MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 12m | Size: 191.6 MB
NumPy provides the numerical backend for nearly every scientific or technical library for Python. Many advanced data science and machine learning libraries require data to be in the form of NumPy arrays before it can be processed. In this course, instructor Terezija Semenski gives you a closer look at advanced features in NumPy and MatDescriptionlib. MatDescriptionlib is the most popular library for Descriptionting with NumPy. Terezija steps you through the basics of Descriptionting functions and implementing figures with MatDescriptionlib, then goes over advanced commands and Descriptions. She introduces universal functions in NumPy, as well as strides, structure arrays, dates, and times. Terezija also covers basic linear algebra capabilities that you can apply in NumPy, including decomposition, polynomial mathematics, and linear regression

https://www.linkedin.com/learning/numpy-essential-training-2-matDescriptionlib-and-linear-algebra-capabilities/

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