Building a Chatbot with Laravel and BotMan "Building a Chatbot with Laravel and Botman" is a hands on guide to building your own personal chatbot. " Learn More Accountant Laravel Package The Accountant composer package is a Laravel accountably package for your Eloquent models by developer Quetzy Garcia. Read More MyCLI: A MySQL CLI with …
Category: Root
Jan 05
Basic Matrix Operations:
Basic Matrix Operations: def matrix_multiplication ( m, n ): # Creates a list containing 5 lists, each of 8 items, all set to 0 o_row, o_col = len(m), len(n[0]); output_matrix = [[0 for x in range(o_row)] for y in range(o_col)] one_output_cell = 0 rowCount = 0 colCount = 0 temp = 0 for aRow in …
Jan 05
Basic Numpy Operations
Basic Numpy Operations import numpy as np a = np.arange(15).reshape(3, 5) print(a) print(a.shape) print(a.ndim) print(a.dtype.name) print(a.itemsize) print(a.size) print(type(a)) b = np.array([6, 7, 8]) print(b) type(b) #
Jan 05
Implement Gradient Descend:
" Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function. To find a local minimum of a function usinggradient descent, one takes steps proportional to the negative of the gradient (or approximategradient) of the function at the current point. Gradient descent – Wikipedia https://en.wikipedia.org/wiki/Gradient_descent " Gradient Descend # From …
Dec 30
International News: Stock Market melty, Part II: Theme of the Week
International News: Stock Market melty, Part II: Theme of the Week: Bloomberg There Is Logic Behind the Stock Market – Shira Ovide Ugly Markets Might Contaminate the U.S. Economy – Mohamed A. El-Erian Trump’s ‘Tremendous Buy’ Stock Market Isn’t a Bargain – Stephen Gandel The Market Swoon Isn’t All About Trump – Justin Fox Trump’s …
Dec 23
Market melty: Theme of the Week
From Bloomberg Opinion on Stock Market News . Junk Bonds Endure an Awful Day But Live to Tell About It – Brian Chappatta Mnuchin Forgot to Check His Figures on Stock Volatility – Nir Kaissar Fed’s No-Win: Balancing Growth and Market Fragility – Mohamed A. El-Erian A Financial Canary in a Coal Mine – John …
Dec 21
Different types of Distance for ML Algorithms
Manhattan, Cosine, Ln Form # http://dataaspirant.com/2015/04/11/five-most-popular-similarity-measures-implementation-in-python/ # Manhattan def manhattan(x, y): return sum( abs(a-b) for a, b in zip(x,y)) d = manhattan([5,10], [30,20]) print(d) #—— Cosine Distance import math def square_rooted(x): return math.sqrt(sum([a * a for a in x])) def cosine_distance(x, y): numerator = sum ( a * b for a, b in zip(x, y …
