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The language used throughout the course, in both instruction and assessments.
The language used throughout the course, in both instruction and assessments.
Machine Learning Python refers to the use of the Python programming language in the field of machine learning. Python is a popular choice due to its simplicity and large community. It offers various libraries and frameworks like Scikit-Learn, TensorFlow, PyTorch, and Keras that make it easier to develop machine-learning models. Building machine-learning Python skills involves learning Python programming, understanding machine-learning algorithms, and gaining proficiency in using these libraries and frameworks. This can be achieved through various online courses, tutorials, and hands-on projects.‎
Data Scientist: They use machine learning to analyze large amounts of raw data and convert them into actionable insights.
Machine Learning Engineer: They design and build machine learning systems, conduct software tests, and implement machine learning algorithms.
AI Engineer: They work on complex AI models using machine learning and deep learning.
Data Analyst: They use machine learning to interpret complex data and help businesses make decisions.
Research Scientist: They apply machine learning in scientific research to analyze and interpret complex data.
Business Intelligence Developer: They use machine learning to analyze complex business data and provide insights.
Big Data Engineer/Architect: They work with large amounts of data and use machine learning to analyze and interpret it.
Quantitative Analyst: They use machine learning in financial institutions to identify profitable investment opportunities and risks.
Computer Vision Engineer: They use machine learning to develop systems that can "understand" images and videos.
NLP Scientist: They use machine learning to create systems that can understand human language.
Robotics Engineer: They use machine learning to design and build intelligent and autonomous robots.
To get started with Machine Learning using Python on Coursera: