Knowledge Hut

DECEMBER 29, 2023

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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

DECEMBER 26, 2023

The first and the essential skill you need to develop at the beginning of your journey is to gather basic knowledge about the fundamentals of Data Science, Artificial Intelligence, and Machine Learning. What is the difference between Supervised and Unsupervised Learning?

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Knowledge Hut

MARCH 20, 2024

Example 1 X [company's name] seeks a proficient AI engineer who understands deep learning, neuro-linguistic programming, computer vision, and other AI technologies. Typical roles and responsibilities include the following: Ability to create and evaluate AI models using neural networks, ML algorithms, deep learning, etc.

Engineering 52

Engineering NoSQL Programming Language Deep Learning 52

AltexSoft

FEBRUARY 11, 2023

machine learning and deep learning models; and business intelligence tools. If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JUNE 16, 2023

Artificial Intelligence Technology Landscape An AI engineer develops AI models by combining Deep Learning neural networks and Machine Learning algorithms to utilize business accuracy and make enterprise-wide decisions. New generative AI algorithms can deliver realistic text, graphics, music and other content.

Engineering 52

Engineering Deep Learning Software Engineer Software Engineering 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. Machine learning will link your work with data scientists, assisting them with statistical analysis and modeling. Step 4 - Who Can Become a Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52