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The Life and Times of Sergeant José M. López
World War II was a turning point in US history, and its impact on Latinas and Latinos was life changing. Women served in the military, worked in civilian and war-related factories, and toiled in the fields. Nearly half-million men served in the armed forces from throughout the country, and thousands were recognized for their courage. Twelve received the highest commendation, the Congressional Medal of Honor. This book examines one, Jose M. Lopez, who was born into abject poverty in Mexico and immigrated at a young age to the Rio Grande Valley and became one of the most decorated soldiers in history. Singlehandedly, Lopez prevented hundreds of German soldiers German and a Tiger Tank from attacking his company. He became a national hero yet returned to the segregation and discrimination he had left. Lopez and his military brethren realized that if they were American enough to fight for their country, they were American enough to be treated equally in it. To achieve this equality, court decisions, civil rights legislation, and veteran’s organizations became part of postwar agenda. Latinos had paid their dues and expected respect in their country.
Python for Probability, Statistics, and Machine Learning
This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. All the figures and numerical results are reproducible using the Python codes provided. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting theoretical concepts to concrete implementations. Detailed proofs for certain important results are also provided. Modern Python modules like Pandas, Sympy, Scikit-learn, Tensorflow, and Keras are applied to simulate and visualize important machine learning concepts like the bia...
