Fdi --- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Fdi --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Why higher bond rates attract foreign direct investment but it does not create lower unemployment

Outliers--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Outliers --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Anomaly detection - Local outlier detection part 3

Deflation economics caused from the Ukraine war https://www.reuters.com/plus/could-the-euro-collapse--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Deflation economics caused from the Ukraine war <a href="https://www.reuters.com/plus/could-the-euro-collapse" rel="nofollow" target="_blank">https://www.reuters.com/plus/could-the-euro-collapse</a> --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

The euro crisis of 2022

Fed interest rate policy --- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Fed interest rate policy --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Housing price predictions and foreign investment trends and fed interest rate policy and election yr

Follow the data--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Follow the data --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Why ahl84001 does not prove conclusively life on mars

Unsupervised learning--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Unsupervised learning --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Anomaly detection - Finding knn outliers in data part 3

Billions of dollars at risk in the bank failure--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Billions of dollars at risk in the bank failure --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Svg fails and congress fails to blame the fed for raising interest rates so fast

The central bank has been keen to show it is not financing the government's budget deficit To do this, it uses the debt-to-GDP ratio, which is the latest measure of its efforts to wean the economy off its addiction to debt But even if it is trying to stop the borrowings, it cannot do that overnight, especially not with so much debt to service The central bank can try to push up the interest rate it charges banks to borrow from it This is called repo  or repurchase operations But the repo rate is generally not much higher than the government bond yield, which is why the latter is the true measure of the central bank's write-downs So, if the 10-year government bond yield goes up, the central bank is having to buy more bonds to keep injecting money into the banking system The central bank cannot simply raise the rate it charges banks to borrow from it as there is a risk of savers dumping their money into the banking system because of the higher interest rate And that is why it has been pushing up the repo rate, which is a less risky measure The central bank has also been buying foreign currencies from the market to keep the yuan stable The 10-year government bond yield is also a reflection of sentiment on the mainland  If investors are confident about the economy, they will demand a higher yield for the bonds they lend to the government An increase in the yield is also a way of showing how much investors are not convinced by the central bank's efforts to stabilise the yuan If the central bank is losing the battle to stabilise the yuan, investors will demand a higher return to lend money to the government --- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

The central bank has been keen to show it is not financing the government's budget deficit To do this, it uses the debt-to-GDP ratio, which is the latest measure of its efforts to wean the economy off its addiction to debt But even if it is trying to stop the borrowings, it cannot do that overnight, especially not with so much debt to service The central bank can try to push up the interest rate it charges banks to borrow from it This is called repo  or repurchase operations But the repo rate is generally not much higher than the government bond yield, which is why the latter is the true measure of the central bank's write-downs So, if the 10-year government bond yield goes up, the central bank is having to buy more bonds to keep injecting money into the banking system The central bank cannot simply raise the rate it charges banks to borrow from it as there is a risk of savers dumping their money into the banking system because of the higher interest rate And that is why it has been pushing up the repo rate, which is a less risky measure The central bank has also been buying foreign currencies from the market to keep the yuan stable The 10-year government bond yield is also a reflection of sentiment on the mainland If investors are confident about the economy, they will demand a higher yield for the bonds they lend to the government An increase in the yield is also a way of showing how much investors are not convinced by the central bank's efforts to stabilise the yuan If the central bank is losing the battle to stabilise the yuan, investors will demand a higher return to lend money to the government --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

WHY ARE BOND YIELDS THE MEASURE OF WRITEDOWNS FOR CENTRAL BANKS


One theoretical possibility is that magnetic fields in the disk might focus the gas into narrow beams--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

One theoretical possibility is that magnetic fields in the disk might focus the gas into narrow beams --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

A tornado in space - Herbig-Haro 46/47

Find value in business by analyzing multi variant data for outliers--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Find value in business by analyzing multi variant data for outliers --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Anomaly detection using multi variant data and isolation forests part 3

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

Disappointing to see the plugging of religion, and equating Mormonism to the core of American culture, while encouraging people to start their studies with that in a machine learning podcast is simply ludicrous.

Author started plugging religion into a Podcast about machine learning.

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

Gradient convergence --- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Gradient convergence --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Logistic regression

Determining potential profit using neural nets --- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Determining potential profit using neural nets --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Cost benefit matrix and confusion matrix

1. Who are my customers?2. How are their priorities changing?3. Who should be my customer?4. How can I add value to the customer?5. How can I become the customers first choice?6. What is my profit model?7. What is my current business design?8. Who are my real competitors?9. What is my competitors business design?10 What is my next business design?11. What is my strategic control point?12. What is my company worth?--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

1. Who are my customers? 2. How are their priorities changing? 3. Who should be my customer? 4. How can I add value to the customer? 5. How can I become the customers first choice? 6. What is my profit model? 7. What is my current business design? 8. Who are my real competitors? 9. What is my competitors business design? 10 What is my next business design? 11. What is my strategic control point? 12. What is my company worth? --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Analysis of the profit zone and factors for measuring growth and asset value by sales revenue 

We have the technology to help 4 people at the bottom of the pyramid. Why not ask permission and then act--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

We have the technology to help 4 people at the bottom of the pyramid. Why not ask permission and then act --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Eliminating poverty through a 1000 fold decrease in electricity cost

Asheeh Kumar

Building deep Learning-based classifiers for the task of 'Emotion Classification' using Pytorch classifiers for Emotion. • Used CNN Lstm VGG16 Pre-trained model and Attention form Paper "Attention is all you need".• Multi-modal classifiers for disaster tweet classification using tweet text and image.• Experiments for Multi-lingual Multimodality for emotion classification and predicting Intensity score.• Evaluating all results using precision-recall and F1-score cosine-similarity and Pearsons correlation coefficientArtificially generate realistic labelled dataset | SWAAYATT ROBOTS 16th May 2018 - 10th July 2018• Solved the problem of Night Vision using Multimodel Unsupervised Image to Image translation.• Implemented GANs and Autoencoder for style transfer to artificially generate realistic labelled datasets. • Generated Inverse Perspective Mapping software(C++) using USB cameras.ProjectsRoad Accident analysis and Safety measures. | IIT Roorkee Feb-2019 March-2019• Analyzing accident data and coming up with important factors in an accident by visualizing of road accident data from 2003-2016.• Building a Faster R-CNN model for Traffic sign Detection and classification using pytorch and Use this model to give warning on not following signs.Text to Narrate | IIT Roorkee Artificial Intelligence and Electronics Society Dec 2017 - Jan 2018• Implemented bi-LSTM layer, Conditional Random Field (CRF) Named Entity Recognition.• Render related images to the user so as to visualize the story.• The final phase of the project was to combine the two sub-parts to provide a seamless experience for the end-user. • We have made the web-app with the help of Django.--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Building deep Learning-based classifiers for the task of 'Emotion Classification' using Pytorch classifiers for Emotion. • Used CNN Lstm VGG16 Pre-trained model and Attention form Paper "Attention is all you need". • Multi-modal classifiers for disaster tweet classification using tweet text and image. • Experiments for Multi-lingual Multimodality for emotion classification and predicting Intensity score. • Evaluating all results using precision-recall and F1-score cosine-similarity and Pearsons correlation coefficient Artificially generate realistic labelled dataset | SWAAYATT ROBOTS 16th May 2018 - 10th July 2018 • Solved the problem of Night Vision using Multimodel Unsupervised Image to Image translation. • Implemented GANs and Autoencoder for style transfer to artificially generate realistic labelled datasets. • Generated Inverse Perspective Mapping software(C++) using USB cameras. Projects Road Accident analysis and Safety measures. | IIT Roorkee Feb-2019 March-2019 • Analyzing accident data and coming up with important factors in an accident by visualizing of road accident data from 2003-2016. • Building a Faster R-CNN model for Traffic sign Detection and classification using pytorch and Use this model to give warning on not following signs. Text to Narrate | IIT Roorkee Artificial Intelligence and Electronics Society Dec 2017 - Jan 2018 • Implemented bi-LSTM layer, Conditional Random Field (CRF) Named Entity Recognition. • Render related images to the user so as to visualize the story. • The final phase of the project was to combine the two sub-parts to provide a seamless experience for the end-user. • We have made the web-app with the help of Django. --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Deep learning and reinforced learning by Asheeh Kumar 

Avi explains Super query as an optimization and tool for extracting data for thousands of business analyst at the same time. Data is the new gold--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Avi explains Super query as an optimization and tool for extracting data for thousands of business analyst at the same time. Data is the new gold --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

SuperQuery and google bigquery with Avi

Smart cities will include 3 dimensional transportation , faster and larger digital communication using 5g, and more glass and steel structures for work and living--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Smart cities will include 3 dimensional transportation , faster and larger digital communication using 5g, and more glass and steel structures for work and living --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Ml and smart cities 

Tayler Cooper

All machine learning is signal processing. Deep learning has high level feature detection and low level feather detection. ”50 layers for a model, a few scientific computing cases would need that. Balancing linear fields on the quantum level is one of those super expensive hard cases.”--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

All machine learning is signal processing. Deep learning has high level feature detection and low level feather detection. ”50 layers for a model, a few scientific computing cases would need that. Balancing linear fields on the quantum level is one of those super expensive hard cases.” --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Ml and deep learning and tensorflow and signal processing with Tayler Cooper

Achieving desired results and meeting defined expectations is a recipe for success for everyone involved. --- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Achieving desired results and meeting defined expectations is a recipe for success for everyone involved.  --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Accountability is the ability to rise above circumstance and get things done

Israel is A western country bringing technology to the Middle East improving peoples lives--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Israel is A western country bringing technology to the Middle East improving peoples lives --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Ml is technology improving lives 

Every device that electronically gathers or controls data is a candidate for image or natural processing language with human beings with conversation. I don't drink coffee. It was an example --- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Every device that electronically gathers or controls data is a candidate for image or natural processing language with human beings with conversation. I don't drink coffee. It was an example --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Ai as a component of edge computing, a case for xnor.ai

Understanding how molecular therapy can be used to help people. Learn how the study of the zebra fish relates to heart repair therapy--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Understanding how molecular therapy can be used to help people. Learn how the study of the zebra fish relates to heart repair therapy --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Ml and molecular therapy 

Kmeans to group similar groups of data--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Kmeans to group similar groups of data --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

K clustering and the reinforced learning chief financial officer

Spock builds a 21st computer by assembling vacuum tubes in a series creating a mnemonic memory device. The crude computer reveals that Social Worker Edith Keeler was killed in a hit and run car homicide. At that moment the computer burns up. Spock redesigns and stabilizes, the computer and learns that history has suddenly changed. Edit Keeler does not die because McCoy intervenes and saves her. Edit Keeler leads a growing pacifist movement and becomes the President of the United States. German would win the arms race, destroy Europe, and control the world. The change in world events over the next six years would destroy the Federation space programs causing the Enterprise too cease to exist. Edit Keelers became the focus point in time changing history. McCoy was the random element.--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Spock builds a 21st computer by assembling vacuum tubes in a series creating a mnemonic memory device. The crude computer reveals that Social Worker Edith Keeler was killed in a hit and run car homicide. At that moment the computer burns up. Spock redesigns and stabilizes, the computer and learns that history has suddenly changed. Edit Keeler does not die because McCoy intervenes and saves her. Edit Keeler leads a growing pacifist movement and becomes the President of the United States. German would win the arms race, destroy Europe, and control the world. The change in world events over the next six years would destroy the Federation space programs causing the Enterprise too cease to exist. Edit Keelers became the focus point in time changing history. McCoy was the random element. --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

What does the trolley question and the city on the edge of forever share in common

Israel has been the battleground between U.S. foreign policy and Russian aggression.  The war of 1967 was a Russian and America clash behind the scenes.  --- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Israel has been the battleground between U.S. foreign policy and Russian aggression.  The war of 1967 was a Russian and America clash behind the scenes.   --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Israel tensions have been a clash between us foreign policy and Russian miltary expansion

The love of money is the root of all evil--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

The love of money is the root of all evil --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

When fed policy moves away from historical trend correction occurs

Ben Taylor

Zeff.ai strategies for short term business projects with high return on investment. ”High ROI projects are easy to measure in the short term. ”--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

<a href="http://Zeff.ai" rel="nofollow" target="_blank">Zeff.ai</a> strategies for short term business projects with high return on investment. ”High ROI projects are easy to measure in the short term. ” --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Ml genetic algorithms, supervised learning, deep learning with Ben Taylor

What skills should I learn and why--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

What skills should I learn and why --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

What are the ml job opportunities

Analyzing archeological data and astrophysics data and insurance Data to confirm or disprove known theories --- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Analyzing archeological data and astrophysics data and insurance Data to confirm or disprove known theories --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Using computational intense historical data to make ml predictions 

Akshay Buhadur

Mapping of gestures to words and words to sentences create meaning when sentences are formed. Rnn can use the sentence structure to create meaning or resulting actions--- Send in a voice message: https://podcasters.spotify.com/pod/show/david-nishimoto/message

Mapping of gestures to words and words to sentences create meaning when sentences are formed. Rnn can use the sentence structure to create meaning or resulting actions --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/david-nishimoto/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/david-nishimoto/message</a>

Akshay Buhadur explain sentence context using reoccurring neural networks

The best podcast episodes about true crime. For any thrill seeking podcast listeners who just can't get enough of the captivating stories of murderers and criminals. This topic has all the best episodes from many different true crime podcasts.  Add episodes you're interested into your queue below!

Best True Crime Podcasts

The best podcast episodes on romantic relationships. Episodes talk about the 5 love languages, intimacy, and the taboo topics of sexual desires and infidelity. This topic is a deep dive into the science and complexities that face us in our relationships with others. Add episodes you're interested into your queue below!