How the demand by corporations and individuals to turn single-family homes into rental units is pushing up home prices, making it more difficult for first-time homebuyers to purchase a house.  In this episode you'll learn: Why the United Nations is accusing certain countries and corporations of treating housing as a tradable financial commodity rather than a human right.Why Blackstone believes it is helping to solve the housing crisis by buying and renting single family homes and that the United Nations is wrong in its accusations.How the drive by corporations and individuals to own rental housing is pushing up home prices, but not necessarily rents.Why the U.S. has a chronic affordable housing shortage and what can be done about it. Thanks to Vistaprint and WIX for sponsoring the episode. For show notes and more information on this episode click here. [0:17] The concern of the U.N. with houses being treated as a commodity vs. a right. [2:27] The rise of rent-backed securities and the debated role of Blackstone. [8:20] The impact of single institutions on the national rent average. [9:59] House flipping vs. renting. [11:34] Buying a home to rent through a company. [12:56] David’s personal experience with being outbid on a house. [14:25] Why financialization is driving up home prices—not rent. [19:48] The housing crisis for those with low income. [22:53] Possible solutions for the rental housing crisis.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

How does artificial intelligence and machine learning work and what are some examples of how individual investors can use AI in their investing. In this episode you will learn: What is artificial intelligence, machine learning and deep learning.How is AI being used by different industries.How are AI models built with supervised and unsupervised learning.What are the components of a quantitative trading model and why it is insufficient to have an AI based stock ranking service.What are examples of AI based investment services and AI ETFs available to individuals.Why using AI to make investment decisions is so difficult. Thanks to Warby Parker and WIX for sponsoring the episode. For show notes and more information on this episode click here. [0:20] The two types of AI: rules-based & deep learning.[3:35] Some examples of artificial intelligence.[4:59] How machine learning systems work.[6:10] Supervised learning vs. unsupervised learning. [9:10] Training deep learning AI models.  [12:46] Complications with how deep learning models come up with their answers.[14:31] The role of AI in predicting interest rates.[17:16] Understanding the different factors and components of AI models when it comes to investing.[19:43] David’s personal experience with an AI-based investing service. [23:29] The Equbot and investing in ETFs.[25:46] The difficulties of using AI as an individual investor.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.