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I learned a lot from this video, thanks 'mate'. I have 2 questions. 1. Several people have asked for the full source code, I believe you answered you still have it somewhere. Could you please make it available? If this is not possible, please let us know so we can stop begging. 2. I think you do agree that this is not a 2000 ELO chess engine. What you mean to say is that it was trained with >2000 ELO. Would your code reach 2000 ELO with better training? Or do you have ideas how the code could be improved?

thank you for such a consise yet valuable introduction. I hope your family and friends are safe, am israel chai

like Hadoop. CUDA do the same but in diffrent area...also Kubernetes...in another area..

17:01 losting Nc4 is not a 2000 ELO move.

This is realy "The ONLY PySpark Tutorial You Will Ever Need" - Thanks for the video! IL on the map!

can we get source code

Beautiful ❤️❤️😍.. Such a master piece my pal.

Brilliantly explained!!!

Like

This video is better than going through the long playlists to get the same information. Thanks for providing crisp information.

Thank you for saving me. THANK YOU.

W❤W! That’s Incredibly Awesome!

Great video. Really helpful!!!

Link to source code please

You saved my Pyspark exam of today! Thank you❤

Great tutorial! Is there any chance you could link the full code?

Great work 👍

Just 5 mins into the video yet it feels so much soothing and uncomplicated to watch this video . Great job buddy! Even if you made a full video covering all the full 4 parts including streaming and graph x I would still watch it because your explanation was very pleasant to watch!

Great video. Thank you for your job!

Great Tutorial, Thanks!

Great summary of Spark! Fantastic job Moran!

Wow. I appreciate your preciseness and brevity, you done a great job, and even bigger effort to describe it so simply!

Xould you make a tutorial on how to make it uci compatible so we can play against it in chess intefaces and make it play against other bots

It is really The ONLY PySpark Tutorial We Will Ever Need.

I tried replicating it but it did not end well. Can you please provide the full code :)

Very nice video! Can you share the code tho?

Thumbnail description is completely aligned with the video content. Thanks

excellent

really really enjoyed ur video. you should really make more , you would do amazing!!

Awesome explanation dude 😊

Good stuff🎉

can you please make quick video guide for Scala? plz.. I'm in urgent need I loved your video , your most awesome concise lecturer good Day @Moran

can we change the CNN by MLP, ig it can capture the whole board better then CNN

Thank

does this perform better than minimax?

Thanks a lot for this great intro man, very clear :)

Great video it explain a lot about GANs where can i find the dataset you used???

Can u send us the full code link?

Thank you for this video. PySpark is becoming clearer

amazing job ! thanks

Hello, would you be able to share the colab notebook for this project? I would like to create a chess neural network of my own and this looks amazing!

Thank you for the video.

very nice tutorial! is there any chance you could link the full code?

Brilliantly covered the essence of PySpark in crisp & clear manner ... Kudos to you man!🥳 Thanks for the efforts.🙏 This one time TH-cam suggestions algo did a perfect job 🤗

Great video, very informative, thank you.

Hello! This is a great video. In the ChessNet class, could you explain what PolicyNet is? And also where the predict(x) function comes from in choose_move()? Thanks so much!

How to install pyspark

Amazing

@moranreznik could you please provide the full code?

Hello! I loved your video. Would you please share your code with me so I can take a look at it? It would be of great inspiration for a little project I am trying to put together. Thanks!