Duration: 6h 13m | Video: 1280x720 30fps | Audio: AAC, 48 kHz, 2ch | Size: 1.34 GB
Genre: eLearning | Language: English
Calculus for Machine Learning LiveLessons introduces the mathematical field of calculus—the study of rates of change—from the ground up. It is essential because computing derivatives via differentiation is the basis of optimizing most machine learning algorithms, including those used in deep learning such as backpropagation and stochastic gradient descent. Through the measured exposition of theory paired with interactive examples, you'll develop a working understanding of how calculus is used to compute limits and differentiate functions. You'll also learn how to apply automatic differentiation within the popular TensorFlow 2 and PyTorch machine learning libraries. Later lessons build on single-variable derivative calculus to detail gradients of learning (which are facilitated by partial-derivative calculus) and integral calculus (which determines the area under a curve and comes in handy for myriad tasks associated with machine learning).
Skill Level