Data Science Dojo

MAY 24, 2024

They work at the intersection of various technical domains, requiring a blend of skills to handle data processing, algorithm development, system design, and implementation. Machine Learning Algorithms Recent improvements in machine learning algorithms have significantly enhanced their efficiency and accuracy.

AI 195

AI AI Deep Learning Deep Learning 195

IBM Journey to AI blog

MARCH 21, 2024

GPUs (graphics processing units) and TPUs (tensor processing units) are specifically designed to handle complex mathematical computations central to AI algorithms, offering significant speedups compared with traditional CPUs. Additionally, using in-memory databases and caching mechanisms minimizes latency and improves data access speeds.

Apache Hadoop 79

Apache Hadoop AI AI Natural Language Processing 79

Pickl AI

DECEMBER 2, 2024

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). For example, financial institutions utilise high-frequency trading algorithms that analyse market data in milliseconds to make investment decisions.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). For example, financial institutions utilise high-frequency trading algorithms that analyse market data in milliseconds to make investment decisions.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

SEPTEMBER 17, 2024

In addition to traditional structured data (like databases), there is a wealth of unstructured and semi-structured data (such as emails, videos, images, and social media posts). This section will highlight key tools such as Apache Hadoop, Spark, and various NoSQL databases that facilitate efficient Big Data management.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 18, 2023

SQL: Mastering Data Manipulation Structured Query Language (SQL) is a language designed specifically for managing and manipulating databases. While it may not be a traditional programming language, SQL plays a crucial role in Data Science by enabling efficient querying and extraction of data from databases.

Data Science 52

Data Science SQL Data Scientist Python 52

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52