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2:27
NumPy Explained for ML: The Python Library Every AI Developer Needs 🐍🔥
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➡️ Machine Learning from Scratch, part 42: why GPU and not CPU. A neural network spends almost all of its time multiplying numbers and adding them up. In every layer each neuron receives the whole input vector, multiplies each number by its own weight and adds them up, so with the weights of all neurons as the rows of one table, the layer becomes one matrix times the input vector. In training a whole mini batch goes in at once, every layer becomes a matrix times a matrix, and the backward pass f
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➡️ Part 30 of Quantitative Finance From Scratch: the Black-Scholes formula. A call option is the right to buy a stock at a fixed price (the strike) on a fixed date. Fischer Black and Myron Scholes published the formula in 1973 (Journal of Political Economy), Robert Merton derived it another way, and in 1997 Scholes and Merton received the Nobel Memorial Prize in Economic Sciences. Black had died in 1995. C = S N(d1) - K e^(-rt) N(d2), with d1 = [ln(S/K) (r σ²/2) t] / (σ √t) and d2 = d1 - σ √t. S
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