Knowledge Hut

JANUARY 18, 2024

Data science is the study of huge amounts of data using current tools and methodologies to discover previously unknown patterns, extract valuable information, and make business choices. To create prediction models, data scientists employ sophisticated machine learning algorithms. Get to know more data science career path.

Data Science 98

Data Science R (Programming) Computer Science Algorithm 98

Knowledge Hut

FEBRUARY 1, 2024

Today, we’ll talk about how Machine Learning (ML) can be used to build a movie recommendation system - from researching data sets & understanding user preferences all the way through training models & deploying them in applications. The heart of this system lies in the algorithm used in movie recommendation system.

Systems 98

Systems Entertainment Algorithm Datasets 98

Knowledge Hut

JANUARY 18, 2024

Roles and Responsibilities Design machine learning (ML) systems Select the most appropriate data representation methods. Research and implement machine learning tools and algorithms. Choose data sets. Data Scientists A data scientist’s role is to collect, analyze, and interpret massive amounts of data.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

MARCH 15, 2024

Then, as you start working, you will utilize this knowledge to optimize vital ML systems and algorithms. These systems are responsible for ingraining complex algorithms into digitized devices and increasing their processing power. You will become a seasoned professional in statistics and machine learning algorithms by now.

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 52

ProjectPro

FEBRUARY 16, 2023

The study and pattern of how humans think is the foundation of artificial intelligence, and the algorithm replicates human brain functions. On the other hand, business intelligence is a technology utilized to make better decisions in business solutions. The debate between AI and BI is not new.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Knowledge Hut

JULY 7, 2023

AI can also be utilized in software maintenance duties such as automatically discovering and correcting defects or providing code refactoring solutions. Developing algorithms that can efficiently evaluate and integrate input from several modalities is one method for improving the efficiency of multimodal NLP systems.

Software Engineer 52

Software Engineer Software Engineering Engineering Data Mining 52

Knowledge Hut

DECEMBER 28, 2023

We'll go into the specifics of these projects, from social media analytics to healthcare data analysis, to see how they're using Hadoop to solve difficult data problems if you want to learn more about Hadoop and big data by exploring Big data training. Why Are Hadoop Projects So Important?

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

MARCH 19, 2024

Data science uses and explores a variety of methods, including machine learning (ML), data mining (DM), and artificial intelligence ( AI ). This field is mostly focused on estimation, data analysis results, and understanding of these results. What Does a Software Engineer Do?

Software Engineer 52

Software Engineer Software Engineering Engineering IT 52

Knowledge Hut

JULY 31, 2023

It explores techniques to protect sensitive data while maintaining its usefulness for analysis and reporting, considering factors such as data masking algorithms, data classification, and access control mechanisms.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

U-Next

SEPTEMBER 23, 2022

Data aggregation and data mining are two essential techniques used in descriptive analytics to analyze historical data and find patterns and trends. Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Descriptive Analytics.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

Knowledge Hut

APRIL 25, 2024

It includes studying as well as experimenting with algorithm processing with the development of both hardware and software. Software The software comprises a set of instructions, data, and programs that operate the computer and execute specific tasks. They are: 1.

Technology 52

Technology Recruitment Media Cloud Computing 52

Knowledge Hut

DECEMBER 26, 2023

It is a group of resources and services for turning data into usable knowledge and information. Descriptive analytics, performance benchmarking, process analysis, and data mining fall under the business intelligence (BI) umbrella. Data mining Business intelligence can be viewed as having its roots in data mining.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Knowledge Hut

JANUARY 18, 2024

Data Science is a field of study that handles large volumes of data using technological and modern techniques. This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. Both data science and software engineering rely largely on programming skills.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

Knowledge Hut

MAY 31, 2023

For this project, students can analyze data using the Apriori algorithm. The K-means and Hierarchical clustering algorithms are generally used for this project. Machine learning algorithms such as decision trees and logistic regression are used for fraud detection. To do this, students can use Excel to clean the data.

Project 52

Project Datasets Media Python 52

U-Next

SEPTEMBER 29, 2022

A data analyst may also clean or format data, removing unnecessary or unsuitable information or determining how to cope with missing data. . A data analyst often works as part of an integrative team to identify the organization’s goals before managing the process of data mining, cleansing, and analysis.

Data Science 40

Data Science Data Analytics Data Mining Algorithm 40

Pinterest Engineering

JANUARY 18, 2024

Our engineers are constantly discovering new algorithms and new signals to improve the performance of our machine learning models. At Pinterest, ensemble model scores are used to calculate the downstream utility scores for bidding purposes while each model is optimized independently offline.

Systems 78

Systems Machine Learning Data Mining Algorithm 78

Knowledge Hut

JULY 31, 2023

It aims to explore how AI is utilized to provide personalized product recommendations, virtual assistants, dynamic pricing, chatbots, etc. Using the study, one can design and implement an autonomous transaction model that utilizes Blockchain's decentralized and immutable nature. Why Choose this Paper?

Electronics 52

Electronics Deep Learning Big Data Data Mining 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. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

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

DECEMBER 6, 2023

Data Analyst Data Analysts act as a bridge between data science and business. Data Analysts gather relevant data from various sources and must be able to present their findings in a way that all project stakeholders can understand. 3-10 LPA, but most of the companies offer a bit static salary ranging between Rs.

Engineering 52

Engineering Computer Science Programming Language Education 52

ProjectPro

JUNE 18, 2021

Java is also used by many big companies including Uber and Airbnb to process their backend algorithms. SciKit-learn: The SciKit-learn library of Python can be used for data mining and data analysis. It contains a wide range of supervised and unsupervised learning algorithms that work on a consistent Python interface.

Java 52

Java Data Science Python Programming Language 52

Knowledge Hut

JANUARY 18, 2024

Host: It is hosted by Google and challenges participants to solve a set of data science problems. Eligibility : Data science competition Kaggle is for everything from cooking to data mining. Alcrowd Alcrowd is a new algorithmic competition where participants compete to solve complex tasks.

Data Science 98

Data Science Recruitment Big Data Machine Learning 98

Pinterest Engineering

MARCH 5, 2024

To make the ads Click-through rate (CTR) predictions more personalized, our team has adopted users’ real time behavior histories and applied deep learning algorithms to recommend appropriate ads to users. Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining. 2] Zhou, Guorui, et al.

Machine Learning 60

Machine Learning Deep Learning Architecture Data Mining 60

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

Edureka

FEBRUARY 27, 2023

However, data warehouses can be difficult and expensive to maintain, and they can become stale if not regularly updated with new data. Data Mining: Data mining extracts valuable information from large data sets.

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 52

Knowledge Hut

SEPTEMBER 6, 2023

As we all know Data Science is the most demanding job in the IT industry, today tons of data is created by just a single click, hence it is extremely important that this data is properly tailored and utilized to make viable business decisions. Python and R are the best languages for Data Science.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

DECEMBER 26, 2023

A big data company is a company that specializes in collecting and analyzing large data sets. Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

U-Next

AUGUST 25, 2022

They are characterized as an authored syntax to carry out repetitive tasks such as mathematics calculations, visualizing data sources, having to read images, etc. It is a Python-based high-level neural net API that utilizes CNTK, TensorFlow, and MXNET. Keras offers quick and simple prototyping. TensorFlow.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

U-Next

DECEMBER 2, 2022

Data science is a field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. Data Science and Machine Learning Projects That Utilize R . Introduction .

Machine Learning 40

Machine Learning Data Science Programming Language Data Mining 40

Knowledge Hut

FEBRUARY 12, 2023

The job expects the candidates to possess in-depth knowledge of programming languages, statistical tools, data visualization, and applied mathematics. Advanced Level Jobs The experts with experience of more than 1-2 years qualify for advanced-level data science jobs in the USA.

Data Science 52

Data Science Computer Science Portfolio Certification 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data).

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Strong understanding of statistical techniques used to quantify the results of NLP algorithms. Past experience with utilizing NLP algorithms is considered an added advantage. Hands-on experience with cloud-based platforms such AWS, Azure.

Coding 52

Coding Project Deep Learning Algorithm 52

Knowledge Hut

SEPTEMBER 25, 2023

Here are all the abilities you need to become a Certified Data Analyst, from tool proficiency to subject knowledge: Knowledge of data analytics tools and techniques: You can gain better insights about your quantitative and qualitative data using a variety of tools.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

Knowledge Hut

SEPTEMBER 21, 2023

Around 80% of organizations I surveyed are utilizing cloud se­rvices, with a 21% surge in profit and a faster growth rate­ of 26%. LPA - INR 40 LPA Senior Software Engineer Mobile development, web development, algorithms INR 5.68 LPA - INR 20 LPA Data Engineer ETL tools, data pipelines, SQL, data warehousing INR 3.91

Cloud 52

Cloud Engineering Cloud Computing Certification 52

Silectis

JANUARY 3, 2021

Data Lineage Data lineage describes the origin and changes to data over time Data Management Data management is the practice of collecting, maintaining, and utilizing data securely and effectively. Data Migration The process of permanently moving data from one storage system to another.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JULY 23, 2021

But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Deep Learning algorithms can imitate the working of the human brain. It creates patterns and feeds on data to make machines eligible to reap decisions on their own.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40