O'Reilly Media

SEPTEMBER 19, 2023

Cloud computing? It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” And Hadoop rolled in.

Hadoop 135

Hadoop Algorithm ML ML 135

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

Smart Data Collective

NOVEMBER 8, 2020

This will enable you to leverage the right algorithms to create good, well structured, and performing software. Spark outperforms old parallel systems such as Hadoop, as it is written using Scala and helps interface with other programming languages and other tools such as Dask. Learn Cloud Computing.

Data Engineering 104

Data Engineering Data Engineering Data Engineer Data Engineering 104

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

NOVEMBER 28, 2024

Summary: The blog discusses essential skills for Machine Learning Engineer, emphasising the importance of programming, mathematics, and algorithm knowledge. Understanding Machine Learning algorithms and effective data handling are also critical for success in the field. Below, we explore some of the most widely used algorithms in ML.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

JANUARY 13, 2025

Machine Learning Engineer Machine Learning Engineers develop algorithms and models that enable machines to learn from data. Strong understanding of data preprocessing and algorithm development. They explore new algorithms and techniques to improve machine learning models. Key Skills Experience with cloud platforms (AWS, Azure).

AI 52

AI AI Machine Learning Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

Machine learning works on a known problem with tools and techniques, creating algorithms that let a machine learn from data through experience and with minimal human intervention. Deep learning algorithms are neural networks modeled after the human brain. Python is the most common programming language used in machine learning.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70