Discover and read the best of Twitter Threads about #Programming

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Fantastic Bioinformatics Courses and Where to Find Them!

Diving into Bioinformatics is absolutely worthy and it could be much easier with these FREE online and open sources

A thread ... 🧵 (1/n)
#Bioinformatics #biology #Biologia #programming #freecourses #learning #RStats Image
(2/n) Introduction to programming for Bioinformatics with Python

Python is fundamental in Bioinformatics analyses. This course will let you learn Python programming for biological data manipulation and scientific research

Level: All levels
udemy.com/course/python_…
(3/n) Genomics Workshop by The Carpentries

Open source lessons from The Carpentries @thecarpentries on Cloud computing and analysis of sequencing samples using the cloud
Level: Intermediate/Advanced
datacarpentry.org/genomics-works…
Read 9 tweets
1/ "Software is eating the world. Machine learning is eating software. Transformers are eating machine learning."

Let's understand what these Transformers are all about

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #pythoncode #AI #DataAnalytics
2/ #Transformers architecture follows Encoder and Decoder structure.

The encoder receives input sequence and creates intermediate representation by applying embedding and attention mechanism.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #pythoncode #AI
3/ Then, this intermediate representation or hidden state will pass through the decoder, and the decoder starts generating an output sequence.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #pythoncode #AI #DataScientist #DataAnalytics #Statistics
Read 14 tweets
But what p-value means in #MachineLearning - A thread

It tells you how likely it is that your data could have occurred under the null hypothesis

1/n

#DataScience #DeepLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #Math #Stat
2/n
What Is a Null Hypothesis?

A null hypothesis is a type of statistical hypothesis that proposes that no statistical significance exists in a set of given observations.

#DataScience #MachineLearning #100DaysOfMLCode #Python #stat #Statistics #Data #AI #Math #deeplearning
3/n
A P-value is the probability of obtaining an effect at least as extreme as the one in your sample data, assuming the truth of the null hypothesis

#DataScience #MachineLearning #100DaysOfMLCode #Python #DataScientist #Statistics #Data #DataAnalytics #AI #Math
Read 11 tweets
1/ One way to test whether a time series is stationary is to perform an augmented Dickey-Fuller test - A Thread

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #pythoncode #AI #DataScientist #DataAnalytics #Statistics #programming #ArtificialIntelligence
2/ H0: The time series is non-stationary. In other words, it has some time-dependent structure and does not have constant variance over time.

HA: The time series is stationary.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #pythoncode #AI #DataScientist
3/ If the p-value from the test is less than some significance level (e.g. α = .05), then we can reject the null hypothesis and conclude that the time series is stationary.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #pythoncode #AI #DataScientist
Read 8 tweets
50+ Project Ideas For Frontend Web Developers ⚡

A Thread🧵👇🏻

#webdev #javascript #programming
❒ ❒ ❒ Beginner Friendly ❒ ❒ ❒

➠ Landing Page
➠ Login/Sign up Page
➠ Covid-19 Tracker
➠ Notes App
➠ Food Delivery Website
➠ Portfolio
➠ Ecommerce Website
➠ Alarm App
➠ Image Gallery
➠ Image Editor
❒ ❒ ❒ Intermediate ❒ ❒ ❒

➠ Game With JavaScript
➠ Blog Website
➠ Crypto Tracker
➠ Document Editor
➠ Chat App
➠ Operating System Dummy
➠ Productivity App
➠ Marketplace App
➠ Language Learning App
➠ Booking App
➠ Admin Dashboard
➠ Travel App
Read 6 tweets
2/ It is important to standardize variables before running Cluster Analysis. It is because cluster analysis techniques depend on the concept of measuring the distance between the different observations we're trying to cluster.

#DataScience #MachineLearning #DeepLearning
3/ If a variable is measured at a higher scale than the other variables, then whatever measure we use will be overly influenced by that variable.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #pythoncode #AI #DataScientist #DataAnalytics #Statistics
Read 16 tweets
Did you know how TensorFlow can run on a single mobile device as well as on an entire data center? Read this thread

1/n

#TensorFlow #DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data
2/n
Google has designed TensorFlow such that it is capable of dividing a large model graph whenever needed.

#TensorFlow #DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #Math #Stat #AI
3/n
It assigns special SEND and RECV nodes whenever a graph is divided between multiple devices (CPUs or GPUs).

#TensorFlow #DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #Math #Stat #AI
Read 9 tweets
2/16

"roc_auc_score" is defined as the area under the ROC curve, which is the curve having False Positive Rate on the x-axis and True Positive Rate on the y-axis at all classification thresholds.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python
Read 16 tweets
2/n

Alibi Detect is a Python library for detecting outliers, adversarial data, and drift. Accommodates tabular data, text, images, and time series that can be used both online and offline. Both TensorFlow and PyTorch backends are supported

#DataScience #DeepLearning
3/n

Supports a variety of outlier detection techniques, including Mahalanobis distance, Isolation forest, and Seq2seq

#DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #Math #Stat #pythoncode
Read 10 tweets
1/ Can you classify something without seeing it before - that's what Zero-Shot Learning is all about - A Thread

👉 One of the popular methods for zero-shot learning is Natural Language Inference (NLI).

#DataScience #DeepLearning #MachineLearning #100DaysOfMLCode #Pytho
3/ In Zero-shot classification, we ask the model to classify a sentence to one of the classes (label) that the model hasn't seen during training.

#DataScience #MachineLearning #100DaysOfMLCode #DataScientist #Statistics #programming #ArtificialIntelligence #Data #pythoncode #AI
Read 13 tweets
1/ Why do we need the bias term in ML algorithms such as linear regression and neural networks ? - A thread

#DataScience #MachineLearning #100DaysOfMLCode #DataScientist #Statistics #programming #ArtificialIntelligence #Data #pythoncode #AI #Stats #DeepLearning #100DaysOfCode Image
2/ In linear regression, without the bias term your solution has to go through the origin. That is, when all of your features are zero, your predicted value would also have to be zero.

#DataScience #MachineLearning #100DaysOfMLCode #DataScientist #Statistics #programming Image
Read 7 tweets
What is p-value - A thread

It tells you how likely it is that your data could have occurred under the null hypothesis.

1/n

#DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #Math #Stat Image
2/n
What Is a Null Hypothesis?

A null hypothesis is a type of statistical hypothesis that proposes that no statistical significance exists in a set of given observations.

#DataScience #MachineLearning #100DaysOfMLCode #Python #stat #Statistics #Data #AI #Math #deeplearning
3/n
A P-value is the probability of obtaining an effect at least as extreme as the one in your sample data, assuming the truth of the null hypothesis

#DataScience #MachineLearning #100DaysOfMLCode #Python #DataScientist #Statistics #Data #DataAnalytics #AI #Math
Read 10 tweets
1/ #MachineLearning #Interview questsion -
Why L1 regularizations causes parameter sparsity whereas L2 regularization does not?

#DataScience #MachineLearning #100DaysOfMLCode #DataScientist #Statistics #programming #ArtificialIntelligence #Data #pythoncode #AI #Stats
2/ L1 & L2 regularization add constraints to the optimization problem. The curve H0 is the hypothesis. The solution to this system is the set of points where the H0 meets the constraints.

#DataScience #MachineLearning #100DaysOfMLCode #DataScientist #Statistics #programming Image
3/ Regularizations in statistics or in the field of machine learning is used to include some extra information in order to solve a problem in a better way.

#DataScience #MachineLearning #100DaysOfMLCode #DataScientist #Statistics #programming #ArtificialIntelligence #Data
Read 7 tweets
On granularity of tests focused on behaviour.

#tdd #bdd #testing #programming

🧵1/22
A function is one of the smallest units of behaviour. Given an input, it returns the output.

This means that given the context (input), the function's behaviour can be verified by calling the function and looking at the outcome (output).

🧵2/22 Pure function
Notice that the most straightforward outcome to verify is the function's return value, but it's not the only outcome we can look for. Functions can have side effects, modify state, interact with collaborators, etc.

🧵3/22
Read 22 tweets
🧵 My top 10 list of the IT books that helped me the most during my career.
1. Inside the Machine by Jon Stokes oreilly.com/library/view/i…
An insightful book to understand how a CPU works and help in earning some mechanical sympathy.
2. How Linux Works by @bricsuc oreilly.com/library/view/h… #linux
The best book, in my opinion, on Linux. A must-read as Linux today is absolutely everywhere. It provides most of the content every developer should be aware of.
Read 11 tweets
This past weekend there was a major announcement by the @anacondainc team at #PyCon2022 - the launch of PyScript, an in-HTML interface for Python. This is something that many of us in the Python community have been hoping for for a long time.

#Python #Web #Programming

1/6
Key features include:

•Python in the browser: Enable drop-in content, external file hosting, and application hosting without the reliance on server-side configuration

2/6
•Python ecosystem: Run many popular packages of Python and the scientific stack (such as numpy, pandas, scikit-learn, and more)
•Python with JavaScript: Bi-directional communication between Python and Javascript objects and namespaces

3/6
Read 6 tweets
Solidity özelinde "Zero To Hero" formatında hazırladığım teknik yazılara daha rahat erişim için pinliyorum.
Mevcut yazılarımı ve yeni gelecek olan yazılarımı buradan takip edebilirsiniz.

#solidity #zero2hero
Akıllı Sözleşme(Smart Contract) Nedir? konulu yazım:

veliuysal.medium.com/akıllı-sözleşm…

#solidity #programming #smartcontract #zero2hero
Read 18 tweets
#programming #code #UX #design

A mock up of a way to visually organise code in a more intuitive way.
I also use value (brightness) to establish a heirarchy of importance to draw your eye function decs like titles of a chapter.
The value of the line numbers also reflects this, keeping our focus on the code.
Even just dimming any line with no characters helps you connect the code to the numbers.
Read 9 tweets
Yes! That is exactly what I was thinking! This helps really break down the structure in a visual way, really good for people like me with ADHD who have trouble scanning long texts.

Can someone develop this background boxing for Rider?

#programming
@JetBrainsRider
Ideally, to ensure the block boxes are fairly muted and subtle, with very faint darker borders rather than bright borders which stop the eye scanning...
It could have a palette of defined colours for functions and ienumerators it detects, but then you can pick a color...
For each function declaration by, something like right clicking a tiny square on the top left and selecting it there.

Another option would be to define the visual spaces between two block boxes, and be able to customise how the first line appears- does it have a brighter...
Read 8 tweets
When I trained as a scientist, #programming was a required tool in some select areas of #physics & #maths but not much beyond that…

That's no longer the case. #Coding is rapidly becoming a must-have skill in all scientific fields

Read on…

👇🪡🧵

#ScientificComputing

1/4
In recent years, I have introduced #Python #coding to chemists, biologists, psychologists, medical scientists, geologists, well, the list goes on.

Suffice to say that it spans all areas of science.

Why?

2/4
All of these teams and individuals realise that either they have large amounts of data they need to analyse in all sorts of different ways, or they need to simulate experiments and create computational models.

#Python is often the language of choice in many of these fields.

3/4
Read 4 tweets
Happy Birthday 🎂 ThePythonCodingBook.com
You're turning 1 🕯️ in a few days' time.

I'm still shocked how almost 20,000 people visit every month just from organic traffic.

A number of posts have done extremely well.

Here are the top five:

#python #coding #100daysofcode

1/8
In #5th place:

The White Room analogy that explains a lot of what's happening in #programming using a mental image that everyone can relate to.

thepythoncodingbook.com/understanding-…

#python #100daysofcode

2/8
In #4th place:

This fun project designed to practise using lists, tuples, dictionaries, and sets in a fun turtle-based animation.

thepythoncodingbook.com/2021/10/31/usi…

#python #turtle #datastructures

3/8
Read 8 tweets
If you're a Data Scientist who wants to be a better developer or builder, here's a thread on how to do it. There's so much bad advice out there, and I hope this helps clear things up.
1/8
#DataScience #MachineLearning #Programming
1. Spend a year coding as part of a team. Have people review your code and participate in code reviews. This will help you unlearn many bad habits. You'll also get exposure to different styles and best practices.
2/8
#DataScience #MachineLearning #Programming
2. Build traditional software engineering type projects. Services and Web Apps are great because you'll learn fundamental coding skills.

You'll have to Google a lot which is a software engineering superpower.
3/8
#DataScience #MachineLearning #Programming
Read 8 tweets

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