Snowflake

OCTOBER 2, 2024

Today, generative AI-powered tools and algorithms are being used for diagnostics, predicting disease outbreaks and targeted treatment plans — and the industry is just getting started. Energy optimization: AI-driven solutions can ingest power meter and machine data and suggest areas for improvement and cost savings.

Manufacturing 86

Manufacturing Pharmaceutical Healthcare Algorithm 86

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? Encryption: Secures data both at rest and in transit to prevent unauthorized access.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Pinterest Engineering

OCTOBER 23, 2024

.<organization> <project> <tier> for resource allocation and workload scheduling Tracking per-application runtime data, including the application’s start and end time, memory and vCore usage, etc. Apache YuniKorn was entirely stateless and only tracked instantaneous resource utilization across the cluster.

AWS 52

AWS Hadoop Management Algorithm 52

Knowledge Hut

FEBRUARY 29, 2024

Best website for data visualization learning: geeksforgeeks.org Start learning Inferential Statistics and Hypothesis Testing Exploratory data analysis helps you to know patterns and trends in the data using many methods and approaches. In data analysis, EDA performs an important role.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Knowledge Hut

JUNE 25, 2024

For those interested in studying this programming language, several best books for python data science are accessible. Top 8 Python Data Science Books for 2023 Python is one of the programming languages that is most commonly utilized in the field of data science. Analysis of basic Python operations and search algorithms.

Data Science 97

Data Science Python Hadoop Media 97

Striim

JULY 10, 2024

The utilization of predictive analytics has revolutionized nearly every industry, but perhaps none have experienced its transformative impact quite as profoundly as logistics. Predictive analytics in logistics involves utilizing statistical algorithms and machine learning techniques to analyze historical data.

Management 52

Management Transportation Machine Learning High Quality Data 52

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

Knowledge Hut

DECEMBER 27, 2023

Due to the inability to delete or amend the chain without network consensus, the data remains chronologically consistent. To manage orders, payments, accounts, and other transactions, you can utilize blockchain technology to establish an unchangeable or immutable ledger. Does the Platform Support Smart Contracts Functionality?

Programming Language 98

Programming Language Banking Utilities Algorithm 98

Knowledge Hut

MARCH 28, 2024

Now you might be thinking about what a data structure is, well it is the specialized way of storing and arranging data in the computer’s memory, allowing for efficient retrieval, manipulation and utilization. Learning data structures is like understanding computer language. How are Data Structures Used?

Algorithm 52

Algorithm Java Utilities Software Engineering 52

Knowledge Hut

DECEMBER 29, 2023

There are many data science fields in which experts may contribute to the success of a business, and you can hone the abilities you need by specializing in data science subfields. Data Engineering and Warehousing The data is the lifeblood of every successful Data Science endeavor.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JULY 4, 2023

Here are some key technical benefits and features of recognizing patterns: Automation: Pattern recognition enables the automation of tasks that require the identification or classification of patterns within data. These features help capture the essential characteristics of the patterns and improve the performance of recognition algorithms.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Knowledge Hut

JANUARY 23, 2024

It's like the hidden dance partner of algorithms and data, creating an awesome symphony known as "Math and Data Science." " So, get ready for a fun ride in this blog as we explore the fascinating world of math in data science. These concepts underpin many numerical algorithms used in data science.

Data Science 52

Data Science Algorithm Raw Data Data 52

Knowledge Hut

JANUARY 24, 2024

Pattern Recognition : Observing recurring trends or patterns within data to extract meaningful information. Tool Proficiency: Utilizing a diverse set of tools and technologies, including R, Tableau, Python, Matlab, Hive, Impala, PySpark, Excel, Hadoop, SQL, and SAS, to manipulate and analyze data efficiently.

Database-centric 52

Database-centric Data Science Machine Learning Algorithm 52

Databand.ai

JUNE 8, 2023

By implementing an observability pipeline, which typically consists of multiple technologies and processes, organizations can gain insights into data pipeline performance, including metrics, errors, and resource usage. This ensures the reliability and accuracy of data-driven decision-making processes.

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Data Pipeline Bytes Data Collection Raw Data 52

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.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

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

Knowledge Hut

DECEMBER 21, 2023

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing Cloud computing research topics are getting wider traction in the Cloud Computing field. The NN-MOEA algorithm utilizes neural networks to optimize multiple objectives, such as planning, cost, and resource utilization.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Data Engineering Podcast

MAY 15, 2022

Summary Industrial applications are one of the primary adopters of Internet of Things (IoT) technologies, with business critical operations being informed by data collected across a fleet of sensors. Email hosts@dataengineeringpodcast.com ) with your story. Email hosts@dataengineeringpodcast.com ) with your story.

Designing 100

Designing MongoDB AWS SQL 100

Knowledge Hut

JUNE 4, 2024

Data science in pharmaceutical industry is extensively used to improve its operations through applications such as predictive modeling, segmentation analysis, machine learning algorithms, visualization tools, etc., In this article, we have explained about data science in pharma, their use cases, o pportunities, and more.

Pharmaceutical 52

Pharmaceutical Data Science Medical Deep Learning 52

Cloudera

NOVEMBER 19, 2020

To use such tools effectively, though, government organizations need a consolidated data platform–an infrastructure that enables the seamless ingestion and integration of widely varied data, across disparate systems, at speed and scale. However, this rapid scaling up of data across government agencies brings with it new challenges.

Government 119

Government Machine Learning Algorithm Raw Data 119

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 . Employee retention . Work-life Balance .

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

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. Also, experience is required in software development, data processes, and cloud platforms. .

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

JULY 31, 2023

In 2023, Business Intelligence (BI) is a rapidly evolving field focusing on data collection, analysis, and interpretation to enhance decision-making in organizations. Utilizing this information enables the customization of marketing campaigns, enhancement of customer experiences, and optimization of product offerings.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

U-Next

AUGUST 26, 2022

Data Structure: What Is It? Data types from data administration, categorization, and warehousing are included in the data structure so that customers who utilize the information for their businesses can have adequate access. It is more efficient than a linear search algorithm.

Algorithm 40

Algorithm Data Utilities Data Science 40

Knowledge Hut

NOVEMBER 20, 2023

As a result, employers look for candidates with the best AI certification to run automation and write algorithms. Not only individually but in conjunction with AI as one of the primary data sources used to train AI automation systems. Businesses process enormous amounts of data and provide real-time results by utilizing AI.

Electronics 52

Electronics Utilities Architecture Computer Science 52

AltexSoft

OCTOBER 18, 2022

No wonder publicly available health datasets are relatively rare and attract much attention from researchers, data scientists, and companies working on medical AI solutions. Below, we’ll explore data collections the Internet has to offer and the practical tasks they help solve. Healthcare Cost and Utilization Project (HCUP).

Medical 52

Medical Datasets Machine Learning Hospitality 52

U-Next

AUGUST 17, 2022

Identifying and fixing data security flaws to shield the company from intrusions. Employing data integration technologies to get data from a single domain. Data is utilized in all facets of sales and results in life cycle analysis. Data gathering. Create data set procedures. Salary of a Data Engineer.

Data Engineer 52

Data Engineer Data Engineering Pipeline-centric Database-centric 52

Knowledge Hut

JUNE 20, 2023

Additionally, they create and test the systems necessary to gather and process data for predictive modelling. Data engineers play three important roles: Generalist: With a key focus, data engineers often serve in small teams to complete end-to-end data collection, intake, and processing.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

Knowledge Hut

DECEMBER 27, 2023

There are a number of AI technologies and programs that marketers can utilize to send automatic responses to their customers. Data analysis, media buying, content creation, personalization, and other tasks are handled by AI marketing. How to Use AI in Marketing? How to Select the best AI Platform?

Media 52

Media Machine Learning Utilities Retail 52

WeCloudData

OCTOBER 19, 2021

The company utilizes sensor solutions and provides real-time and actionable insights. They use Kinesis Firehose and AWS Lambda to transform and store the data the devices collect. The data is served to the client’s app via RDS and Dynamo DB. It also provides farmers with the power to control their operating costs.

Consulting 52

Consulting AWS Aggregated Data Data Collection 52

WeCloudData

OCTOBER 19, 2021

The company utilizes sensor solutions and provides real-time and actionable insights. They use Kinesis Firehose and AWS Lambda to transform and store the data the devices collect. The data is served to the client’s app via RDS and Dynamo DB. It also provides farmers with the power to control their operating costs.

Consulting 52

Consulting AWS Aggregated Data Data Collection 52

Knowledge Hut

MARCH 28, 2024

Purpose and Utility Software metrics allow for the quantitative assessment of software quality attributes such as reliability, maintainability, and usability. For instance, code complexity can be quantified using specific algorithms that produce numerical values. You can learn in-depth about learn Software Engineering here.

Software Engineering 52

Software Engineering Software Engineer Data Collection Coding 52

Knowledge Hut

NOVEMBER 20, 2023

In essence, it's the use of AI anomaly detection algorithms, often covered in an Artificial Intelligence course for beginners , to analyze and identify suspicious activities or transactions. Fraud detection with AI and machine learning operates on the principle of learning from data. AI, however, evolves with them.

Insurance 52

Insurance Banking Machine Learning Algorithm 52

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. Hotel price prediction is the process of using machine learning algorithms to forecast the rates of hotel rooms based on various factors such as date, location, room type, demand, and historical prices. Public datasets.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 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

Knowledge Hut

DECEMBER 26, 2023

What i s Data Science and Why is it Important? Data Science is the study of extracting insights from massive amounts of data using various scientific approaches, processes and algorithms. The development of big data, data analysis, and quantitative statistics has given rise to the term "data science."

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

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. .

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Machine Learning Data Science Deep Learning Algorithm 40