Here is the list of resources to learn Data Structures and Algorithms from beginner to advance:

📑 Prerequisite - MIT's Mathematics for Computer Science:
🔸 https://lnkd.in/ejdPkSs

📌 Khan Academy - Intro to algorithms:
🔸 https://lnkd.in/e8ZUWwz

📌 Introduction to Algorithms Book by Charles E. Leiserson, Clifford Stein, Ronald Rivest, and Thomas H. Cormen:
🔸 https://lnkd.in/e8iqvwn

📌 GeeksforGeeks - Data Structures Tutorials:
🔸https://lnkd.in/eiFACVV

📌 MIT - Introduction to Algorithms:
🔸 https://lnkd.in/eKavb3T

📌 Coursera - Data Structures and Algorithms Specialization:
🔸 https://lnkd.in/eDk8ZuY

📌 Coursera - Algorithms Specialization:
🔸 https://lnkd.in/ejJw5TV

📌 MIT - Advanced Data Structures:
🔸 https://lnkd.in/eKA7FD2

📌 GeeksforGeeks - Advanced Data Structures Tutorials:
🔸 https://lnkd.in/eu2J-Bm

💡 I also found this interesting website which explains Data Structures and Algorithms through animations -

🔸 https://visualgo.net/en



#datastructures #algorithms #mathematics #machinelearning #computerscience

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Human Centered AI Initiative: a personal vision of how #neuroscience #psychology #ai #physics #mathematics and other fields can work together to both understand biological intelligence and create artificial intelligence! https://hai.stanford.edu/news/the_intertwined_quest_for_understanding_biological_intelligence_and_creating_artificial_intelligence/

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🗣 @AI_Python_Arxiv
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On intelligence: its creation and understanding

The intertwined quest for understanding biological intelligence and creating artificial intelligence.

By Surya Ganguli, Stanford Human Centered AI Initiative:

https://lnkd.in/ezciPda

#neuroscience #ai #physics #mathematics

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🗣 @AI_Python_Arxiv
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Interested in research on the interface of #evolution, systems and molecular #biology, #mathematics, and #statistics? Apply now to join the Evolutionary Dynamics lab IGCiencia as a postdoc, programmer, or PhD student! https://evoldynamics.org/positions Please spread the word!

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🗣 @AI_Python_arXiv
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Foundations Built for a General Theory of Neural Networks

"Neural networks can be as unpredictable as they are powerful. Now mathematicians are beginning to reveal how a neural network’s form will influence its function."

Article by Kevin Hartnett: https://lnkd.in/eZa5eyX

#artificialneuralnetworks #artificalintelligence #deeplearning #neuralnetworks #mathematics

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🗣 @AI_Python_Arxiv
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A Brief History of Data Science (Pre-2010, i.e. prior to rise of deep learning & popular usage of the term "data science")
#
Note: Modified original version of infographic to add 3 seminal developments in the history of Artificial Intelligence:

- 1943: Artificial neuron model (McCulloch & Pitts)
- 1950: Turing Test (Alan Turing)
- 1956: Dartmouth Conference (McCarthy, Minsky, Shannon)

#datascience #statistics #analytics #machinelearning #bigdata #artificialintelligence #innovation #technology #history #ai #datamining #informatics #infographics #informationtechnology #computerscience #dataanalysis #deeplearning #neuroscience #mathematics #science

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#Mathematics for #artificialintelligence

https://rubikscode.net/2019/04/29/mathematics-for-artificial-intelligence-linear-algebra/

Here is a #MachineLearning math quiz for you.

There are several loss functions (0-1, logarithmic, quadratic, exponential etc) and there is a risk function as well.

Can you define your own loss function?
#mathematics #deeplearning
#ai
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Mish is now even supported on YOLO v3 backend. Couldn't have been more elated with how rewarding this project has been. Link to repository -

https://github.com/digantamisra98/Mish

#neuralnetworks #mathematics #algorithms #deeplearning #machinelearning

❇️ @AI_Python_EN

MIT Technology Review:
A #NeuralNet solves the three-body problem 100 million times faster

#MachineLearning #mathematics

🔰 NeuralNet

🔰 Paper

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