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.

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Algorithm Entertainment Healthcare Deep Learning 52

Knowledge Hut

MAY 9, 2024

According to Glassdoor, the average annual pay of a data scientist is USD 126,683. 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? They bridge the gap between data and software.

Data Science 52

Data Science Data Mining Data Architect Programming Language 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 between the data and derive original ideas.

Data Science 52

Data Science Portfolio Recruitment Education 52

Knowledge Hut

NOVEMBER 20, 2023

In this blog, I'll go into the interesting world of AI fraud detection, looking at how it works, its applications, benefits, and drawbacks. 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.

Insurance 52

Insurance Banking Machine Learning Algorithm 52

RandomTrees

JANUARY 29, 2024

In the rapidly evolving field of computer vision, data is the lifeblood that fuels innovation. Machine learning models rely heavily on large and diverse datasets to train and improve their ability to understand and interpret visual information. However, acquiring high-quality labeled data can be a costly and time-consuming endeavor.

Medical 52

Medical Retail Entertainment Datasets 52

Knowledge Hut

JULY 26, 2023

Veracity meaning in big data is the degree of accuracy and trustworthiness of data, which plays a pivotal role in deriving meaningful insights and making informed decisions. This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

MARCH 19, 2024

I will explore the top 10 AWS applications and their use cases in this blog. From website hosting to running complicated machine learning algorithms, AWS provides a lot of applications that allow businesses to innovate, scale, and digitally transform. What is AWS? You can enroll in an Am azon AWS course to learn more about AWS.

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AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

NOVEMBER 28, 2023

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. Your data should possess the maximum available information to perform meaningful analysis. What is a Data Science Dataset?

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Datasets Data Science Project Banking 96

AltexSoft

SEPTEMBER 19, 2023

Loyalty program data can also be part of CRM records, including information on membership tiers or rewards earned. External travel data sources and providers External data encompasses all types of information and datasets created outside a company and existing beyond its direct control, ownership, or management.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

ProjectPro

AUGUST 13, 2021

COVID-19 Dataset Analysis and Prediction 5. Predictive Analytics Predictive Analytics involves using data science methods to estimate the value of a quantity necessary for decision making. This application of machine learning algorithms has changed the game for many businesses. Classification System 4. Sentiment Analysis 5.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

DoorDash Engineering

OCTOBER 17, 2023

They subsequently adjust the experiment’s start date so that it does not include metric data collected prior to the bug fix. Internally, we apply a recursive algorithm to eliminate subsets of the data that contribute most to imbalance, similar to what an experimenter would do in the process of salvaging data from SRM.

Education 87

Education Kafka Algorithm Data Warehouse 87

U-Next

SEPTEMBER 29, 2022

According to the World Economic Forum’s Future of Jobs Report 2020 , these roles are the most in-demand across big data industries. There is an increased demand for data professionals. . Who Is a Data Scientist, and What Do They Do? . Data Analytics . Data Science . Criteria . Education .

Data Science 40

Data Science Data Analytics Data Mining Algorithm 40

Knowledge Hut

SEPTEMBER 25, 2023

Now, let's dive into the heart of this blog article: a comprehensive list of the best data analyst courses and certifications. What is Data Analyst Certification? In order to properly execute Data Analysis and come up with the optimal solution to a problem, you must have a solid background in mathematics and statistics.

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Certification Business Analyst Big Data Data Analysis 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. It converts data using various tools and technologies and builds data modeling solutions that offer helpful and valuable insights to solve business problems. It doesn't entail creating data visualizations.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Confluent

FEBRUARY 6, 2019

After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

Databand.ai

JULY 6, 2023

Data Anomaly: Types, Causes, Detection, and Resolution Helen Soloveichik July 6, 2023 What Is Data Anomaly? A data anomaly, also known as an outlier, is an observation or data point that deviates significantly from the norm, making it inconsistent with the rest of the dataset.

Datasets 52

Datasets Algorithm Machine Learning Data Analysis 52

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This is one of the major reasons behind the popularity of data science. An exploratory study of the given data set.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

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. Data relevance.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

ProjectPro

JANUARY 31, 2023

However, collecting and annotating large amounts of data might not always be possible, and it is also expensive and time-consuming. Overfitting occurs when an ML model yields accurate results for training examples but not for unseen data. Table of Contents What is Data Augmentation in Deep Learning?

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

ProjectPro

AUGUST 25, 2021

This blog introduces the critical differences that one encounters when anyone performs an analysis of logistic regression vs linear regression. Firstly, we introduce the two machine learning algorithms in detail and then move on to their practical applications to answer questions like when to use linear regression vs logistic regression.

Machine Learning 52

Machine Learning Algorithm Datasets Data Science 52

ProjectPro

NOVEMBER 18, 2021

Analysis of Big data also helps them understand new item sales, make decisions on discontinuing products, and the performance of brands. Walmart runs a backend algorithm that estimates this based on the distance between the customer and the fulfillment center, inventory levels, and shipping methods available.

Data Science 52

Data Science Project Food Pharmaceutical 52

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

AUGUST 16, 2021

FAQs on Machine Learning Projects for Resume Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning and Data Science have been on the rise in the latter part of the last decade. Quite similar to classification is clustering but with the minor difference of working with unlabelled data.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Knowledge Hut

DECEMBER 7, 2023

In this blog, I'll define the AI project life cycle and walk you through the steps, tools, and significance of the AI model lifecycle management process. Data Collection: Gather the necessary data that the AI model will use for learning and making predictions. Data Preprocessing: Prepare and clean the data.

Machine Learning 52

Machine Learning Algorithm Medical Government 52

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Netflix Tech

JULY 21, 2022

This is done by first elaborating on the dataset curation stage?—?specially Since memory management is not something one usually associates with classification problems, this blog focuses on formulating the problem as an ML problem and the data engineering that goes along with it. The dataset will thus be very biased/skewed.

Machine Learning 71

Machine Learning Datasets Big Data Data Pipeline 71

U-Next

AUGUST 26, 2022

Datasets are growing increasingly complicated due to an increase in the volume of data produced on the web. Searching in Data Structure enables the efficient retrieval of individual elements from a collection, such as a specific record from a database. Let’s learn about the difference in this blog.

Algorithm 40

Algorithm Data Utilities Data Science 40

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Netflix Tech

APRIL 26, 2022

To achieve this, we rely on Machine Learning (ML) algorithms. ML algorithms can be only as good as the data that we provide to it. This post will focus on the large volume of high-quality data stored in Axion?—?our The Iceberg table created by Keystone contains large blobs of unstructured data.

Metadata 75

Metadata Datasets Machine Learning Designing 75

ProjectPro

OCTOBER 20, 2021

If you are unsure, be vocal about your thought process and the way you are thinking – take inspiration from the examples below and explain the answer to the interviewer through your learnings and experiences from data science and machine learning projects. It will explain what an instance of the best-in-class answers would sound like.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

NOVEMBER 22, 2021

What's the difference between an RDD, a DataFrame, and a DataSet? RDDs contain all datasets and dataframes. If a similar arrangement of data needs to be calculated again, RDDs can be efficiently reserved. It's useful when you need to do low-level transformations, operations, and control on a dataset. Output- Q13.

Hadoop 52

Hadoop Python Datasets Metadata 52

U-Next

AUGUST 17, 2022

Data Engineers must be proficient in Python to create complicated, scalable algorithms. This language provides a solid basis for big data processing and is effective, flexible, and ideal for text analytics. Responsibilities of a Data Engineer. Data collecting, cleaning, and curation are all Data Engineering disciplines.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

ProjectPro

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? petabytes of unstructured data from 1 million customers every hour. Inkiru Inc.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

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. That’s why our blog focuses on Data Scientist roles and responsibilities in India.

Retail 52

Retail Data Science Computer Science Entertainment 52

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

NOVEMBER 7, 2016

This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing. Understanding the Hadoop architecture now gets easier!

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Hadoop Architecture IT Big Data 40