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Saved by @Lamadex

20 machine learning questions that will make you think.

(Cool questions. Not the regular, introductory stuff that you find everywhere.)

🧵👇

 1. Why is it important to introduce non-linearities in a neural network?

2. What are the differences between a multi-class classification problem and a multi-label classification problem?

3. Why does the use of Dropout work as a regularizer?

👇
4. Why you shouldn't use a softmax output activation function in a multi-label classification problem when using a one-hot-encoded target?

5. Does the use of Dropout in your model slow down or speed up the training process? Why?

👇
6. In a Linear or Logistic Regression problem, do all Gradient Descent algorithms lead to the same model, provided you let them run long enough?

7. Explain the difference between Batch Gradient Descent, Stochastic Gradient Descent, and Mini-batch Gradient Descent.

👇
8. What are the advantages of Convolution Neural Networks (CNN) over a fully connected network for image classification?

9. What are the advantages of Recurrent Neural Networks (RNN) over a fully connected network when working with text data?

👇
10. How do you deal with the vanishing gradient problem?

11. How do you deal with the exploding gradient problem?

12. Are feature engineering and feature extraction still needed when applying Deep Learning?

13. How does Batch Normalization help?

👇
14. The universal approximation theorem shows that any function can be approximated as closely as needed using a single nonlinearity. Then why do we use more?

15. What are some of the limitations of Deep Learning?

16. Is there any value in weight initialization?

👇
17. The training loss of your model is high and almost equal to the validation loss. What does it mean? What can you do?

18. Assuming you are using Batch Gradient Descent, what advantage would you get from shuffling your training dataset?

👇
19. Compare the following evaluation protocols: a hold-out validation set, K-fold cross-validation, and iterated K-fold validation. When would you use each one?

20. What are the main differences between Adam and the Gradient Descent optimization algorithms?

👇
I'll be posting an in-depth answer for each one of these questions over the next following days.

Stay tuned and help me spread more machine learning content to more people in the community!
Feel free to post answers for those questions that you know. Give them a try!

You’ll be forced to think about them just by trying to collect your thoughts to put them here.

(There’s nothing as effective to learn than interacting with others.)

More from Santiago

Santiago
Santiago
@svpino
For a long time, I didn't understand how to use Virtual Environments in Python 🐍.

If this is just, let's end it here and now: 🧵👇

[2] Virtual Environments let you deal with the dependencies that your code has with external Python libraries.

It avoids having conflicts when your projects depend on different versions of the same library.

👇

[3] Let's imagine that you are building your first Python project and you install the "requests" library:

pip install requests

You get version 2.24.0 installed in your system.

👇

[4] A month later, you decide to work on your second project. It also needs the "requests" library.

But the latest version is not 2.24.0 anymore.

Now version 3 is available, and that's the one you want to use!

👇

[5] You could upgrade your entire system to version 3, but then you'll be potentially breaking the first project you built that depends on 2.24.0!

Can you imagine this happening on a server with many more applications running?

👇
MACHINE LEARNING
Santiago
Santiago
@svpino
A surprising situation.

A machine learning model predicting 3 classes ends up with these results:

• Class A: 90% accuracy
• Class B: 80% accuracy
• Class C: 70% accuracy

Class C seems to be the worst-performing.

But you know already that I'll say it isn't. ↓

Here is the correct answer: We don't know yet which class is the worst.

This is important to understand, so keep reading.

Many people make this same mistake every day and try to fix things that ain't broken.

We are missing something, so let's go and get it.

How about if we ask a friend to look at the dataset manually?

Let's say these are the results of our friend doing the job:

• Class A: 95% accuracy
• Class B: 100% accuracy
• Class C: 71% accuracy

Do you see what just happened?

The model is actually really accurate when predicting Class C! 70% versus 71% when done by a human.

Class B, however, is a disaster: 80% versus 100% when done manually.

Class B seems to be the worse performing class!

The work that our friend did is called a "baseline."

Without having it, it's hard to determine how good are the results of a model.

I've seen tons of money down a drain just because teams didn't create a baseline beforehand.

But now, that won't happen to you 😉.
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Santiago
Santiago
@svpino
10 machine learning YouTube videos.

On libraries, algorithms, and tools.

(If you want to start with machine learning, having a comprehensive set of hands-on tutorials you can always refer to is fundamental.)

🧵👇

1⃣ Notebooks are a fantastic way to code, experiment, and communicate your results.

Take a look at @CoreyMSchafer's fantastic 30-minute tutorial on Jupyter Notebooks.

https://t.co/HqE9yt8TkB


2⃣ The Pandas library is the gold-standard to manipulate structured data.

Check out @joejamesusa's "Pandas Tutorial. Intro to DataFrames."

https://t.co/aOLh0dcGF5


3⃣ Data visualization is key for anyone practicing machine learning.

Check out @blondiebytes's "Learn Matplotlib in 6 minutes" tutorial.

https://t.co/QxjsODI1HB


4⃣ Another trendy data visualization library is Seaborn.

@NewThinkTank put together "Seaborn Tutorial 2020," which I highly recommend.

https://t.co/eAU5NBucbm
MACHINE LEARNING
Santiago
Santiago
@svpino
11 short programming problems to stretch your imagination and make sure you are staying on your toes.

(Starting with the simple ones, they get more fun as you move towards the end.)

🧵👇

1. Write a function that reverses an array in place.

In other words, the function should not use an auxiliary array to do the work.

2. Write a function that finds the missing number in an unsorted array containing every one of the other 99 numbers ranging from 1 to 100.

3. Write a function that finds the duplicate number in an unsorted array containing every number from 1 to 100.

Only one of the numbers will appear twice.

4. Write a function that removes every duplicate value in an array.

There could be more than one value duplicated. You should remove all of them leaving a single copy of the value.
TECH
Santiago
Santiago
@svpino
Machine learning education is broken.

If you are preparing for a research position, you are good. If you are looking to get out there and start solving problems, not even close.

Here are some thoughts so you can get ahead.

↓

Most classes, courses, and books cover the same road.

They start with a dataset. They finish with a working model. The focus is always on everything that happens in between.

Dataset → Model.

This is great, but not enough.

Real-life situations rarely start with a dataset, and they never end after you finish building your model.

Applying machine learning successfully is hard.

Here are a few examples that you should keep in mind.

First challenge: Properly framing up the problem.

If you don't understand the problem, you can't determine what data you need. If you don't understand the data, you can't build a good model.

I've never seen a company that had their data ready to go.

In fact, most of them don't even have data at all and need you to determine what exactly they should start collecting.

You usually have to go Problem → Potential Solution → Data.
ALL

More from All

Jaya_Upadhyaya
Jaya_Upadhyaya
@Jayalko1
SRI MOOKAMBIKA DEVI, KOLLUR (KAR)

There was an Asura, Kaumasura, who was doing penance to please Shiva and get a boon. To prevent him from asking for a boon, Devi Saraswati made him dumb (hence called Mookasur)
Later, Adi Parashakti slayed him and came to be called Mookambika.


It is said that Adi Shankaracharya had a vision in which Devi agreed to follow him provided he did not look back. He kept walking and was assured of her presence due to the sound of anklets. When he reached here in Kollur, he turned back as the sound of anklets had stopped.


So Devi stayed here and merged with the lingam. The place came to be called Mookambika Kshetram.
The linga has integrated on it’s left side MahaKali, Maha Lakshmi and Maha Saraswathi and on the right side- Brahma, Vishnu and Shiva.


A swarna rekha (gold line) divides this linga into left and right portion. Adi Shakthi in this Udhbhavlinga form appears only here.
Devi sits in padmasana and has 4 hands.
Adi Shankaracharya installed the Sri Chakra in front of Devi and also composed the Soundarya Lahiri here.
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Anu Satheesh
Anu Satheesh
@AnuSatheesh5
Alathiyur Hanuman Temple
Malappuram, Kerala 🚩
#keralatemples

One of the Powerful Anjaneya Temples in Kerala. Hanuman temple is adjacent to Shri Ramar Sannidhi. Here Hanuman's head is tilted towards the left to hear Shri Rama's words. Shri Rama is entrusting Hanuman👇


Task of locating Mata Sita in Lanka.

Prathishta of Hanuman is done by Sage Vasishta. Eventhough this is Shri Ram Temple, importance is given to Hanuman
Shri Rama shares with Hanuman the Abhignana Vaakhyam, the words that would enable him to gain the confidence of Mata Seetha.


Hanuman stands leaning a little towards the left, showing how he hear Shri Rama's words and also assuring him Your Wish is my Command.
The Vigraham of Hanuman gives us the Strength, Confidence and Bhakthi.
There is a place marked here to show Hanuman’s leap to Lanka over sea.


Devotees run and leap over the stone for better health.Aval Naivedhyam is famous here. Those children who have nightmares are told to pray Alathiyur Hanuman. Mantra 👇

Alathiyur Hanumane
Pedi Swampnam kanarudhe
Pedi Swapnam Kandalo
Val Kondu Thattiyunarthename
🙏🕉🙏
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Vibhu Vashisth
Vibhu Vashisth
@VIBHU_Tweet
RANI NAIKI DEVI AND THE BATTLE OF KASAHRADA

Mohammad Ghori, the young Ghurid Prince conquered Ghaznavids in Afghanistan in the year 1173 CE. He conducted some successful raids into the Indian territory, which even Mahmud Ghazni & the Persians couldn't do.


First&foremost,Ghori invaded states of Multan &Uch in India.After this he turned to southern states of Gujarat &Rajputana.Everybody knows this about Ghori,but what most pple r unaware of is the defeat he suffered at hands of Chalukyan Queen Naiki Devi in 1178 Battle of Kasahrada.


When he marched southwards, his first target was the prosperous fortified town of Anhilwara Patan.
It was the capital of Chalukyas(also known as Solankis of Gujarat) which was established by Vanraj of Chapotkata Dynasty in 8th century.


American historian Tertius Chandler states that it was the 10th largest city in the world at that time. The history of Chalukyas has been written by many historians, but the valour of the Great Queen Naiki Devi remains unsung.


Born to the Kadamba King Paramardin of Goa,Naiki Devi was well trained in sword fighting, horse riding, strategy & every other subject of Statesmanship. She was married to King Ajaypala of Gujarat who sat on throne in 1171CE. Unfortunately,the King died within 4 yrs of his rule.
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Ax
Ax
@AchuthArora
@Artofphysique_ @buzz_chronicles @rattibha @SaveToBookmarks save as Workouts
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Ben Meer
Ben Meer
@SystemSunday
The best morning routine?

Starts the night before.

9 evening habits that make all the difference:

1. Write down tomorrow's 3:3:3 plan

• 3 hours on your most important project
• 3 shorter tasks
• 3 maintenance activities

Defining a "productive day" is crucial.

Or else you'll never be at peace (even with excellent output).

Learn more


2. End the workday with a shutdown ritual

Create a short shutdown ritual (hat-tip to Cal Newport). Close your laptop, plug in the charger, spend 2 minutes tidying your desk. Then say, "shutdown."

Separating your life and work is key.

3. Journal 1 beautiful life moment

Delicious tacos, presentation you crushed, a moment of inner peace. Write it down.

Gratitude programs a mindset of abundance.

4. Lay out clothes

Get exercise clothes ready for tomorrow. Upon waking up, jump rope for 2 mins. It will activate your mind + body.
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Dr. Thomas Binder, MD
Dr. Thomas Binder, MD
@Thomas_Binder
1/12

RT-PCR corona (test) scam

Symptomatic people are tested for one and only one respiratory virus. This means that other acute respiratory infections are reclassified as


2/12

It is tested exquisitely with a hypersensitive non-specific RT-PCR test / Ct >35 (>30 is nonsense, >35 is madness), without considering Ct and clinical context. This means that more acute respiratory infections are reclassified as


3/12

The Drosten RT-PCR test is fabricated in a way that each country and laboratory perform it differently at too high Ct and that the high rate of false positives increases massively due to cross-reaction with other (corona) viruses in the "flu


4/12

Even asymptomatic, previously called healthy, people are tested (en masse) in this way, although there is no epidemiologically relevant asymptomatic transmission. This means that even healthy people are declared as COVID


5/12

Deaths within 28 days after a positive RT-PCR test from whatever cause are designated as deaths WITH COVID. This means that other causes of death are reclassified as
CATEGORY C19
WAKE UP AUSTRALIA WAKE UP
WAKE UP AUSTRALIA WAKE...
@WakeAustralia
Facebook originally a CIA program called "LifeLog".
LifeLog, via DARPA, terminated on Feb 4th, 2004.
Facebook was launched on Feb 4th, 2004.
Many of the LifeLog team became execs at FB.
Zuckerberg is a figurehead.
CIA allowed Cambridge to help Trump win

https://t.co/enzOXDCogV


Pentagon Kills LifeLog
BUSINESS
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Anu Satheesh \U0001f1ee\U0001f1f3
Anu Satheesh 🇮🇳...
@AnuSatheesh5
#Guruvayur_Krishna_Bhakthi  🕉
#Guruvayur
#Storytime
Beautiful Story of Guruvayurappan

Poonathanam Namboothiri was a great devotee of Guruvayurappan. One day Poonthanam was going to Guruvayur Kshetram. It was night time and eventhough Namboothiri was tired he continued to walk


Suddenly some thieves came and blocked his way. Poonthanam cried for Shri Krishna to help. Thieves snatched all valuables from him, but Namboothiri holding his Bhaghavatam book called Shri Krishna to help. That time a man came in a horse back and fought with thieves and protected


Namboothiri. Poonthanam thanked Krishna for helping him from danger and said to the man that "Shri Krishna has send you here and I don't know how to thank you".  The man smiled and told that he is Mangattachan, minister of  samoodhiris. Poonthanam once again thanked him and


gave his ring to Mangattachan as a token of thanks and continued his journey. He reached Guruvayur early morning for Nirmalya Darshan. Temple poojari came near him and told that Guruvayurappan came in his dreams and asked to hand over the ring to poonthanam.


When he opened Kshetra Nada poonthanam was surprised to see his ring on Guruvayurappan, which he gifted to Mangattachan. He understood that it was Guruvayurappan who came as Mangattachan to protect him. This is how Bhagwan treat his devotees.

Hare Krishna
🙏🕉🙏
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Vibhu Vashisth
Vibhu Vashisth
@VIBHU_Tweet
🌺श्री गरुड़ पुराण - संक्षिप्त वर्णन🌺

हिन्दु धर्म के 18 पुराणों में से एक गरुड़ पुराण का हिन्दु धर्म में बड़ा महत्व है। गरुड़ पुराण में मृत्यु के बाद सद्गती की व्याख्या मिलती है। इस पुराण के अधिष्ठातृ देव भगवान विष्णु हैं, इसलिए ये वैष्णव पुराण है।


गरुड़ पुराण के अनुसार हमारे कर्मों का फल हमें हमारे जीवन-काल में तो मिलता ही है परंतु मृत्यु के बाद भी अच्छे बुरे कार्यों का उनके अनुसार फल मिलता है। इस कारण इस पुराण में निहित ज्ञान को प्राप्त करने के लिए घर के किसी सदस्य की मृत्यु के बाद का समय निर्धारित किया गया है...

..ताकि उस समय हम जीवन-मरण से जुड़े सभी सत्य जान सकें और मृत्यु के कारण बिछडने वाले सदस्य का दुख कम हो सके।
गरुड़ पुराण में विष्णु की भक्ति व अवतारों का विस्तार से उसी प्रकार वर्णन मिलता है जिस प्रकार भगवत पुराण में।आरम्भ में मनु से सृष्टि की उत्पत्ति,ध्रुव चरित्र की कथा मिलती है।


तदुपरांत सुर्य व चंद्र ग्रहों के मंत्र, शिव-पार्वती मंत्र,इन्द्र सम्बंधित मंत्र,सरस्वती मंत्र और नौ शक्तियों के बारे में विस्तार से बताया गया है।
इस पुराण में उन्नीस हज़ार श्लोक बताए जाते हैं और इसे दो भागों में कहा जाता है।
प्रथम भाग में विष्णुभक्ति और पूजा विधियों का उल्लेख है।

मृत्यु के उपरांत गरुड़ पुराण के श्रवण का प्रावधान है ।
पुराण के द्वितीय भाग में 'प्रेतकल्प' का विस्तार से वर्णन और नरकों में जीव के पड़ने का वृत्तांत मिलता है। मरने के बाद मनुष्य की क्या गति होती है, उसका किस प्रकार की योनियों में जन्म होता है, प्रेत योनि से मुक्ति के उपाय...
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Bartosz Ziembinski
Bartosz Ziembinski
@zmbnski
Still wondering about this 🤔


save as q
Q