Knowledge Hut

DECEMBER 26, 2023

They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. NLP Engineers require excellent skills in statistical analysis, text representation, and experience with Machine Learning and Deep Learning frameworks and libraries.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Knowledge Hut

FEBRUARY 2, 2024

Skills Required HTML, CSS, JavaScript or Python for Backend programming, Databases such as SQL, MongoDB, Git version control, JavaScript frameworks, etc. While artificial intelligence is a broad domain, various subdomains like deep learning and artificial neural networks have abundant opportunities shortly.

Programming Language 98

Programming Language Amazon Web Services Java Cloud Computing 98

Striim

JUNE 11, 2024

How AI is Upleveling Fraud Detection to Safeguard FinServ Transactions Financial services organizations can leverage advanced machine learning (ML) algorithms and deep learning models to analyze vast amounts of transactional data in real time. The result is immediate, robust fraud detection capabilities.

MongoDB 52

MongoDB MySQL Utilities Algorithm 52

Knowledge Hut

MARCH 14, 2024

Natural Language Processing, Computer Vision, Machine Learning, Robotics, and applications in healthcare, finance, and autonomous systems. Key Technologies Programming languages (Java, Python, C++), databases (MySQL, MongoDB), web development tools, and more. Database Technologies: MySQL, Oracle, MongoDB, etc.

Computer Science 52

Computer Science Programming Language Electronics MongoDB 52

DareData

JANUARY 30, 2023

In the current age of readily available deep learning models and easy model training, the most valuable data scientists are those who are able to focus on the stability and scalability of their models, rather than just their performance on a single machine. Examples of relational databases include MySQL or Microsoft SQL Server.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

ProjectPro

JANUARY 19, 2022

Good knowledge of various machine learning and deep learning algorithms will be a bonus. Machine Learning and Deep Learning Understanding machine learning and deep learning algorithms aren’t a must for data engineers. For machine learning, an introductory text by Gareth M.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52