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 data is sent to the retailer's inventory management system, which can then automatically order more inventory. If you want to know more about IoT, check out online IoT training.

Coding 98

Coding Transportation Medical Hospitality 98

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

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

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

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. The approach finds application in security systems for user authentication.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

U-Next

SEPTEMBER 21, 2022

The idiom “data is the new oil” appropriately explains how data is fueling practically every possible system across the planet. Everything from your online buying experience to your pastime, what you stream, and what you share on social media creates and operates on data that millions of people like you generate.

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

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. This Bin Packing problem is a classic NP-Hard problem familiar to data scientists.

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.” The most reliable sources of booking information are property management systems (PMSs), channel managers , and websites allowing direct booking.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

AltexSoft

MAY 12, 2023

Generated by various systems or applications, log files usually contain unstructured text data that can provide insights into system performance, security, and user behavior. Sensor data. A fixed schema means the structure and organization of the data are predetermined and consistent. Scalability.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Netflix Tech

JANUARY 11, 2022

Growth Advertising At Netflix, we want to entertain the world ! Data Scientists play a vital role in building automated systems that leverage causal inference to decide how we spend our advertising budget. Creative excellence and continuous improvements to evidence selection systems are both crucial in achieving this goal.

Data Science 97

Data Science Data Algorithm Engineering 97

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

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data.

Hadoop 40

Hadoop Big Data Data Mining Retail 40