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15 BEST Books On A.I.

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Get LIFE 3.0 Audiobook for free: https://www.alux.com/freebook Buy it on Amazon: https://amzn.to/2I4CCP0 Disclaimer: Signing up for Audible will result in financial compensation for Alux Inc which in turn helps the channel. Books we show in the video: 1. Life 3.0 by Max Tegmark; https://amzn.to/2I4CCP0 Which is the best book for Artificial Intelligence?


Manuel Amunategui

#artificialintelligence

Welcome to this channel, here I talk about tech, data science, personal and professional peak performance, hacks, and the things that surprise me. I've been in the tech industry for over 20 years and almost half of that as a data scientist. I have a few books on Amazon and classes on Udemy - so thank you so much for being a part of this. Be a student for life and keep discovering things every day! My books on Amazon: The Little Book of Fundamental Indicators: Hands-On Market Analysis with Python: Find Your Market Bearings with Python, Jupyter Notebooks, and Freely Available Data: https://amzn.to/2DERG3d


Walkthrough of the dummyVars function from the {caret} package: Machine Learning with R

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Walkthrough of the dummyVars function from the {caret} package: Machine Learning with R MORE: Signup for my newsletter and more: http://www.viralml.com My books on Amazon: The Little Book of Fundamental Indicators: Hands-On Market Analysis with Python: Find Your Market Bearings with Python, Jupyter Notebooks, and Freely Available Data: https://amzn.to/2DERG3d Create Income Streams with Online Classes: Design Classes That Generate Long-Term Revenue: https://amzn.to/2VToEHK


Finding Patterns and Outcomes in Time Series Data - Hands-On with Python

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Let's analyze time-series data and assign outcome variables depending on pattern types. If you are looking to model raw time series for classification, this video is for you. My books on Amazon: The Little Book of Fundamental Indicators: Hands-On Market Analysis with Python: Find Your Market Bearings with Python, Jupyter Notebooks, and Freely Available Data: https://amzn.to/2DERG3d Create Income Streams with Online Classes: Design Classes That Generate Long-Term Revenue: https://amzn.to/2VToEHK


Machine Learning in Python: Principal Component Analysis (PCA) for Handling High-Dimensional Data

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Machine Learning in Python: Principal Component Analysis (PCA) for Handling High-Dimensional Data In this video, I will be showing you how to perform principal component analysis (PCA) in Python using the scikit-learn package. PCA represents a powerful learning approach that enables the analysis of high-dimensional data as well as reveal the contribution of descriptors in governing the distribution of data clusters. Particularly, we will be creating PCA scree plot, scores plot and loadings plot. This video is part of the [Python Data Science Project] series. If you're new here, it would mean the world to me if you would consider subscribing to this channel.