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b'AI tools are getting more and more popular these days. With its current capabilities, what is its true role in the business space?\\n\\xa0\\nTune into this episode with Nelson Lynn, an expert in quantitative finance and machine learning. He discusses how machine learning is being applied to the real estate sector, from using data to build algorithms that can predict behaviors to leveraging transformers for more accurate predictions. Nelson shares his experiences in real estate investing and the importance of doing your research. He also talks about his best and worst investments, emphasizing the need for long-term horizons.\\xa0\\n\\xa0\\nLearn more about how AI and machine learning models revolutionize the real estate industry, and get advice on making smarter investments!\\n\\xa0\\n[00:01 - 08:11] Opening Segment\\nIntroducing Nelson to the show\\nHe runs a real estate fund and consults data science and machine learning for commercial real estate hedge funds\\nMachine learning can be applied in the real estate space and extrapolated into other industries\\n\\xa0\\n[08:12 - 15:54] Balancing Data with Human Experience in Real Estate\\nMachine learning is becoming more popular as computing gets cheaper and more data is available\\nCompanies like Brookfield use data to reverse engineer algorithms to predict future problem sets on properties, not in the original data set\\nQuantitative finance looks at numbers, and big companies have a lot of data to sift through\\nIntuition should still be used over what the algorithm tells us\\n\\xa0\\n[15:55 - 24:31] Optimizing Rental Rates with Chat GPT and Transformers\\nProfessionally managed companies can optimize rent more than mom-and-pop landlords\\nLarge language models like Chat GPT are better at pattern recognition and understanding context\\nThese models can help analyze what the value of a building should be or how much rent can be charged\\nThese will not entirely replace people, but they may hire fewer people or scale up due to faster and more accurate results\\n\\xa0\\n[24:32 - 29:17] Closing Segment\\nBest investment: Nelson\'s first property,\\nworst investment: buying FOMO into crypto\\nThe most important lesson learned: do your research and go against the crowd\\n\\nQuotes:\\n\\xa0\\n"The purpose of machine learning is not to replace humans; it\'s to make them do things faster." - Nelson Lin\\n\\xa0\\n"The only way to build large machine learning models is to need a lot of data. And so it\'s just like a handful of large firms who have access that are willing to share it." - Nelson Lin\\n\\nConnect with Nelson!\\nWebsite: www.subtlerealestate.com\\xa0\\n\\nInvest passively in multiple commercial real estate assets such as apartments, self-storage, medical facilities, hotels, and more through https://www.passivewealthstrategy.com/crowdstreet/\\n\\xa0\\nTrack your rental property\'s finances with Stessa. Go to www.escapingwallstreet.com.\\n\\xa0\\nJoin our Passive Investor Club to access passive commercial real estate investment opportunities.\\n\\xa0\\nLEAVE A REVIEW + help someone who wants to explode their business growth by sharing this episode or clicking here to listen to our previous episodes.'