ProjectPro

JUNE 6, 2025

Good knowledge of various machine learning and deep learning algorithms will be a bonus. Depending on the company you want to work with, you will be asked to learn them deeply. Machine Learning and Deep Learning Understanding machine learning and deep learning algorithms aren’t a must for data engineers.

Data Engineering 94

Data Engineering Data Engineer Engineering Amazon Web Services 94

ProjectPro

JUNE 6, 2025

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Tensorflow: Tensorflow is an already renowned name in the machine learning community. It is used widely in deep learning models and packs many useful Machine Learning functions.

AWS 49

AWS Amazon Web Services Google Cloud Cloud Storage 49

ProjectPro

JANUARY 19, 2022

Good knowledge of various machine learning and deep learning algorithms will be a bonus. Depending on the company you want to work with, you will be asked to learn them deeply. Machine Learning and Deep Learning Understanding machine learning and deep learning algorithms aren’t a must for data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

MAY 23, 2024

MongoDB: MongoDB is a cross-platform, open-source, document-oriented NoSQL database management software that allows data science professionals to manage semi-structured and unstructured data. John Hunter introduced this multi-platform data visualization library in the year 2002. It also supports visualization features.

Data Science 52

Data Science MongoDB Programming Language BI 52

ProjectPro

SEPTEMBER 6, 2021

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Tensorflow: Tensorflow is an already renowned name in the machine learning community. It is used widely in deep learning models and packs many useful Machine Learning functions.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52