Binghamton University INFO
Machine learning is the science of getting computers to make decisions without being explicitly programmed. This course provides a broad introduction to machine learning and its applications. It introduces students to the key insights behind different machine learning techniques and algorithms as well as an understanding of how and why they work. The course also discusses applications of machine learning and practical guidelines in applying machine learning techniques in real-world problems. Prerequisite: INFO 501 Inf Sys I Python & Data Mining. Co-Requisite: INFO 535 Applied Data Mining
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.