8.11 c) Dui aan watter tabel-eienskap gebruik sal word om die volgende uitkoms te verseker: Kies jou antwoord uit die aftreklysie. Die vanne moet altyd in hoofletters vertoon word [KiesEienskap] (1)

  Sommige van die personeel wil programme vir hul tablette koop.  9.9 Maak dit saak of hulle apps vir hul tablette in die Google Play Store of in die Apple App Store koop, of kan hulle net die goedkoopste een koop? Gee ‘n rede vir jou antwoord. (2) 9.10 Die burgemeester het jou hulp nodig om ‘n lêer na ander gebruikers uit te voer (export) sodat hulle dit op hul rekenaars kan gebruik wat ander tipes sagteware op hul rekenaars gelaai het. Verduidelik aan hom wat die term uitvoer (export) beteken. (2)  9.11 Gee TWEE redes waarom jy die gebruik van sensors sou aanbeveel om die waterverbruik by huiseienaars / gemeenskapslede te meet. (2) 

Which of the following options represent the transformation applied by a neuron to its inputs?

QUESTION 10 10.1 Simplify by collecting like terms:   10.1.1 

GRAND TOTAL [70] NEXT STEPS: Click on “SUBMIT QUIZ” In the lower-right corner, click on “NEXT” until you find the “UPLOAD QUIZ”. IMMEDIATELY start your UPLOAD QUIZ. Use the Upload quiz to submit your answers as a single PDF file. TAKE NOTE: There is a time limit on the upload quiz. You must submit your PDF document within 15 minutes.

Consider the following stock price simulation using TensorFlow. import tensorflow as tf tf.random.set_seed(0) # Stock parameters r = tf.constant(0.01) sigma = tf.constant(0.3) S0 = tf.constant(100.0) K = tf.constant(100.0) # Time discretization T = tf.constant(1.0) N = tf.constant(201.0) # Number of steps to split T dt = tf.constant(T / (N – 1)) N_int = tf.cast(N, dtype=tf.dtypes.int32) # Tranform the constant N into an int32 type. t = tf.linspace(0.0, T, N_int) # Simulating the normal shocks z = tf.random.normal(shape=[N_int – 1], mean=0., stddev=1., dtype=tf.dtypes.float32) z0 = tf.constant(0.0, shape=[1]) # We need to pass the shape here to avoid an error when concatenating z0 and z. z = tf.concat([z0, z], axis=0) # Construct the Brownian Motions Wt = tf.math.cumsum(z) * tf.sqrt(dt) lnSt = TO BE FILLED St = tf.math.exp(lnSt) StWhat should I replace TO BE FILLED with to get the desire result?

1.1 Watter SVE sal die beste wees as video-redigering gedoen moet word? (1)

If a person is dying, the CNA should ask if they would like to donate their organs.

The Texas Revolution began as a movement for Texas’s independence from Mexico as soon as Santa Anna took over as dictator

What is the approximate value of the following expression if you implement it in Python?