Data Science Dojo

JANUARY 31, 2023

Data types are a defining feature of big data as unstructured data needs to be cleaned and structured before it can be used for data analytics. In fact, the availability of clean data is among the top challenges facing data scientists.

Big Data 370

Big Data Big Data Data Mining Data Mining 370

Smart Data Collective

DECEMBER 19, 2021

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process.

Python 141

Python Machine Learning Machine Learning Algorithm 141

Analytics Vidhya

APRIL 13, 2023

The job opportunities for data scientists will grow by 36% between 2021 and 2031, as suggested by BLS. It has become one of the most demanding job profiles of the current era.

Data Science 336

Data Science Data Scientist Analytics Analytics 336

Analytics Vidhya

DECEMBER 27, 2023

Introduction Data annotation plays a crucial role in the field of machine learning, enabling the development of accurate and reliable models. In this article, we will explore the various aspects of data annotation, including its importance, types, tools, and techniques.

Machine Learning 334

Machine Learning Machine Learning Analytics Analytics 334

Smart Data Collective

OCTOBER 17, 2022

Its underlying Singer framework allows the data teams to customize the pipeline with ease. It detaches from the complicated and computes heavy transformations to deliver clean data into lakes and DWHs. . Algorithms make predictions by using statistical methods and help uncover several key insights in data mining projects.

Data Pipeline 145

Data Pipeline Data Warehouse ETL Data Lakes 145

Pickl AI

MAY 29, 2024

Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation. Data Visualisation Visualisation of data is a critical skill.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

MARCH 12, 2023

Data analysis aims to conclude meaning from unprocessed data to respond to inquiries, resolve issues, and enhance decision-making. Furthermore, looking at data from many sources, including surveys, experiments, and observational studies, may be necessary. The post Use of Excel in Data Analysis appeared first on Pickl AI.

Data Analysis 52

Data Analysis Data Analysis Data Analyst Power BI 52