BC MACHINE LEARNING

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Pratham Prasoon
@PrasoonPratham 5 years, 5 months ago 1086 views

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Are you planning to learning machine learning this year?

These are the Python frameworks you need to learn as an absolute beginner.

🧵👇

It can be overwhelming seeing all the machine learning frameworks at once and not even knowing what they do.

I made this thread so that your machine learning journey becomes just a little bit easier.

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This thread will only focus on Python frameworks.

Why?
Because Python is the most common path into machine learning.

( If you have experience with any other language then learning Python will not be difficult at all. )

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Here's the entire list:

- Pandas
- Numpy
- Matplotlib
- TensorFlow
- PyTorch
- Keras
- Scikit Learn

Let's see what they do.

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You'll have to interact with csv files or databases on a regular basis to access data in machine learning, pandas helps you do just that.

The cool thing about Pandas is that it actually doesn't change the original data...

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.. and instead creates a copy of the csv or database as a python array in the RAM.

We use Numpy in order to change the shape of the data we just pulled using Pandas, the arrays are converted to special numpy arrays which are much faster than Python's default ones.

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Matplotlib is used to visualize data, bar graphs, line plots, pie charts... you get the point.

These are the frameworks that you will have to use extensively throughout your machine learning journey.

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Now comes the tougher part, TensorFlow, Pytorch, Keras or Scikit learn? Or all? or neither?....

It depends on personal preference.

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TensorFlow, Keras and Pytorch generally do the same thing in different syntax.

SciKit learn has a bunch of scientific tools which you might need here and there.

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Here's what I suggest, try making a convolutionary neural network for the MNIST dataset with all of these and then decide which one is right for you.

I personally use TensorFlow + ScikitLearn, it might not work for you.

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More from Pratham Prasoon

Pratham
@PrasoonPratham

There are a million machine learning tutorials and courses out there which makes it really hard to choose the right one for you.

Here are some that I really like that you might find useful.
🧵 👇🏻

Before we begin, here's some unsolicited advice.

It is not about how many courses you take that matters but the problems that you solve with your knowledge.

You can take any combination of courses and tutorials from this list that you think will be useful.

Python crash course by Traversy Media (YouTube)

• Introduces you to a lot of basic concepts in Python
• Only 1.5 hours long

Intermediate Python course (YouTube)

• Helps you understand some of the more difficult concepts in Python

The neural networks series by 3blue1brown (YouTube)

• Visually explains neural networks
• Short and concise

Pratham
@PrasoonPratham

This is a beginner's guide on mining cryptocurrencies.

🧵 👇🏻

Mining 101

Typically, when you transfer money using a service like Paypal, they take a small cut for facilitating the exchange.

In cryptocurrencies, people like you and me act as Paypal and facilitate exchanges of cryptocurrency. We get a cut for this just like Paypal did.

In order to make these transactions happen, our computers need to do some calculations which requires a lot of computational power.

A GPU or a Graphics Processing Unit which is typically marketed for gaming workloads can be used to mine cryptocurrencies.

Why do you need a GPU?

Today, there are so many miners that the "difficulty" of mining cryptocurrencies has skyrocketed, which basically means it takes a lot of computational power to mine crypto which GPUs can provide and CPUs cannot.

(❗ This is an oversimplification)

If you are interested in the inner workings of how blockchain and cryptocurrency, then I highly suggest that you read this thread by @oliverjumpertz

What actually is a Blockchain?

Bitcoin is breaking record after record, but there must be more to the technology than just crypto, or not? Well, we can take a look at the underlying technology first to understand what it actually provides to us.

\U0001f9f5\u2b07\ufe0f
— Oliver Jumpertz (@oliverjumpertz) February 16, 2021

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Pratham Prasoon
@PrasoonPratham

Are you planning to learn Python for machine learning this year?

Here's everything you need to get started.
🧵👇

In this thread, we'll look at all the concepts in Python you need to know for machine learning along with free resources to help you out.

All of this is based on my experience of successfully teaching 300+ students how to code using Python.

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You can use many languages for machine learning, why Python?

Because of 2 reasons:
- Comparatively easier to learn than other languages
- Has the biggest and most mature community

This makes Python a no-brainer to learn for machine learning as a beginner.

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These are the absolute basics which you must know about:

- Basic terminal commands
- Basic arithmetic (+,-,/,*)
- Accepting user input
- For & While loops
- Exception handling
- If-Else statements
- Functions, modules & Imports

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Then comes the more tougher concepts which you must know about:

- Object oriented programming in Python:Classes, Objects, Methods
- PIP (Pypi)
- List slicing
- String formatting
- Dictionaries & Tuples
- Managing environments
- Dunder methods like __init__

(5 / 19)

Pratham Prasoon
@PrasoonPratham

Can you get a job in data science and machine learning without a college degree?

🧵👇

Short Answer: Yes.

Long Answer, keep reading 👇

(Advice from industry experts who I talked to.)

Companies are looking for people who add value.
In order to add value, you'll need skills. Simple as that.

Get the skills to provide value and you'll get the job.

In the age of the internet where everything is pretty much free, why do college degrees matter?

A college degree makes it easier to get the skills to get a job in machine learning or data science.

College degrees also help you make many useful connections and provides many opportunities in the form of internships and whatnot.

College degrees have their own place

Pratham Prasoon
@PrasoonPratham

Machine learning terms you must know about as a beginner.

🧵👇

These terms won't mean anything unless you know what Machine learning is all about.

> Machine learning is the process of making a program which allows a computer to learn from data.

The data could be anything, images, audio or even text.

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In machine learning we use something called a neural network, this is essentially an imitation of the human brain.

> Neural Networks are a digital imitation of the neurons you see in the human brain.

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In these neural networks, data flows through them and each neuron (the circle) has a numerical value which will change.

> The value of a neuron gets changes to something which is close to what we want each time the data passes through the neural network.

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Think of the neurons as dials on a lock, you have to tune every dial to open the lock.

It is almost impossible for a human to tune thousands of dials like these, but a computer certainly can.

(5 / 11)

More from Machine learning

Pratham Prasoon
@PrasoonPratham

Can you get a job in data science and machine learning without a college degree?

🧵👇

Short Answer: Yes.

Long Answer, keep reading 👇

(Advice from industry experts who I talked to.)

Companies are looking for people who add value.
In order to add value, you'll need skills. Simple as that.

Get the skills to provide value and you'll get the job.

In the age of the internet where everything is pretty much free, why do college degrees matter?

A college degree makes it easier to get the skills to get a job in machine learning or data science.

College degrees also help you make many useful connections and provides many opportunities in the form of internships and whatnot.

College degrees have their own place

Santiago
@svpino

The 8-step quick-start guide to learn Machine Learning.

🧵👇

1⃣ Start with Python 🐍

Yes, you can do other languages, but Python is by far the most straightforward option.

👇

2⃣ Get familiar with numpy, pandas, and matplotlib

These three libraries are probably the most common Python libraries you'll have to use every day.

(Even if you don't end up doing machine learning, these libraries are awesome and useful.)

👇

3⃣ Start using notebooks

Look into Jupyter or Google Colab.

Notebooks are essential for data scientists and machine learning practitioners. Most of the code you'll read and write will be in notebooks.

👇

4⃣ Find a problem (already solved)

In my opinion, the best way to start is by working through a problem —especially when you can learn from its solution.

Start with something simple. I usually recommend "Titanic" from Kaggle.

👇

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Caio Rolla
@caio_rolla

Starting a new project using #Angular? Here is a list of all the stuff i use to launch my projects the fastest i can.

A THREAD 👇

Have you heard about Monorepo? I created one with all my Angular (and Nest) projects using https://t.co/aY5llDtXg8.

I can share A LOT of code with it. Ex: Everytime i start a new project, i just need to import an Auth lib, that i created, and all Auth related stuff is set up.

Everyone in the Angular community knows about https://t.co/kDnunQZnxE. It's not the most beautiful component library out there, but it's good and easy to work with.

There's a bunch of state management solutions for Angular, but https://t.co/RJwpn74Qev is by far my favorite.

There's a lot of boilerplate, but you can solve this with the built-in schematics and/or with your own schematics

Are you not using custom schematics yet? Take a look at this:

https://t.co/iLrIaHVafm
https://t.co/3382Tn2k7C

You can automate all the boilerplate with hundreds of files associates with creating a new feature.

Pratham Prasoon
@PrasoonPratham

Machine Learning for the Web developer in 2021.

The beginner's guide.

🧵👇

I started machine learning as a web developer, if I can do it then anyone can.

This carefully curated thread will give you key insights into my journey and how you can make this transition, seamlessly.

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"Machine learning is not what you think it is"

One of the main reasons why people find it difficult to get started with machine learning is because of the lack of information, and rightfully so.

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Machine learning as a concept has existed since the 1950s, but has only become popular in recent years because of the exponential rise of advancements in computer hardware.

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In short, it because of the sudden rise of this technology ,which was previously unknown to the general public, that there is a lot of misinformation around it.

(5 / 14)

Santiago
@svpino

An introduction to one of the the most basic structures used in machine learning: a tensor.

🧵👇

Tensors are the data structure used by machine learning systems, and getting to know them is an essential skill you should build early on.

A tensor is a container for numerical data. It is the way we store the information that we'll use within our system.

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Three primary attributes define a tensor:

▫️ Its rank
▫️ Its shape
▫️ Its data type

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The rank of a tensor refers to the tensor's number of axes.

Examples:

▫️ The rank of a matrix is 2 because it has two axes.
▫️ The rank of a vector is 1 because it has a single axis.

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The shape of a tensor describes the number of dimensions along each axis.

Example:

▫️ A square matrix may have (3, 3) dimensions.
▫️ A tensor of rank 3 may have (2, 5, 7) dimensions.

(5 / 16)

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SK
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Sri Sanjeevi Rayar Temple located in Ayyangar Kulam,near Kanchipuram,TN

#Thread

Ancient but beautiful temple dedicated to Hanuman. This temple is a legendary one. According to the Sthala Puranam of Sanjeevi Rayar temple,it is associated with an episode from Ramayana.

Legend story -Hanuman was flying from Himalayas to Lanka bearing Sanjeevi hill to revive Lakshmana during battle between Rama& Ravana, a piece of the Sanjeevi Parvat fell at this place.Many believe this legendary story & even today that no one here dies of any kind of poisoning.

From historical background of the temple it is known that temple was originally built by a great scholar &administrator Kotikanyadanam Lakshmikumara Tatacharya. Temple itself&village were named following name of great scholar Tatacharya, who was then popularly known as Ayyangar.

He was the royal preceptor of Vijayanagara emperor Venkata Raya who had his capital at Chandragiri in AP.Upon returning from a pilgrimage,robbers tried to attack Tatacharya at this place. Being a great devotee of Hanuman,he instantly composed a poem in Sanskrit praising Hanuman.

The bandits immediately ran away &Tatacharya decided to build a temple dedicated to Anjaneya at that very place.This Sanskrit poem is called Hanumad Vimshati, has been inscribed in Grantha script inside this temple.The huge temple tank called Tatasamudram, in honor of Tatacharya.

Vibhu Vashisth
@VIBHU_Tweet

AGAMA SHASTRA:THE SCIENCE BEHIND THE MARVELS OF HINDU ARCHITECTURE

Agama Shastra is a Sanskrit word that means the manual for worship, temple building, rituals etc in Hindu Tradition.From Sanskrit,agama means handed down by tradition and Shastra means a commentary or treatise.

Therefore, Agama Shastra is a collection of ideas that drafts the rules for worship, temple construction, spirituality and rituals. It has been a guideline for many Hindus from ancient times. It's a collection of Sanskrit, Tamil and Grantha scriptures that mostly contains...

...methods of temple construction, idol creation, philosophical doctrines and meditative practices. It came into being after years of assimiliation and from a variety of sources. Some parts of it are pre-vedic while some are post-vedic.

Hindu Temples are not just temples, they are the pride and identity of Hindus. They are the symbols of Hindu unity and their religious aspirations. Temples are the places of spiritual healing and are our connection with the creator almighty.

Temples are the priceless treasure of our History, Heritage ,Art & Architecture. Architecture that mesmerises and spell bounds you. And Agama Shastra is that very text which is responsible for such a mesmerising and spell binding quality and beauty of our Hindu Temples.

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V.S.S
@Scion_of_Shekha

8 March 1679 - The date on which 300 saffron clad warriors gave their life to protect temples from mugal army. Thread➡️
Aurangzeb's huge army, which was adorned with artillery, elephant and horses, under the leadership of Commander Darab Khan had marched to punish the ruler of/1

Khandela Raja Bahadur Singh, who became a rebel due to the anti-Hindu policies of Aurangzeb, and to destroy the temples of Shekhawati. Bahadur Singh to compete with such a large army, vacated Khandela for the purpose of conducting guerilla warfare and went Kot Sakrai /2

located in the inaccessible hills of Sakrai. People of Khandela also vacated Khandela and hid in nearby villages.

But some Shekhawat warriors did not like this as they knew that the royal army would not leave a single temple located in Shekhawati unbroken./3

so soon the teams of self-sacrificing Dharma-protectors Shekhawat heroes started reaching Khandela to protect the Dev temples.

Sujan Singh Shekhawat, the young thakur of Chhapoli, was coming back from his wedding when he heard about the imperial army from Shepherds./4

झिरमीर झिरमिर मेहा बरसे,मोरां छतरी छाई |
कुल में है तो आव सुजाण, फोज देवरे आई ||

if you are born in your glorious clan, then come, the army have come to destroy temple. /5

Ryan Caldbeck
@ryan_caldbeck

1/ I am seeing more and more founder secondary in venture rounds (Secondary = founders selling some of their shares before some other shareholders are able). Series B-D. I see both as an investor and through entrepreneur circles.

2/ I like secondary for entrepreneurs. Moderation is key but in a lot of situations I think it helps accelerate the co. Lots of very smart investors disagree. Here are my thoughts.

3/ Magnitude: My basic rule of thumb from what I see is market is 4+ yrs and up to 10% of founder’s equity stake with some $ cap that makes sense given stage etc. (typically <$10m)

4/ The entrepreneurial journey is brutally hard. Giving some financial relief helps remove one piece of pressure. I don’t think that secondary in the magnitude mentioned impacts the drive/persistence of great entrepreneurs.

5/ That secondary means they will be able to just sleep knowing they can pay their kids’ tuition. Secondary will make most founders better at their jobs, thus accelerating the co.

Jaya_Upadhyaya
@Jayalko1

MEENAKSHI AMMAN, MADURAI (TN)
#bharatmandir #navratri2021

A paadal Petra sthalam where Shiva took the form of Sundareswarar (the handsome one) and married Devi Parvati (Meenakshi).
Devi is also known by the name Angayarkanni (mother with the beautiful fish eyes).
@GunduHuDuGa

Devi Meenakshi emerged from yagna fire as a 3 year old girl when Pandyan King Malayadwaja and Kanchanamalai were praying for a child.
It is said that Devi was born with three breasts and there was a prophesy that her superfluous breast would melt away when she met her husband.

Devi ruled over Madurai and captured Indralok. She went on to capture Kailasha. When she saw Shiva, her 3rd breast disappeared and she realised that Shiva would be her consort.
The divine marriage was attended by all Devas and Sri Vishnu (as her brother) gave her hand to Shiva.

It is said that Indra found a swayambhu lingam at Kadamba Vanam. He placed it in Madurai where the kshetram stands. Here, Shiva is seen on the vehicle of Indra.
The Golden Lotus Tank is said to be the place where a golden lotus blossomed for the puja performed by Indra.

The Meenakshi Thirukalyanam festival is celebrated in the Chithirai month to mark the divine marriage of Meenakshi Amman. The festival includes a procession where Meenakshi and Sundareshwara travel in a chariot and Sri Vishnu gives away his sister in marriage to Shiva.