Pickl AI

JUNE 5, 2025

Machine Learning & AI: Hands-on experience with supervised and unsupervised algorithms, deep learning frameworks (TensorFlow, PyTorch), and natural language processing (NLP) is highly valued. Big Data: Apache Hadoop, Apache Spark. Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

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. Natural Language Processing (NLP) NLP involves programming computers to process and analyze large amounts of natural language data.

Deep Learning 195

Deep Learning Deep Learning Machine Learning Machine Learning 195

Pickl AI

DECEMBER 25, 2024

Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently. Techniques like Natural Language Processing (NLP) and computer vision are applied to extract insights from text and images. Together, these tools enable Data Scientists to tackle a broad spectrum of challenges.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

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

DECEMBER 2, 2024

Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease. Data Processing Frameworks Processing frameworks are essential for analysing large datasets efficiently.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease. Data Processing Frameworks Processing frameworks are essential for analysing large datasets efficiently.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

DagsHub

OCTOBER 23, 2024

Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. Data Processing Tools These tools are essential for handling large volumes of unstructured data. They assist in efficiently managing and processing data from multiple sources, ensuring smooth integration and analysis across diverse formats.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52