For example👇
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Everything you need to know about the math for machine learning as a beginner.
🧵👇
- Object oriented programming in Python : Classes, Objects, Methods
- List slicing
- String formatting
- Dictionaries & Tuples
- Basic terminal commands
- Exception handling
(3 / 17)
🔗Basics: youtube .com/watch?v=rfscVS0vtbw
🔗Intermediate :youtube .com/watch?v=HGOBQPFzWKo
(4 / 17)
It is 100% compulsory.
(5 / 17)
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(7 / 17)
For instance I was recently competing in a kaggle challenge.
(8 / 17)
(9 / 17)
- Linear Algebra
- Calculus
- Trigonometry
- Algebra
- Statistics
- Probability
Now here are the math resources and a brief description about them.
(10 / 17)
> A series of videos that go over how neural networks work with approach visual, must watch
🔗youtube. com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
(11 / 17)
> This website gives you an interactive to learn statistics and probability
🔗seeing-theory. brown. edu/basic-probability/index.html
(12 / 17)
> They're 15 years old but still 100% relevant today!
Despite the fact these lectures are for freshman college students ,I found it very easy to follow.
🔗youtube. com/playlist?list=PL49CF3715CB9EF31D
(13 / 17)
> A beautifully crafted set of videos which teach you linear algebra through visualisations in an easy to digest manner
🔗youtube. com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
(14 / 17)
>The resource you must refer to when you forget something or want to revise a topic.
🔗khanacademy. org/math
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More from Pratham Prasoon
This is a step-by-step guide on getting started with Python as a total beginner.
(includes free resources and everything else you need to get started)
🧵👇
Before we begin, I want to congratulate you on your decision to learn how to code using Python.
I still remember how I wrote my first piece of code 6 years and all the amazing and cool things I've been able to do with it ever since.
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Make sure to keep in mind that it is probably best for you to keep your expectations in check.
Don't expect to make AAA games or state of the art machine learning models in a week.
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Programming is not something that you can learn in a single week, it takes consistent effort and dedication over time to get good at it.
With all that being said, let's dive straight in.
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In order to write Python code, you'll need to install Python on your system.
Linux and macOS users can skip this step because they come pre-installed with Python.
Download link: https://t.co/KSZ4Qd6CNk
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(includes free resources and everything else you need to get started)
🧵👇
Before we begin, I want to congratulate you on your decision to learn how to code using Python.
I still remember how I wrote my first piece of code 6 years and all the amazing and cool things I've been able to do with it ever since.
(2 / 24)
Make sure to keep in mind that it is probably best for you to keep your expectations in check.
Don't expect to make AAA games or state of the art machine learning models in a week.
(3 / 24)
Programming is not something that you can learn in a single week, it takes consistent effort and dedication over time to get good at it.
With all that being said, let's dive straight in.
(4 / 24)
In order to write Python code, you'll need to install Python on your system.
Linux and macOS users can skip this step because they come pre-installed with Python.
Download link: https://t.co/KSZ4Qd6CNk
(5 / 24)
More from Machine learning
Really enjoyed digging into recent innovations in the football analytics industry.
>10 hours of interviews for this w/ a dozen or so of top firms in the game. Really grateful to everyone who gave up time & insights, even those that didnt make final cut 🙇♂️ https://t.co/9YOSrl8TdN
For avoidance of doubt, leading tracking analytics firms are now well beyond voronoi diagrams, using more granular measures to assess control and value of space.
This @JaviOnData & @LukeBornn paper from 2018 referenced in the piece demonstrates one method https://t.co/Hx8XTUMpJ5
Bit of this that I nerded out on the most is "ghosting" — technique used by @counterattack9 & co @stats_insights, among others.
Deep learning models predict how specific players — operating w/in specific setups — will move & execute actions. A paper here: https://t.co/9qrKvJ70EN
So many use-cases:
1/ Quickly & automatically spot situations where opponent's defence is abnormally vulnerable. Drill those to death in training.
2/ Swap target player B in for current player A, and simulate. How does target player strengthen/weaken team? In specific situations?
>10 hours of interviews for this w/ a dozen or so of top firms in the game. Really grateful to everyone who gave up time & insights, even those that didnt make final cut 🙇♂️ https://t.co/9YOSrl8TdN
For avoidance of doubt, leading tracking analytics firms are now well beyond voronoi diagrams, using more granular measures to assess control and value of space.
This @JaviOnData & @LukeBornn paper from 2018 referenced in the piece demonstrates one method https://t.co/Hx8XTUMpJ5
Bit of this that I nerded out on the most is "ghosting" — technique used by @counterattack9 & co @stats_insights, among others.
Deep learning models predict how specific players — operating w/in specific setups — will move & execute actions. A paper here: https://t.co/9qrKvJ70EN
So many use-cases:
1/ Quickly & automatically spot situations where opponent's defence is abnormally vulnerable. Drill those to death in training.
2/ Swap target player B in for current player A, and simulate. How does target player strengthen/weaken team? In specific situations?
You May Also Like
TradingView isn't just charts
It's much more powerful than you think
9 things TradingView can do, you'll wish you knew yesterday: 🧵
Collaborated with @niki_poojary
1/ Free Multi Timeframe Analysis
Step 1. Download Vivaldi Browser
Step 2. Login to trading view
Step 3. Open bank nifty chart in 4 separate windows
Step 4. Click on the first tab and shift + click by mouse on the last tab.
Step 5. Select "Tile all 4 tabs"
What happens is you get 4 charts joint on one screen.
Refer to the attached picture.
The best part about this is this is absolutely free to do.
Also, do note:
I do not have the paid version of trading view.
2/ Free Multiple Watchlists
Go through this informative thread where @sarosijghosh teaches you how to create multiple free watchlists in the free
3/ Free Segregation into different headers/sectors
You can create multiple sections sector-wise for free.
1. Long tap on any index/stock and click on "Add section above."
2. Secgregate the stocks/indices based on where they belong.
Kinda like how I did in the picture below.
It's much more powerful than you think
9 things TradingView can do, you'll wish you knew yesterday: 🧵
Collaborated with @niki_poojary
1/ Free Multi Timeframe Analysis
Step 1. Download Vivaldi Browser
Step 2. Login to trading view
Step 3. Open bank nifty chart in 4 separate windows
Step 4. Click on the first tab and shift + click by mouse on the last tab.
Step 5. Select "Tile all 4 tabs"
What happens is you get 4 charts joint on one screen.
Refer to the attached picture.
The best part about this is this is absolutely free to do.
Also, do note:
I do not have the paid version of trading view.
2/ Free Multiple Watchlists
Go through this informative thread where @sarosijghosh teaches you how to create multiple free watchlists in the free
\U0001d5e0\U0001d602\U0001d5f9\U0001d601\U0001d5f6\U0001d5fd\U0001d5f9\U0001d5f2 \U0001d600\U0001d5f2\U0001d5f0\U0001d601\U0001d5fc\U0001d5ff \U0001d604\U0001d5ee\U0001d601\U0001d5f0\U0001d5f5\U0001d5f9\U0001d5f6\U0001d600\U0001d601 \U0001d5fc\U0001d5fb \U0001d5e7\U0001d5ff\U0001d5ee\U0001d5f1\U0001d5f6\U0001d5fb\U0001d5f4\U0001d603\U0001d5f6\U0001d5f2\U0001d604 \U0001d602\U0001d600\U0001d5f6\U0001d5fb\U0001d5f4 \U0001d601\U0001d5f5\U0001d5f2 \U0001d5d9\U0001d5e5\U0001d5d8\U0001d5d8 \U0001d603\U0001d5f2\U0001d5ff\U0001d600\U0001d5f6\U0001d5fc\U0001d5fb!
— Sarosij Ghosh (@sarosijghosh) September 18, 2021
A THREAD \U0001f9f5
Please Like and Re-Tweet. It took a lot of effort to put this together. #StockMarket #TradingView #trading #watchlist #Nifty500 #stockstowatch
3/ Free Segregation into different headers/sectors
You can create multiple sections sector-wise for free.
1. Long tap on any index/stock and click on "Add section above."
2. Secgregate the stocks/indices based on where they belong.
Kinda like how I did in the picture below.
THREAD: 12 Things Everyone Should Know About IQ
1. IQ is one of the most heritable psychological traits – that is, individual differences in IQ are strongly associated with individual differences in genes (at least in fairly typical modern environments). https://t.co/3XxzW9bxLE
2. The heritability of IQ *increases* from childhood to adulthood. Meanwhile, the effect of the shared environment largely fades away. In other words, when it comes to IQ, nature becomes more important as we get older, nurture less. https://t.co/UqtS1lpw3n
3. IQ scores have been increasing for the last century or so, a phenomenon known as the Flynn effect. https://t.co/sCZvCst3hw (N ≈ 4 million)
(Note that the Flynn effect shows that IQ isn't 100% genetic; it doesn't show that it's 100% environmental.)
4. IQ predicts many important real world outcomes.
For example, though far from perfect, IQ is the single-best predictor of job performance we have – much better than Emotional Intelligence, the Big Five, Grit, etc. https://t.co/rKUgKDAAVx https://t.co/DWbVI8QSU3
5. Higher IQ is associated with a lower risk of death from most causes, including cardiovascular disease, respiratory disease, most forms of cancer, homicide, suicide, and accident. https://t.co/PJjGNyeQRA (N = 728,160)
1. IQ is one of the most heritable psychological traits – that is, individual differences in IQ are strongly associated with individual differences in genes (at least in fairly typical modern environments). https://t.co/3XxzW9bxLE
2. The heritability of IQ *increases* from childhood to adulthood. Meanwhile, the effect of the shared environment largely fades away. In other words, when it comes to IQ, nature becomes more important as we get older, nurture less. https://t.co/UqtS1lpw3n
3. IQ scores have been increasing for the last century or so, a phenomenon known as the Flynn effect. https://t.co/sCZvCst3hw (N ≈ 4 million)
(Note that the Flynn effect shows that IQ isn't 100% genetic; it doesn't show that it's 100% environmental.)
4. IQ predicts many important real world outcomes.
For example, though far from perfect, IQ is the single-best predictor of job performance we have – much better than Emotional Intelligence, the Big Five, Grit, etc. https://t.co/rKUgKDAAVx https://t.co/DWbVI8QSU3
5. Higher IQ is associated with a lower risk of death from most causes, including cardiovascular disease, respiratory disease, most forms of cancer, homicide, suicide, and accident. https://t.co/PJjGNyeQRA (N = 728,160)
