Knowledge Hut

JANUARY 11, 2024

evacuation before cyclone ''Fani'' Entertainment Industry: Netflix u ses data science to personalize the content and improve recommendations. Airbnb focuses on growth by analyzing customer voice using data science. Amazon uses data science to personalize shopping experiences and improve customer satisfaction.

Data Science 98

Data Science Transportation Hospitality Banking 98

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. Fast-changing Data. Real-time Demands.

Medical 120

Medical Retail Datasets Algorithm 120

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.

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Pharmaceutical Data Science Medical Deep Learning 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 Mining Data Architect Programming Language 52

Knowledge Hut

DECEMBER 26, 2023

You can look for data science certification courses online and choose one that matches your current skill levels, schedule, and the outcome you desire. Mathematical concepts like Statistics and Probability, Calculus, and Linear Algebra are vital in pursuing a career in Data Science.

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Data Science BI Business Intelligence Data Mining 97

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

AltexSoft

JUNE 14, 2021

Insurers use data collected from smart devices to notify customers about harmful activities and lifestyles. On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. Invest in data infrastructure.

Insurance 88

Insurance Medical Machine Learning Data Collection 88

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.

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Coding Transportation Medical Hospitality 98

Knowledge Hut

FEBRUARY 29, 2024

Currently, numerous resources are being created on the internet consisting of data science websites, data analytics websites, data science portfolio websites, data scientist portfolio websites and so on. So, having the right knowledge of tools and technology is important for handling such data.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Knowledge Hut

SEPTEMBER 25, 2023

If someone were to ask me about pursuing a career in data analytics, my advice would be to consider obtaining a certification. Professional certification in data analytics attests to your competence in gathering, organizing, and analyzing data to produce actionable business insights.

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Certification Business Analyst Big Data Data Analysis 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 Engineering Data Engineer Engineering 52

WeCloudData

OCTOBER 19, 2021

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. The app provides some time-series analytics, energy consumption and cost associated with it. Problem Statement The Client uses AWS as the main cloud provider.

Consulting 52

Consulting AWS Aggregated Data Data Collection 52

WeCloudData

OCTOBER 19, 2021

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. The app provides some time-series analytics, energy consumption and cost associated with it. Problem Statement The Client uses AWS as the main cloud provider.

Consulting 52

Consulting AWS Aggregated Data Data Collection 52

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. Job Requirements For Interns In Data Science You'll need the following qualifications to work as a data science intern: 1.

Data Science 52

Data Science Portfolio Recruitment Education 52

Knowledge Hut

FEBRUARY 16, 2024

Work on Projects t o Develop Your Practical Data Analytics Skills With a solid understanding of business concepts and the capacity to evaluate massive amounts of data, you may begin honing your ability to apply your new knowledge to real-world challenges. Data collection and cleansing.

Business Analyst 52

Business Analyst Portfolio Programming Language Certification 52

Knowledge Hut

JUNE 26, 2023

Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? As part of similar research, Felipe Hoffa analysed gigabytes of data spread over many publications from Google's BigQuery data collection. Source Code: Realtime Data Analytics 2.

Data Engineering 98

Data Engineering Data Engineer Coding Project 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 Healthcare Deep Learning 52

Cloudera

FEBRUARY 8, 2021

The goal is to define, implement and offer a data lifecycle platform enabling and optimizing future connected and autonomous vehicle systems that would train connected vehicle AI/ML models faster with higher accuracy and delivering a lower cost.

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

AltexSoft

SEPTEMBER 19, 2023

For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years. Businesses selling vacation rentals can take advantage of data collection from AirDNA , Mashvisor , and others. Assemble a data science team.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Knowledge Hut

NOVEMBER 27, 2023

Additionally, proficiency in probability, statistics, programming languages such as Python and SQL, and machine learning algorithms are crucial for data science success. Through the article, we will learn what data scientists do, and how to transits to a data science career path. What Do Data Scientists Do?

Data Science 52

Data Science Datasets Machine Learning Portfolio 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. This is where the aptitude for reporting, data visualization, and various tools for business intelligence comes into play. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

Knowledge Hut

JANUARY 18, 2024

Data Science is strongly influenced by the value of accurate estimates, data analysis results, and understanding of those results. Data scientists, like software engineers, strive to optimize algorithms and handle the trade-off between speed and accuracy. Get to know more about SQL for data science.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

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. Statistics and Probability: Study of predictions through sets of past data available. is highly beneficial.

Medical 52

Medical Computer Science Scala Machine Learning 52

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

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Data Engineering Weekly

FEBRUARY 19, 2023

The blog discusses fairness in ML and demonstrates why high accuracy doesn’t mean the algorithm is fair. link] Sponsored: [New Guide] The Ultimate Guide to Data Mesh Architecture If implementing data mesh is high on your list of priorities, you’re not alone.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

APRIL 25, 2024

Only one in three data scientists claim to be specialist in geographical analysis, indicating that there are still very few spatial data scientists. Generally, five key steps comprise the standard workflow for spatial data scientists, which takes them from data collection to offering business insights after the process.

Data Science 52

Data Science Telecommunication Transportation Big Data 52

U-Next

SEPTEMBER 9, 2022

The benefits of automation are numerous, especially in the competitive world of business analytics. This article outlines the true potential of automated Business Analytics and Data Analytics. . Will Business Analytics Be Automated? . Those automated practices are essential to Business Analytics in the future.

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Business Analyst Raw Data Business Intelligence Cloud Computing 40

Knowledge Hut

JUNE 20, 2023

A solution to this problem will make such data more available. It will then be easily retrievable and usable by a variety of data analytics tools. Spatial Indexing: Database technology can create spatial indexes to enable faster queries on spatio-temporal data.

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Database Java Education Data Collection 52

U-Next

OCTOBER 16, 2022

This is done by identifying knowledge using Data Mining algorithms. . What is KDD in Data Mining? . As a method of analyzing data from databases, KDD in data mining involves programming and analytical techniques in order to extract useful and applicable information. Data Selection and Integration: .

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Data Mining Process IT Raw Data 40

Knowledge Hut

MARCH 27, 2024

The collection of meaningful market data has become a critical component of maintaining consistency in businesses today. A company can make the right decision by organizing a massive amount of raw data with the right data analytic tool and a professional data analyst. What Is Big Data Analytics?

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Big Data Data Analytics MongoDB Big Data Tools 52

Data Science Blog: Data Engineering

SEPTEMBER 18, 2020

We need the same kind of professionalism in dealing with data that has been achieved in the established branches of engineering. Data Management Develop the data management strategy, define policies on data lifecycle management, design the specific solution architecture, and validate the technical solution after implementation.

Data Science 52

Data Science Consulting Software Engineer Software Engineering 52

Knowledge Hut

NOVEMBER 28, 2023

As a Data Engineer, you must: Work with the uninterrupted flow of data between your server and your application. Work closely with software engineers and data scientists. AI and Machine Learning AI and machine learning, along with application and knowledge of algorithms, continues to be an important part of data engineer skills.

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Data Engineering Data Engineer Engineering Generalist 52

U-Next

SEPTEMBER 7, 2022

The purpose of this article is to explain what HR analytics is, its benefits, and its critical role in HR. . What Is HR Analytics? . HR Analytics are specialized forms of data analytics that use employee-related data and analytical processes to improve HR performance levels and employee retention.

IT 40

IT Recruitment Data Analysis Algorithm 40

Knowledge Hut

JULY 3, 2023

Real-time data ingestion infrastructure incorporates data processing frameworks and platforms that handle real-time data transformation, filtering, aggregation, and improvement. Analytical Data Store: Transformed and filtered or preprocessed data is stored for analytical findings and real-time analytics on the ingested data.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Data Collection Machine Learning Unstructured Data Non-relational Database 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.

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Unstructured Data Medical Data Science Business Intelligence 40