across all your data channels. . A data dashboard with integrated analytics algorithms automates data visualization and interpretation. . Regardless of your business goals, you can collect data from a variety of sources, including social media.

Business Analyst 40

Business Analyst Raw Data Business Intelligence Cloud Computing 40

Knowledge Hut

JUNE 23, 2023

The key advantage of adaptive analytics is that businesses can make choices based on real-time data with incredibly high accuracy What is Real-time Analytics? Real-time data analytics is quickly analyzing data to provide actionable insights for enterprises. Who Uses Real-time Data Analytics?

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

AltexSoft

JULY 27, 2021

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. At the same time, the continuous growth of available data has led to information overload — when there are too many choices, complicating decision-making.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

U-Next

SEPTEMBER 28, 2022

– Collecting data and finding trends of employee productivity and engagement to better understand existing employee job satisfaction. – Developing a prediction algorithm to identify employees who may be on the verge of quitting. Data Collection . Examples of Descriptive HR Analytics .

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

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 Data Science Medical Business Intelligence 40