What is Your Favorite ML Library? Answered by @SumanthP
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What is Your Favorite ML Library? Answered by @SumanthP

AssemblyAI 27.12.2022 456 просмотров 8 лайков

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The end of the year is coming close but this doesn't mean that learning should end! In the last series of the year, we are counting down to the end of the year with 15 creators. Each day a new creator will answer a community question in a quick and informative video. Sumanth tells us what his favorite ML library is on today's video. Check out Sumanth's YouTube channel: https://www.youtube.com/@SumanthP Connect with Sumanth on Twitter: https://twitter.com/sumanth_077 ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬ 🖥️ Website: https://www.assemblyai.com 🐦 Twitter: https://twitter.com/AssemblyAI 🦾 Discord: https://discord.gg/Cd8MyVJAXd ▶️ Subscribe: https://www.youtube.com/c/AssemblyAI?sub_confirmation=1 🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #MachineLearning #DeepLearning

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Segment 1 (00:00 - 02:00)

foreign I am a ml engineer a developer Advocate and a content creator also one of the creators in assembly ai's creators program so in this video I would like to answer two questions one is my favorite ml library and the second one is the best ml book that I just recommend you to read in 2023 so the first one the favorite ml Library well there are a whole lot of libraries when it comes to machine learning and we have been using all those libraries in the machine learning life cycle ride from data collection to data processing data validation model building model deployment so and there are a whole lot of libraries for all these tasks like let's say pandas numpy matplotlib C born sk11 tensorflow all these libraries right so it's very difficult to pick one favorite ml Library so every library has its own specific use case and with the combination of all these we can able to build a great ml application so I would like to take this video as a chance to give a shout out to all the creators who have created these awesome ml libraries uh which are obviously helping us to build great ml applications so yeah and the second one is the best read in 2023 is a gpt3 we all have seen how disruptive the generative AI space has been in 2022 with all these large language models and also the recent Sensations like chart gbt so this trend is gonna even rise in 2023 so this book will help you understand how these large language models work especially gpd3 and also will help you understand how one can build a great gpd3 powered product so it will help you with that hope you like this and thanks for watching

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