A classical online course by Professor Gilbert Strang based on his popular textbook "Introduction to Linear Algebra". Learn about matrix theory and systems of equations.
https://t.co/GarhvVxXhG
Recently, I shared a list of some courses that were useful in my transition to machine learning.
While I took most of the courses in person, there are some alternative online courses you can check out.
Here is a thread of a few interesting online courses based on the list:
A classical online course by Professor Gilbert Strang based on his popular textbook "Introduction to Linear Algebra". Learn about matrix theory and systems of equations.
https://t.co/GarhvVxXhG
Learn about the geometry of complex numbers.
https://t.co/DgMuMCgAhr
Pay close attention to the chain rule as it's heavily referenced in machine learning, specifically when discussing optimization. This course is part of a specialization called MathTrackX. I recommend checking that as well.
https://t.co/H4hK05t44b
When you are working with machine learning algorithms applied to data you are dealing with information processing which in essence relies on ideas from information theory such as entropy. This course should provide the basics.
https://t.co/ETeMiwTry1
The courses in this specialization provide a great overview of data mining techniques used for structured and unstructured data.
https://t.co/oGzoOGOMnU
In machine learning, we are programming sophisticated algorithms and it's important to understand key concepts in this subject before jumping straight into ML algorithms. In general, an Algorithms course builds a strong CS foundation.
https://t.co/bdlXphoJud
Note: Includes courses for multivariate calculus and linear algebra. One of my favorite courses due to the quality of lectures and focused topics.
https://t.co/3Uf3iuni3z
This course is focused on the basics of statistics which is important when dealing with uncertainties, modeling, inference, etc. Although the courses focus on Python, there are other options using R as well.
https://t.co/yZOUQBTZNI
Probability can become a difficult topic but it's a core concept of building probabilistic prediction models. This course can provide an intuitive introduction to core topics like conditional probability.
https://t.co/sGirM58T9p
More from elvis
Amazing resources to start learning MLOps, one of the most exciting areas in machine learning engineering:
↓
📘 Introducing MLOps
An excellent primer to MLOps and how to scale machine learning in the enterprise.
https://t.co/GCnbZZaQEI
🎓 Machine Learning Engineering for Production (MLOps) Specialization
A new specialization by https://t.co/mEjqoGrnTW on machine learning engineering for production (MLOPs).
https://t.co/MAaiRlRRE7
⚙️ MLOps Tooling Landscape
A great blog post by Chip Huyen summarizing all the latest technologies/tools used in MLOps.
https://t.co/hsDH8DVloH
🎓 MLOps Course by Goku Mohandas
A series of lessons teaching how to apply machine learning to build production-grade products.
https://t.co/RrV3GNNsLW
↓
📘 Introducing MLOps
An excellent primer to MLOps and how to scale machine learning in the enterprise.
https://t.co/GCnbZZaQEI
🎓 Machine Learning Engineering for Production (MLOps) Specialization
A new specialization by https://t.co/mEjqoGrnTW on machine learning engineering for production (MLOPs).
https://t.co/MAaiRlRRE7
⚙️ MLOps Tooling Landscape
A great blog post by Chip Huyen summarizing all the latest technologies/tools used in MLOps.
https://t.co/hsDH8DVloH
🎓 MLOps Course by Goku Mohandas
A series of lessons teaching how to apply machine learning to build production-grade products.
https://t.co/RrV3GNNsLW
More from Education
A list of cool websites you might now know about
A thread 🧵
1) Learn Anything - Search tools for knowledge discovery that helps you understand any topic through the most efficient
2) Grad Speeches - Discover the best commencement speeches.
This website is made by me
3) What does the Internet Think - Find out what the internet thinks about anything
4) https://t.co/vuhT6jVItx - Send notes that will self-destruct after being read.
A thread 🧵
1) Learn Anything - Search tools for knowledge discovery that helps you understand any topic through the most efficient
2) Grad Speeches - Discover the best commencement speeches.
This website is made by me
3) What does the Internet Think - Find out what the internet thinks about anything
4) https://t.co/vuhT6jVItx - Send notes that will self-destruct after being read.
You asked. So here are my thoughts on how osteopathic medical students should respond to the NBOME.
(thread)
Look, even before the Step 2 CS cancellation, my DMs and email were flooded with messages from osteopathic medical students who are fed up with the NBOME.
There is *real* anger toward this organization. Honestly, more than I even heard about from MD students and the NBME.
The question is, will that sentiment translate into action?
Amorphous anger on social media is easy to ignore. But if that anger gets channeled into organized efforts to facilitate change, then improvements are possible.
This much should be clear: begging the NBOME to reconsider their Level 2-PE exam is a waste of your time.
Best case scenario, you’ll get another “town hall” meeting, a handful of platitudes, and some thoughtful beard stroking before being told that they’re keeping the exam.
Instead of complaining to the NBOME, here are a few things that are more likely to bring about real change.
(thread)
I think most of us are over here waiting to see what @jbcarmody has to say about the latest NBOME email pic.twitter.com/bVWkS23V7z
— Jake Berg (@jberg521) January 28, 2021
Look, even before the Step 2 CS cancellation, my DMs and email were flooded with messages from osteopathic medical students who are fed up with the NBOME.
There is *real* anger toward this organization. Honestly, more than I even heard about from MD students and the NBME.
The question is, will that sentiment translate into action?
Amorphous anger on social media is easy to ignore. But if that anger gets channeled into organized efforts to facilitate change, then improvements are possible.
This much should be clear: begging the NBOME to reconsider their Level 2-PE exam is a waste of your time.
Best case scenario, you’ll get another “town hall” meeting, a handful of platitudes, and some thoughtful beard stroking before being told that they’re keeping the exam.
Instead of complaining to the NBOME, here are a few things that are more likely to bring about real change.
Our preprint on the impact of reopening schools on reproduction number in England is now available online: https://t.co/CpfUGzAJ2S. With @Jarvis_Stats @amyg225 @kerrylmwong @KevinvZandvoort @sbfnk + John Edmunds. NOT YET PEER REVIEWED. 1/
We used contact survey data collected by CoMix (https://t.co/ezbCIOgRa1) to quantify differences in contact patterns during November (Schools open) and January (Schools closed) 'Lockdown periods'. NOT YET PEER REVIEWED 2/
We combined this analysis with estimates of susceptibility and infectiousness of children relative to adults from literature. We also inferred relative susceptibility by fitting R estimates from CoMix to EpiForecasts estimates(https://t.co/6lUM2wK0bn). NOT YET PEER REVIEWED 3/
We estimated that reopening all schools would increase R by between 20% to 90% whereas reopening primary or secondary schools alone would increase R by 10% to 40%, depending on the infectiousness/susceptibility profile we used. NOT YET PEER REVIEWED 4/
Assuming a current R of 0.8 (in line with Govt. estimates: https://t.co/ZZhCe79zC4). Reopening all schools would increase R to between 1.0 and 1.5 and reopening either primary or secondary schools would increase R to between 0.9 and 1.2. NOT YET PEER REVIEWED 5/
We used contact survey data collected by CoMix (https://t.co/ezbCIOgRa1) to quantify differences in contact patterns during November (Schools open) and January (Schools closed) 'Lockdown periods'. NOT YET PEER REVIEWED 2/
We combined this analysis with estimates of susceptibility and infectiousness of children relative to adults from literature. We also inferred relative susceptibility by fitting R estimates from CoMix to EpiForecasts estimates(https://t.co/6lUM2wK0bn). NOT YET PEER REVIEWED 3/
We estimated that reopening all schools would increase R by between 20% to 90% whereas reopening primary or secondary schools alone would increase R by 10% to 40%, depending on the infectiousness/susceptibility profile we used. NOT YET PEER REVIEWED 4/
Assuming a current R of 0.8 (in line with Govt. estimates: https://t.co/ZZhCe79zC4). Reopening all schools would increase R to between 1.0 and 1.5 and reopening either primary or secondary schools would increase R to between 0.9 and 1.2. NOT YET PEER REVIEWED 5/
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Margatha Natarajar murthi - Uthirakosamangai temple near Ramanathapuram,TN
#ArudraDarisanam
Unique Natarajar made of emerlad is abt 6 feet tall.
It is always covered with sandal paste.Only on Thriuvadhirai Star in month Margazhi-Nataraja can be worshipped without sandal paste.
After removing the sandal paste,day long rituals & various abhishekam will be https://t.co/e1Ye8DrNWb day Maragatha Nataraja sannandhi will be closed after anointing the murthi with fresh sandal paste.Maragatha Natarajar is covered with sandal paste throughout the year
as Emerald has scientific property of its molecules getting disturbed when exposed to light/water/sound.This is an ancient Shiva temple considered to be 3000 years old -believed to be where Bhagwan Shiva gave Veda gyaana to Parvati Devi.This temple has some stunning sculptures.
#ArudraDarisanam
Unique Natarajar made of emerlad is abt 6 feet tall.
It is always covered with sandal paste.Only on Thriuvadhirai Star in month Margazhi-Nataraja can be worshipped without sandal paste.
After removing the sandal paste,day long rituals & various abhishekam will be https://t.co/e1Ye8DrNWb day Maragatha Nataraja sannandhi will be closed after anointing the murthi with fresh sandal paste.Maragatha Natarajar is covered with sandal paste throughout the year
as Emerald has scientific property of its molecules getting disturbed when exposed to light/water/sound.This is an ancient Shiva temple considered to be 3000 years old -believed to be where Bhagwan Shiva gave Veda gyaana to Parvati Devi.This temple has some stunning sculptures.
