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DATAESPRESSO
2019-02-07. by Christopher Ottesen. Fitbit has improved its online data exporting tool to allow export of all the accumulated data, a big step up from their previous export tool that was limited to averages over a limited period of time. With devices that are meant to be worn 24/7 to track everything from sleep, steps and heart rate, Read More. COMPARISON BETWEEN PCA AND LDA Algorithm’s Learning mechanism. While both rely on decomposing matrices of eigenvalues and eigenvectors, the biggest difference between the two lays in the basic learning approach, where PCA is unsupervised, LDA is supervised. PCA reduces dimensions by looking at the correlation between different features, by creating orthogonalaxes - or
NEWSLETTER | DATAESPRESSO Subscribe to our newsletter Subscribe to receive the latest blog posts from DataEspresso directly to your email. We cover subjects on Data Science, Machine Learning, Quantum Computing, and other techn TUTORIAL: STRESS DETECTION WITH WEARABLE DEVICES ANDSEE MORE ONDATAESPRESSO.COM
QUANTIFYING LONDONERS CHANGE IN FITNESS HABITS DURINGSEE MORE ONDATAESPRESSO.COM
TAG: QUANTUM COMPUTING Blog heavily biased towards Data Science. Subscribe to the mailinglist
TUTORIAL: GETTING STARTED WITH QUANTUM COMPUTING IN PYTHON Overview of the DataEspresso tutorial series on quantum computing. Part 1: Getting started with quantum computing by generating random numbers (Python) Part 2: Using Quantum Teleportation to send Bob a message (Python) Part 3: Subscribe to our newsletter to be notified. This example can be done on any emulator or quantum computer. TUTORIAL: MAKING SENSE OF FITBITS'S JSON EXPORT Exporting the data Downloading the data. Head over to the Fitbit’s data export page and request a data export. This takes a couple of minutes as Fitbit have to ‘prepare’ the file, depending on how long you have had a Fitbit, it can also take some time to download. READING RR INTERVALS FROM ELITEHRV WITH PANDAS The first step is to export the data containing RR intervals by clicking on the settings menu and choose Export Data. The data will now be e-mailed to you in the form of a link where you can download a zipped file with all your measurements. The next step is to read the data into a Pandas DataFrame as a Time Series. TUTORIAL: QUANTUM TELEPORTATION IN PYTHON Implementation of quantum teleportation. The commonly used fictional characters Alice and Bob will embark into the quantum computing world, where Alice will teleport a message to Bob through quantum teleportation As a quick reminder: This tutorial is based on projectQ, but the same approach can be followed in other libraries and systems as well, the code syntax will be a bit different,DATAESPRESSO
2019-02-07. by Christopher Ottesen. Fitbit has improved its online data exporting tool to allow export of all the accumulated data, a big step up from their previous export tool that was limited to averages over a limited period of time. With devices that are meant to be worn 24/7 to track everything from sleep, steps and heart rate, Read More. COMPARISON BETWEEN PCA AND LDA Algorithm’s Learning mechanism. While both rely on decomposing matrices of eigenvalues and eigenvectors, the biggest difference between the two lays in the basic learning approach, where PCA is unsupervised, LDA is supervised. PCA reduces dimensions by looking at the correlation between different features, by creating orthogonalaxes - or
NEWSLETTER | DATAESPRESSO Subscribe to our newsletter Subscribe to receive the latest blog posts from DataEspresso directly to your email. We cover subjects on Data Science, Machine Learning, Quantum Computing, and other techn TUTORIAL: STRESS DETECTION WITH WEARABLE DEVICES ANDSEE MORE ONDATAESPRESSO.COM
QUANTIFYING LONDONERS CHANGE IN FITNESS HABITS DURINGSEE MORE ONDATAESPRESSO.COM
TAG: QUANTUM COMPUTING Blog heavily biased towards Data Science. Subscribe to the mailinglist
TUTORIAL: GETTING STARTED WITH QUANTUM COMPUTING IN PYTHON Overview of the DataEspresso tutorial series on quantum computing. Part 1: Getting started with quantum computing by generating random numbers (Python) Part 2: Using Quantum Teleportation to send Bob a message (Python) Part 3: Subscribe to our newsletter to be notified. This example can be done on any emulator or quantum computer. ABOUT | DATAESPRESSO Blogging about data science, machine learning, and generally anything that gratifies one’s intellectual curiosity. Read more about the author Christopher Ottesen NEWSLETTER | DATAESPRESSO Subscribe to our newsletter Subscribe to receive the latest blog posts from DataEspresso directly to your email. We cover subjects on Data Science, Machine Learning, Quantum Computing, and other technDATAESPRESSO
Blog heavily biased towards Data Science. Machine learning is about learning from data The first thing to know about machine learning is that it’s often referred to as Artificial Intelligence by the popular media and they make it sound like the computer has become super intelligent and self-aware.TAG: HISTORY
Blog heavily biased towards Data Science. Subscribe to the mailinglist
TAG: QUANTUM COMPUTING Blog heavily biased towards Data Science. Subscribe to the mailinglist
TAG: HRV | DATAESPRESSO Blog heavily biased towards Data Science. Subscribe to the mailinglist
TAG: DEEP LEARNING
Blog heavily biased towards Data Science. Subscribe to the mailinglist
TAG: TWEET | DATAESPRESSO Quantifying Londoners discontent towards Tube strikes using NLP. 2017-10-04. Data Science Machine Learning Natural Language Processing Sentiment analysis Time-series RECOMMENDED QUANTUM COMPUTING BOOKS Recommended Quantum Computing books. Here are some links to quantum computing related books I’ve found very useful. Note that these are affiliate links, and I get a few pence for server costs and maybe some coffee if you buy through my link. THREE THINGS TO KNOW ABOUT MACHINE LEARNING The first thing to know about machine learning is that it’s often referred to as Artificial Intelligence by the popular media and they make it sound like the computer has become super intelligent and self-aware. In reality, machine learning - or AI - is just about learning patterns in data and we shouldn’t be afraid of beingcolonized by
DATAESPRESSO
2019-02-07. by Christopher Ottesen. Fitbit has improved its online data exporting tool to allow export of all the accumulated data, a big step up from their previous export tool that was limited to averages over a limited period of time. With devices that are meant to be worn 24/7 to track everything from sleep, steps and heart rate, Read More. COMPARISON BETWEEN PCA AND LDA Algorithm’s Learning mechanism. While both rely on decomposing matrices of eigenvalues and eigenvectors, the biggest difference between the two lays in the basic learning approach, where PCA is unsupervised, LDA is supervised. PCA reduces dimensions by looking at the correlation between different features, by creating orthogonalaxes - or
NEWSLETTER | DATAESPRESSO Subscribe to our newsletter Subscribe to receive the latest blog posts from DataEspresso directly to your email. We cover subjects on Data Science, Machine Learning, Quantum Computing, and other techn TUTORIAL: STRESS DETECTION WITH WEARABLE DEVICES ANDSEE MORE ONDATAESPRESSO.COM
QUANTIFYING LONDONERS CHANGE IN FITNESS HABITS DURINGSEE MORE ONDATAESPRESSO.COM
TAG: QUANTUM COMPUTING Blog heavily biased towards Data Science. Subscribe to the mailinglist
TUTORIAL: GETTING STARTED WITH QUANTUM COMPUTING IN PYTHONQUANTUM COMPUTING PYTHON LIBRARYQUANTUM TOOLBOX IN PYTHONPYTHON QUANTUM PROGRAMMINGPYTHON QUANTUM PROGRAMMINGQUANTUM COMPUTER PROGRAMMING Overview of the DataEspresso tutorial series on quantum computing. Part 1: Getting started with quantum computing by generating random numbers (Python) Part 2: Using Quantum Teleportation to send Bob a message (Python) Part 3: Subscribe to our newsletter to be notified. This example can be done on any emulator or quantum computer. TUTORIAL: MAKING SENSE OF FITBITS'S JSON EXPORT Exporting the data Downloading the data. Head over to the Fitbit’s data export page and request a data export. This takes a couple of minutes as Fitbit have to ‘prepare’ the file, depending on how long you have had a Fitbit, it can also take some time to download. READING RR INTERVALS FROM ELITEHRV WITH PANDAS The first step is to export the data containing RR intervals by clicking on the settings menu and choose Export Data. The data will now be e-mailed to you in the form of a link where you can download a zipped file with all your measurements. The next step is to read the data into a Pandas DataFrame as a Time Series. TUTORIAL: QUANTUM TELEPORTATION IN PYTHON Implementation of quantum teleportation. The commonly used fictional characters Alice and Bob will embark into the quantum computing world, where Alice will teleport a message to Bob through quantum teleportation As a quick reminder: This tutorial is based on projectQ, but the same approach can be followed in other libraries and systems as well, the code syntax will be a bit different,DATAESPRESSO
2019-02-07. by Christopher Ottesen. Fitbit has improved its online data exporting tool to allow export of all the accumulated data, a big step up from their previous export tool that was limited to averages over a limited period of time. With devices that are meant to be worn 24/7 to track everything from sleep, steps and heart rate, Read More. COMPARISON BETWEEN PCA AND LDA Algorithm’s Learning mechanism. While both rely on decomposing matrices of eigenvalues and eigenvectors, the biggest difference between the two lays in the basic learning approach, where PCA is unsupervised, LDA is supervised. PCA reduces dimensions by looking at the correlation between different features, by creating orthogonalaxes - or
NEWSLETTER | DATAESPRESSO Subscribe to our newsletter Subscribe to receive the latest blog posts from DataEspresso directly to your email. We cover subjects on Data Science, Machine Learning, Quantum Computing, and other techn TUTORIAL: STRESS DETECTION WITH WEARABLE DEVICES ANDSEE MORE ONDATAESPRESSO.COM
QUANTIFYING LONDONERS CHANGE IN FITNESS HABITS DURINGSEE MORE ONDATAESPRESSO.COM
TAG: QUANTUM COMPUTING Blog heavily biased towards Data Science. Subscribe to the mailinglist
TUTORIAL: GETTING STARTED WITH QUANTUM COMPUTING IN PYTHONQUANTUM COMPUTING PYTHON LIBRARYQUANTUM TOOLBOX IN PYTHONPYTHON QUANTUM PROGRAMMINGPYTHON QUANTUM PROGRAMMINGQUANTUM COMPUTER PROGRAMMING Overview of the DataEspresso tutorial series on quantum computing. Part 1: Getting started with quantum computing by generating random numbers (Python) Part 2: Using Quantum Teleportation to send Bob a message (Python) Part 3: Subscribe to our newsletter to be notified. This example can be done on any emulator or quantum computer. TUTORIAL: MAKING SENSE OF FITBITS'S JSON EXPORT Exporting the data Downloading the data. Head over to the Fitbit’s data export page and request a data export. This takes a couple of minutes as Fitbit have to ‘prepare’ the file, depending on how long you have had a Fitbit, it can also take some time to download. READING RR INTERVALS FROM ELITEHRV WITH PANDAS The first step is to export the data containing RR intervals by clicking on the settings menu and choose Export Data. The data will now be e-mailed to you in the form of a link where you can download a zipped file with all your measurements. The next step is to read the data into a Pandas DataFrame as a Time Series. TUTORIAL: QUANTUM TELEPORTATION IN PYTHON Implementation of quantum teleportation. The commonly used fictional characters Alice and Bob will embark into the quantum computing world, where Alice will teleport a message to Bob through quantum teleportation As a quick reminder: This tutorial is based on projectQ, but the same approach can be followed in other libraries and systems as well, the code syntax will be a bit different, ABOUT | DATAESPRESSO Blogging about data science, machine learning, and generally anything that gratifies one’s intellectual curiosity. Read more about the author Christopher Ottesen NEWSLETTER | DATAESPRESSO Subscribe to our newsletter Subscribe to receive the latest blog posts from DataEspresso directly to your email. We cover subjects on Data Science, Machine Learning, Quantum Computing, and other technDATAESPRESSO
Blog heavily biased towards Data Science. Machine learning is about learning from data The first thing to know about machine learning is that it’s often referred to as Artificial Intelligence by the popular media and they make it sound like the computer has become super intelligent and self-aware.TAG: HISTORY
Blog heavily biased towards Data Science. Subscribe to the mailinglist
TAG: QUANTUM COMPUTING Blog heavily biased towards Data Science. Subscribe to the mailinglist
TAG: HRV | DATAESPRESSO Blog heavily biased towards Data Science. Subscribe to the mailinglist
TAG: DEEP LEARNING
Blog heavily biased towards Data Science. Subscribe to the mailinglist
TAG: TWEET | DATAESPRESSO Quantifying Londoners discontent towards Tube strikes using NLP. 2017-10-04. Data Science Machine Learning Natural Language Processing Sentiment analysis Time-series RECOMMENDED QUANTUM COMPUTING BOOKS Recommended Quantum Computing books. Here are some links to quantum computing related books I’ve found very useful. Note that these are affiliate links, and I get a few pence for server costs and maybe some coffee if you buy through my link. THREE THINGS TO KNOW ABOUT MACHINE LEARNING The first thing to know about machine learning is that it’s often referred to as Artificial Intelligence by the popular media and they make it sound like the computer has become super intelligent and self-aware. In reality, machine learning - or AI - is just about learning patterns in data and we shouldn’t be afraid of beingcolonized by
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TUTORIAL: MAKING SENSE OF FITBITS'S JSON EXPORT__ 2019-02-07
BY CHRISTOPHER OTTESEN Fitbit has improved its online data exporting tool to allow export of all the accumulated data, a big step up from their previous export tool that was limited to averages over a limited period of time. With devices that are meant to be worn 24/7 to track everything from sleep, steps and heart rate,Read More
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TUTORIAL: STRESS DETECTION WITH WEARABLE DEVICES AND MACHINE LEARNING__ 2019-01-30
BY CHRISTOPHER OTTESEN This blog post presents an automated machine learning approach in Python to create a stress monitoring system with data from devices such as fitness trackers. With the rising popularity of trackers that monitor biological signals 24/7, there is only a matter of time before the technology matures andRead More
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RECOMMENDED QUANTUM COMPUTING BOOKS__ 2019-01-30
BY CHRISTOPHER OTTESEN Recommended Quantum Computing books Here are some links to quantum computing related books I’ve found very useful. Note that these are affiliate links, and I get a few pence for server costs and maybe some coffee if you buy through my link. 1. Quantum Computing since Democritus This is an introduRead More
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TUTORIAL: QUANTUM TELEPORTATION IN PYTHON__ 2018-07-29
BY CHRISTOPHER OTTESEN Quantum teleportation sounds like science fiction but is a fully working communication protocol to teleport a quantum state from one place to another. This tutorial walks through the steps to program a simple quantum computer to teleport a text message using quantum teleportation. This is part twoRead More
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TUTORIAL: GETTING STARTED WITH QUANTUM COMPUTING IN PYTHON__ 2018-07-22
BY CHRISTOPHER OTTESEN Quantum computers might sound a bit exotic and far into the future, but in reality, they are now accessible in the cloud or through emulators for everyone to write quantum code. In this tutorial, we’ll go through how you can program a simple quantum computer to generate random numbers. This is partRead More
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TRANSFORM AN IPAD INTO A DIGITAL PHOTO FRAME FOR £10 (NO TOOLS)__ 2018-02-13
BY CHRISTOPHER OTTESEN Just spent £xxx on that new iPad and struggling to justify your purchase? Look no further, and join me in transforming it into a digital photo frame. I’ve wanted a digital photo frame for a while to display pictures, but these can often be expensive and ugly looking. So, instead I wanted to use my iRead More
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COMPARISON BETWEEN NAÏVE BAYES AND LOGISTIC REGRESSION__ 2017-10-24
BY CHRISTOPHER OTTESEN Naïve Bayes and Logistic regression are two popular models used to solve numerous machine learning problems, in many ways the two algorithms are similar, but at the same time very dissimilar. This blog post highlights some of the similarities and dissimilarities between these two popular algorithms.Read More
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QUANTIFYING LONDONERS DISCONTENT TOWARDS TUBE STRIKES USING NLP__ 2017-10-04
BY CHRISTOPHER OTTESEN This post was inspired by the tube strike that was set to take place on Thursday 5th of October 2017, which was ultimately cancelled. For that reason, we decided to revisit an older dataset we had containing happy and angry tweets during a tube strike earlier this year. Tube strikes are an unavoidaRead More
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THREE THINGS TO KNOW ABOUT MACHINE LEARNING__ 2017-09-17
BY CHRISTOPHER OTTESEN Machine learning is about learning from data The first thing to know about machine learning is that it’s often referred to as Artificial Intelligence by the popular media and they make it sound like the computer has become super intelligent and self-aware. In reality, machine learning - or AI - is jRead More
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THE DATA DRIVEN RENAISSANCE OF ARTIFICIAL INTELLIGENCE__ 2017-09-13
BY CHRISTOPHER OTTESEN Artificial Intelligence or to be more specific machine learning has been around for decades, for example the widely popular Support Vector Machine (SVM) was invented in 1963 by Vladimir N. Vapnik and Alexey Ya. Further Neural Nets which is one enjoying a renaissance today originated back in the 1940Read More
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__Tutorial: Making sense of Fitbits's JSON export Fitbit has improved its online data exporting tool to allow export of all the accumulated data, a big step up from their previous exporttool that was
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This blog post presents an automated machine learning approach in Python to create a stress monitoring system with data from devicessuch as fitness t
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__Tutorial: Quantum Teleportation in Python Quantum teleportation sounds like science fiction but is a fully working communication protocol to teleport a quantum state from oneplace to another.
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