Knowledge Hut

MARCH 28, 2024

Role Level: Intermediate Responsibilities Develop machine learning pipelines using Azure Machine Learning service.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

DECEMBER 26, 2023

Data Analytics is a process where data is inspected, transformed and interpreted to discover some useful bits of information from all the noise and make decisions accordingly. It forms the entire basis of the social media industry and finds a lot of use in IT, finance, hospitality and even social sciences. Why data analytics?

Certification 52

Certification Data Analytics BI AWS 52

Knowledge Hut

NOVEMBER 27, 2023

These datasets offer opportunities to analyze, manipulate, and extract insights from real data, preparing you for real-world scenarios. Building a portfolio of data science projects: A GitHub repository or a personal website is great way to showcase your data science projects.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Snowflake

FEBRUARY 13, 2023

GIST Impact GIST Impact is a leading provider of impact data and intelligence, harnessing the power of impact economics and technology to allow businesses to discover the full value of contributions they are making to the world. As a leading provider of property data, Black Knight delivers highly accurate and actionable property intelligence.

Insurance 52

Insurance Banking Government Retail 52

Knowledge Hut

OCTOBER 27, 2023

Microsoft created Power BI, a business analytics tool that enables users to visualize and analyze data from various sources quickly and interactively. It provides a wide range of features and functionalities, including data preparation, data modeling, data visualization, and collaboration tools.

BI 52

BI Project Datasets Healthcare 52

U-Next

AUGUST 11, 2022

Data Analysts: With the growing scope of data and its utility in economics and research, the role of data analysts has risen. Hence, Data Analysts require expertise in more than just spreadsheets, like SQL, Python, Tableau, Power BI, business intelligence, etc.

Medical 52

Medical Computer Science Scala Machine Learning 52

ProjectPro

DECEMBER 16, 2021

If you look at the machine learning project lifecycle , the initial data preparation is done by a Data Scientist and becomes the input for machine learning engineers. Later in the lifecycle of a machine learning project, it may come back to the Data Scientist to troubleshoot or suggest some improvements if needed.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

U-Next

SEPTEMBER 28, 2022

Precise, objective information enables us to make better judgments and take effective measures which affect corporate finances. . To effectively measure against KPIs, businesses must organize and arrange the appropriate data sources to extract the required data and produce metrics depending on the present status of the business. .

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

ProjectPro

JANUARY 31, 2023

Big Data Architect Interview Questions and Answers Following are the interview questions for big data architects that will help you ace your next job interview. Explain the data preparation process. Data preparation is one of the essential steps in a big data project. Steps for Data preparation.

Big Data 52

Big Data Hadoop AWS Relational Database 52

U-Next

SEPTEMBER 9, 2022

Recent statistics indicate that data engineering is one of the technology fields with the highest growth, with an increase in job postings of over 88.3 The IT, finance, insurance, and related professional services account for 5% of all data analytics and Data Science positions, according to the most recent reports from Forbes. .

Data Science 40

Data Science Computer Science Machine Learning Data Cleanse 40

ProjectPro

JANUARY 15, 2021

100+ Machine Learning Datasets for Data Science and Machine Learning Practitioners Best Retail Datasets for Machine Learning Best Healthcare Datasets for Machine Learning Best Banking and Finance Machine Learning Datasets Social Media Datasets for Machine Learning Crime Datasets for Machine Learning Next Steps What is a dataset in machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

JANUARY 31, 2023

Let's dive into the world of data augmentation, which addresses this challenge by artificially increasing the size of the training data by applying transformations to the existing data, With a humongous amount of data generated every second, collecting qualitative and relevant data to train machines has become tedious.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

ProjectPro

JULY 17, 2021

Data Science is integral to the job responsibilities assigned to an AI Engineer. The job of an AI Engineer comes with many responsibilities, including data preparation , AI programming, algorithm design, data analytics, and a lot more. Machine Learning is one of the most important technologies in AI.

Engineering 40

Engineering Machine Learning Data Science Algorithm 40

ProjectPro

AUGUST 30, 2022

Evolution of Machine Learning Applications in Finance : From Theory to Practice Algorithms used for Loan Prediction using Machine Learning Historically, lending risk prediction has used statistical methods, including Linear Discriminant Analysis and Logistic Regression. UCI German Credit Risk Dataset.

Machine Learning 52

Machine Learning Coding Project Datasets 52

ProjectPro

MAY 20, 2015

Professionals aspiring to earn high-paid big data jobs must have a look at these top 6 big data companies to work for in 2015: 1) InsightSquared, Cambridge, MA InsightSquared a big data analytics company experiencing triple digit annual growth in revenues, employees and customers.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

AUGUST 11, 2016

R programming language is the preferred choice amongst data analysts and data scientists because of its rich ecosystem catering to the essential ingredients of a big data project- data preparation , analysis and correlation tasks. It is said to be one of the most versatile data visualization packages.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

DECEMBER 22, 2016

The various steps involved in the data analysis process include – Data Exploration – Having identified the business problem, a data analyst has to go through the data provided by the client to analyse the root cause of the problem. Stock prices are also affected over time. 21) What is an ROC curve?

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52