ML - The way the world works - analyzing how things work
David Nishimoto
Machine learning is the most important technological breakthrough in the 21st century. Listen to my views on the future of machine learning. Code demonstrations on YouTube under my channel David Nishimoto
Episodes
Mentioned books
Nov 12, 2021 • 5min
Accident prediction
Thoughts
Nov 6, 2021 • 31min
Vr1 arcade virtual realty and ai
Ai will improve performance
Oct 30, 2021 • 43min
Weekly recap
Thoughts
Oct 29, 2021 • 3min
Amazon lex
Voice to text nlp
Oct 28, 2021 • 17min
Ai analytics and big data for oil and gas
big data and data analytics in oil. Current offshore drilling platforms have about 80,000 sensors, which are expected to generate 15 petabytes of data during the lifetime of the platform
Oct 26, 2021 • 14min
Spacex
Thoughts on why Mars is a dream
Oct 16, 2021 • 6min
Bmw x7 Ai navigation system
Ai enhances the driving experience
Oct 15, 2021 • 7min
BMW X7 Ai will change they way the world works as we expect Ai functionality from things
Expectations
Oct 13, 2021 • 10min
Why make your internet customers wait 30 minutes for a service agent when you could use ai
Thoughts about ai for completing tasks
Oct 9, 2021 • 36min
Endica topical search
Lexalytics solves understanding text. Lexalytics analyzes text using its engine called salience. Lexalytics uses wikipedia for categorization. Text analytics include extracting information from content. Lexalytics uses the data to create predictive models. It also can interpret and respond to queries.
Endeca built a search engine that can analyze data either structured or non-structured data. Endeca had success in the commerce world: brand, price ranges, features until you find the product desired. Endeca summerizes the unstructured text and categorizes it into hierarchies. Endeca expanded to data warehouse, social media content, and crms. There is more data to be analyzed today and endeca wants to be positioned to be the tool for analyzing it. Social data is being combined with crm, datawarehouse, ecommerce and web, and hr data.
Intelligence space: social conversations are being analyzed by endeca to understanding what people are saying about events. Police are using social conversations for content and crime identification and event analysis. terrorist incidences and what people are saying about those incidences.
Sentiment: social conversations are being analyzed for sentiment about nato events. Traffic is analyzed and sentiment is analyzed by time. 60 attributes are being collected and analyzed and the tweet locations are collecting and mapped to a region.
