Applied Data Science

AUGUST 2, 2021

They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

Data Science 130

Data Science Data Scientist ML ML 130

Data Science Dojo

JULY 3, 2024

Statistics : Fundamental statistical concepts and methods, including hypothesis testing, probability, and descriptive statistics. Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. Concepts such as probability distributions, hypothesis testing , and Bayesian inference enable ML engineers to interpret results, quantify uncertainty, and improve model predictions.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Dataconomy

MAY 2, 2023

Additionally, statistics and its various branches, including analysis of variance and hypothesis testing, are fundamental in building effective algorithms. Additionally, expertise in big data technologies, database management systems, cloud computing platforms, problem-solving, critical thinking, and collaboration is necessary.

ML 110

ML ML Machine Learning Machine Learning 110

Pickl AI

SEPTEMBER 23, 2024

AI is making a difference in key areas, including automation, language processing, and robotics. Natural Language Processing: NLP helps machines understand and generate human language, enabling technologies like chatbots and translation.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52