Data Science Dojo

MAY 24, 2024

Java is also widely used in big data technologies, supported by powerful Java-based tools like Apache Hadoop and Spark, which are essential for data processing in AI. Big Data Technologies With the growth of data-driven technologies, AI engineers must be proficient in big data platforms like Hadoop, Spark, and NoSQL databases.

Deep Learning 195

Deep Learning Deep Learning Machine Learning Machine Learning 195

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Mlearning.ai

MAY 23, 2023

Check out this course to build your skillset in Seaborn —  [link] Big Data Technologies Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks is becoming increasingly important as the volume and complexity of data continue to grow.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JANUARY 13, 2025

Key Skills Proficiency in programming languages such as Python or Java. Hadoop , Apache Spark ) is beneficial for handling large datasets effectively. Cloud Computing Skills Familiarize yourself with cloud platforms like AWS , Google Cloud , or Microsoft Azure to manage infrastructure and deploy AI models efficiently.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. These networks can learn from large volumes of data and are particularly effective in handling tasks such as image recognition and natural language processing. A solid foundation in mathematics enhances model optimisation and performance.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

IBM Journey to AI blog

JULY 6, 2023

Today, machine learning has evolved to the point that engineers need to know applied mathematics, computer programming, statistical methods, probability concepts, data structure and other computer science fundamentals, and big data tools such as Hadoop and Hive.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

DECEMBER 4, 2024

A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently. Gain Experience with Big Data Technologies With the rise of Big Data, familiarity with technologies like Hadoop and Spark is essential.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52