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ML - The way the world works - analyzing how things work

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

Quadcopter for emergency transport

16 mins; March 17, 2021

Stocks returns and energy source to hydrogen

18 mins; March 16, 2021

Sciencebox

13 mins; March 15, 2021

Recap for the week

15 mins; March 15, 2021

Pytorch and cnn - conv1d

8 mins; March 11, 2021

85 miilion jobs will be displaced to automation in the next five years

15 mins; March 10, 2021

Training strategies in ml for the masses

16 mins; March 09, 2021

Sentiment analysis

17 mins; March 08, 2021

Recap of weekly thoughts

12 mins; March 07, 2021

Pytorch

17 mins; March 05, 2021

Why ai and ml projects often fail

20 mins; March 04, 2021

Ab testing variables and goals. Why marketing

17 mins; March 03, 2021

Ab testing

15 mins; March 02, 2021

Web is dead and mobile is the new rage

15 mins; March 01, 2021

This weeks recap

43 mins; February 27, 2021

Heatmap

15 mins; February 26, 2021

Things and jobs are transforming. When things begin to speak

16 mins; February 25, 2021

Finding jobs in ml will be tough

11 mins; February 23, 2021

Kpi

17 mins; February 22, 2021

Thoughts on ai

42 mins; February 21, 2021

Olympics python analysis

17 mins; February 19, 2021

Get up early every morning for a year learning data skills

18 mins; February 18, 2021

Pandas dataframes

15 mins; February 17, 2021

Ai affect on jobs in the work place

18 mins; February 16, 2021

The role of multi variant general linear models

18 mins; February 15, 2021

General linear model

26 mins; February 12, 2021

Glm and ols

11 mins; February 11, 2021

Python lists and dictionaries

13 mins; February 10, 2021

Python coding using dictionary index and iterations and recursion and lookup

14 mins; February 09, 2021

Dag

13 mins; February 08, 2021

Data engineer

10 mins; February 04, 2021

Python and baseball stats

14 mins; February 03, 2021

Pythonic coding practices

9 mins; February 01, 2021

Airflow automation

9 mins; January 27, 2021

Pyspark transformation

10 mins; January 25, 2021

Recap for the week

43 mins; January 23, 2021

Warrior mentality and machines

13 mins; January 22, 2021

Thoughts

15 mins; January 21, 2021

Spark and datalakes

17 mins; January 20, 2021

Machine learning innovations and insights

45 secs; January 19, 2021

Python object oriented programming

17 mins; January 19, 2021

Thoughts

36 mins; January 16, 2021

Thoughts

20 mins; January 15, 2021

Kaggle

18 mins; January 14, 2021

Face recognition

15 mins; January 13, 2021

Image thresholding

16 mins; January 11, 2021

Getting a job during high inflation and low jobs

48 mins; January 09, 2021

Pyspark pipeline

18 mins; January 07, 2021

Pyspark onehotencoder

15 mins; January 06, 2021

Pyspark and the ml pipeline

17 mins; January 05, 2021

Pyspark

15 mins; January 04, 2021

Weekly recap

32 mins; January 02, 2021

Thorium reactor

20 mins; December 31, 2020

Random search cv and nlp topic classification

19 mins; December 31, 2020

How lenr will be used to create hydrogen for cars, homes and manufacturing

18 mins; December 29, 2020

Hyper parameter coefficients

16 mins; December 29, 2020

Lenr nuclear transformations explained

22 mins; December 28, 2020

Hyper parameter tuning

17 mins; December 28, 2020

How to produce hydrogen cheaply

9 mins; December 27, 2020

Hydrogen highway

35 mins; December 26, 2020

What are the directions in solar

10 mins; December 25, 2020

Fuel cell vehicles

7 mins; December 25, 2020

Real estate price predictor using random forest regressor

17 mins; December 24, 2020

Chocolate

19 mins; December 22, 2020

Candy

16 mins; December 21, 2020

Debt strategies to become debt free and wealth through saving

34 mins; December 19, 2020

Credit card default Ai is everywhere

18 mins; December 18, 2020

Keras and dense layers and activation functions

15 mins; December 17, 2020

Keras embedding and multi label output

18 mins; December 16, 2020

Thom Ives PhD talks about integrating brilliance

42 mins; December 15, 2020

Tensorflow

8 mins; December 15, 2020

k nearest neighbor

19 mins; December 14, 2020

Analyze West and New Magna Carter with Dr Nicholas Beecroft

47 mins; December 11, 2020

Thoughts on ufo data

15 mins; December 11, 2020

Thoughts on automation, bayesian predictions

12 mins; December 10, 2020

Django

15 mins; December 09, 2020

Principal component analysis

9 mins; December 08, 2020

Lstm for predicting time series data

17 mins; December 07, 2020

What is coming for the week

11 mins; December 07, 2020

This weeks recap

18 mins; December 05, 2020

Dimension reduction using variance and heat maps and correlation

11 mins; December 04, 2020

Tsne and pca dimension reduction

17 mins; December 03, 2020

Naive bayes classifier

7 mins; December 02, 2020

Todd Jochem talks about the road to cmu

37 mins; December 01, 2020

Nlp and vectorizing and name entity

8 mins; December 01, 2020

Nlp and ie integrating anaconda into Jupyter notes on ie

15 mins; November 30, 2020

Lean multi project work environment and design

17 mins; November 29, 2020

Leadership and new science - thoughts on cooperstive business organization

27 mins; November 28, 2020

Us iran sanctions

20 mins; November 27, 2020

Why the Russian economy was vulnerable during the subprime crisis

15 mins; November 26, 2020

Why would China oppose invasion by North Korea into South Korea

4 mins; November 26, 2020

Hiros analysis of the west

46 mins; November 25, 2020

Thoughts

5 mins; November 24, 2020

Nicholas Beecroft talks about the code of human nature

59 mins; November 23, 2020

Time series predictions

15 mins; November 23, 2020

This weeks recap

43 mins; November 21, 2020

Multi label text output classification

5 mins; November 20, 2020

Machine learning pipeline combining numbers and text

15 mins; November 19, 2020

Robots vs dinosaurs

16 mins; November 19, 2020

Thoughts on data design using data warehouses

19 mins; November 18, 2020

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ML - The way the world works - analyzing how things work

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