Knowledge Hut

MAY 2, 2024

According to the marketanalysis.com report forecast, the global Apache Spark market will grow at a CAGR of 67% between 2019 and 2022. billion (2019 – 2022). You can view the same data as both graphs and collections, transform and join graphs with RDDs efficiently, and write custom iterative graph algorithms using the Pregel API.

Scala 96

Scala Hadoop Datasets Java 96

Knowledge Hut

JANUARY 18, 2024

For most of the tech giants around the globe, these terminologies, along with their respective skill sets, fall into the top priority requirements amongst their recruitments and look out for Data Science professionals. Experts have also suggested that, by the year 2030, AI and Data Science will see a 31.4

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

U-Next

DECEMBER 2, 2022

In 2019, Python was the fastest-growing major programming language. . Python has several benefits for Data Scientists and Machine Learning experts. Python is also well suited for data wrangling and exploratory data analysis with several powerful libraries such as NumPy, pandas, and scikit-learn. .

Machine Learning 40

Machine Learning Data Science Python Programming Language 40

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

Knowledge Hut

DECEMBER 21, 2023

Here are the different job opportunities in the field of data engineering. Data Engineer / Big Data Engineer Data engineers create and test flexible Big Data ecosystems for businesses to run their algorithms on reliable and well-optimized data platforms.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

JANUARY 15, 2021

For a machine learning model to perform different actions, two kinds of datasets are required – Training Dataset - The data that is fed into the machine learning algorithm for training. Test Dataset or Validation Dataset – The data that is used to evaluate and test that the machine learning model is interpreting accurately.

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

APRIL 2, 2015

Retail Big Data Analytics Market is anticipated to grow from $1.8 billion dollars in 2019. Retail Analytics truly started with Target having figured out, quite early on – that data analytics can take the consumer buying experience to a whole other level. billion in 2014 to $4.5

Retail 40

Retail Hadoop Big Data Data Mining 40