In the VP tube below, which tube represents a VP positive bacteria?
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Consider the function h = lambda x: x**2 * 4*x – 5 / x If we…
Consider the function h = lambda x: x**2 * 4*x – 5 / x If we use fsolve from scipy.optimize to find the x where h(x) = 0, with a starting guess of x0=0.01, what is the ouput we obtain?
Which of these is not an opening in the oropharynx?
Which of these is not an opening in the oropharynx?
Checking for missing values, outliers, and scaling the data…
Checking for missing values, outliers, and scaling the data are examples of
The major final product that results from the digestion of c…
The major final product that results from the digestion of carbohydrates is:
Consider the numbered lines below:1)def price(PMT, IY, g) 2)…
Consider the numbered lines below:1)def price(PMT, IY, g) 2) return PMT / (IY – g) 3) 4)g = np.linspace(0, 0.09, 21) 5)IY = 0.1 6)PMT = 10 7)PV = np.zeros_like(g) 8)for i in range(len(g)): 9) PV[i] = price(PMT, IY, g[i]) 10)plt.plot(g, PV) 11)plt.xlabel(‘Growth Rate’) 12)plt.ylabel(‘Perpetuity with Growth Price’);If we execute the code above, we receive an error. In which line lies the error?
The term used to describe the volume of air exchanged during…
The term used to describe the volume of air exchanged during normal inspiration and expiration is:
Assume we download the stock price of Tesla and compute its…
Assume we download the stock price of Tesla and compute its return using the command startdate = ‘2019-01-01’ enddate = ‘2021-01-01’ tesla = web.get_data_yahoo(“TSLA”, startdate, enddate)R_tesla = tesla[‘Adj Close’].pct_change().dropna() Which of the following commands is not a valid command in Python?
Adam and SGD are examples of
Adam and SGD are examples of
Consider the following code with numbered lines: 1)betai = n…
Consider the following code with numbered lines: 1)betai = np.array([-2, -1.5, -1, -0.5, 0., 0.5, 1, 1.5, 2]) # Features 2)ERi = np.array([-0.08, -0.06, -0.03, -0.01, 0.02, 0.04, 0.07, 0.1 , 0.12]) # Labels 3)hidden = tf.keras.layers.Dense(units=1, input_shape=[1]) 4)model = tf.keras.Sequential([hidden]) 5)loss = ‘mse’ 6)optimizer = ‘Adam’ 7)model.compile(loss=loss, optimizer=optimizer) 8)history = model.fit(betai, ERi, epochs=10000, verbose=False) 9)plt.plot(history.history[‘loss’]) 10)plt.xlabel(‘Number of Epochs’) 11)plt.ylabel(‘Loss’);In which of line does the training of the neural network takes place?