David Wybranietz

Das Neurokollektiv baut Technologie zur gemeinschaftlichen Nutzung kollektiver Inteligenz.

[David Wybranietz @d_wibbely]

Currently getting an "Error 503" for our Learnworlds school. Anyone else having problems? If yes where are you located?

[David Wybranietz @d_wibbely]

@dratsab69 @LearnWorlds We are experiencing problems in Germany as well. Where are you located?

[Damian Boeselager @d_boeselager]

Volt tritt für die Bundestagswahl an.

Wenn du nach diesem verrückten Tag mithelfen willst, dann komm jetzt dazu, wir brauchen dich.

Die Zeit des Zuschauens ist vorbei. Die Dinge laufen nicht einfach so von selbst.

Alle sind gefragt. Alle können helfen.

[David Wybranietz @d_wibbely]

@darioschramm @SWagenknecht Team Todenhöfer gibt es noch. Ist aber auch nicht viel ernster zu nehmen als die Horst-Schlemmer Partei.

[David Wybranietz @d_wibbely]

@roter_pander Ich würde mich auch über so einen Code freuen :)

[Saurav Jain (Open Source + Communities) @Sauain]

50 Resources to Learn Machine Learning:

- Youtube Channels:

➼ Sentdex
➼ Deeplearning[.]AI
➼ Two Minute Papers
➼ Artificial Intelligence-All in one
➼ Kaggle
➼ Krish Naik
➼ Data School
➼ Date Professor
➼ Jeremy Howard
➼ Arxiv Insights

- Free Courses:

➼ Machine Learning by Andrew Ng
➼ Practical ML by Scikit Learn
➼ Learn Keras
➼ Machine Learning by Google
➼ Machine Learning with Python IBM
➼ What is Machine Learning
➼ Scikit-learn in 3 hours
➼ ML & Linear Regression: Absolute Basics
➼ ML Full Course Edureka
➼ Intro to ML Udacity

- Blogs:

➼ Machine Learning Mastery
➼ KDNuggets
➼ Analytics Vidya
➼ Data Science 101
➼ Revolutions
➼ data36
➼ Google AI Blog
➼ Elite Data Science
➼ Data Science Dojo
➼ Datafloq

- Newsletters:

➼ Alpha Signal
➼ AI Disruptor
➼ Data Elixir
➼ Data Machina
➼ Deep Learning Weekly
➼ Data Science Weekly
➼ The Gradient
➼ Import AI
➼ The Algorithm- MIT Technology Review
➼ The Groundtruth

- Websites:

➼ Kaggle
➼ Machine Learning Mastery
➼ Papers with Code
➼ GoogleAI
➼ IBM Cognitive Class
➼ Datacamp
➼ freeCodeCamp
➼ edX
➼ Edureka
➼ Udacity

[Santiago @svpino]

To start with Machine Learning:

1. Learn Python
2. Practice using Google Colab

Take these 2 free courses:

• Introduction to Python Programming (Udacity)
• Machine Learning Crash Course (Google)

If you need a bit more time before diving deeper, finish the following Kaggle tutorials:

• Intro to Machine Learning
• Intermediate Machine Learning

At this point, you are ready to finish your first project: The Titanic Challenge on Kaggle.

If Math is not your strong suit, don't worry. I don't recommend you spend too much time learning Math before writing code. Instead, learn the concepts on-demand: Find what you need when needed.

From here, take the Machine Learning specialization in Coursera. It's more advanced, and it will stretch you out a bit.

The top universities worldwide have published their Machine Learning and Deep Learning classes online. Here are some of them:

• MIT 6.S191 Introduction to Deep Learning
• DS-GA 1008 Deep Learning
• UC Berkeley Full Stack Deep Learning
• UC Berkeley CS 182 Deep Learning
• Cornell Tech CS 5787 Applied Machine Learning

Many different books will help you. The attached image will give you an idea of my favorite ones.

Finally, keep these three ideas in mind:

1. Start by working on solved problems so you can find help whenever you get stuck.

2. ChatGPT will help you make progress. Use it to summarize complex concepts and generate questions you can answer to practice.

3. Find a community here on 𝕏 and share your work. Ask questions, and help others.

During this time, you'll deal with a lot. Sometimes, you will feel it's impossible to keep up with everything happening, and you'll be right.

Here are the good news:

Most people understand a tiny fraction of the world of Machine Learning. You don't need more to build a fantastic career in the space.

Focus on finding your path, and Write. More. Code.

That's how you win.

[elvis @omarsar0]

Just came across this on arXiv. An awesome book on graph theory.

If you are in computer science, graph theory is one of the most useful topics to study.

422 pages.

Publicly available here: https://t.co/RdZXzeCqPY

[François Chollet @fchollet]

Search interest over time, ChatGPT (blue) vs Minecraft (red).

There's an obvious factor that might well underlie both trends (down for ChatGPT, up for Minecraft). Can you guess what it is?

As it happens, the answer matters for both the future of AI and the future of education.

[Luke Sophinos @lukesophinos]

This guy made $50M+ by selling the same app twice.

The wild story of Nikita Bier 👇

[Brady Africk @bradyafr]

The front line in Ukraine spans hundreds of miles and includes a network of defenses built by Russian forces.

I shared data on Russia's fortifications with the @washingtonpost for this piece on the front line after a year of Russia's full-scale invasion: https://t.co/mefOkpK05Z

[Martin Fuchs 🦊 @wahl_beobachter]

Seit ein paar Jahren versuchen Start ups wie @joinpolitics_ & @BNBundestag Innovationen ins demokratische System zu tragen.

Funktioniert das? Wie nachhaltig ist das? 📜Jetzt gibts erste Begleitstudie von @thehertieschool. 🗣️Diskussion am 27.02.
https://t.co/Kl8GTBJqPr

[Martin Fuchs 🦊 @wahl_beobachter]

54 Millionen Deutsche nutzen Social Media!

Was bedeutet das für Politik, politische Kommunikation & Meinungsbildung? Der @Bitkom hat mal wieder Social Media-🇩🇪 vermesen.

Ein kleiner Thread. 🧵
1/9

[Naval @naval]

Great artists don’t study art history to figure out what art to create.

Great founders don’t analyze the market to figure out what product to build.

[Martin Fuchs 🦊 @wahl_beobachter]

Werde fast täglich gefragt: Wie macht man erfolgreiche (& inhaltsreiche) politische Videos auf #Tik Tok?

@TheDemocrats zeigen ihre Top 10 👇

Via @Nischwe 🙏
#politiktok

[David Wybranietz @d_wibbely]

@mspro Kann man für mehr Investmenttipps irgendwie in deine Whatsapp Gruppe kommen? 😄

[E L H O T Z O @elhotzo]

zu spät geboren um jemals ein Haus zu besitzen

zu früh geboren um durch die postnukleare Wüste zu wandern

exakt zur richtigen Zeit geboren, um mir von 3-5 Social Media-Apps das Gehirn so zerlöchern zu lassen bis ich keine zwei zusammenhängenden Gedanken mehr haben kann

[Amjad Masad @amasad]

Many have asked for a copy of this book, here are all the pages in this thread

[AT Protocol @at_protocol]

Hello world! https://t.co/aFwZ1Xu7Lv

[David Wybranietz @d_wibbely]

@tante The most usable comparison I see in the "Ready Player One" is Mark Zuckerberg being so close to the antagonist Nick Sorrento. They both want to claim something that does not belong to them and fill it with ads.