Learn the fundamentals! It's important to have a strong foundation in mathematics, it helps you to stand out. Here's a great place to start https://
coursera.org/specialization
s/mathematics-machine-learning
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@akshay_pachaar
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Master Mathematics Fundamentals for Machine Learning Success
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7 Essential Data Science Career Tips for Beginners
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I started my career in Data Science back in 2016 Here are 7 tips for those starting out today! A Thread
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Free Workshop: Create Custom Chat Data LLMs
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A FREE hands-on workshop to learn how to create custom chat & data LLMs. June 22 | 9 am PST The 2-hour workshop teaches you to create state-of-the-art custom LLMs on your knowledge base & create AI agents to perform various tasks. You can register now http://
eventbrite.com/e/free-hands-o
n-workshop-create-custom-chat-data-llms-tickets-650105110887
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Python AI ML Data Analysis MLOps Tutorials Daily
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That's a wrap! If you interested in: – Python – AI/ML – Data Analysis – MLOps – CV/NLP – LLMs Find me → @akshay_pachaar Everyday, I share tutorials on above topics! Check my tutorial on merging in Pandas!
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Free AI Course Certification Worth the Investment
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Finally the Certification All of the above course are FREE! Certification is paid, but it's worth to get one given the time you've invested in learning. A high return of investment & greatly valued in the industry! Check this out
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ML on Graphs: Solving Problems Traditional Methods Failed
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That's a wrap! I build maps for a living, we have used ML on graphs to solve problems where traditional methods failed. Sharing these resources based on my experience!! Find me → @akshay_pachaar Everyday, I share tutorials around ML! Check one of my older threads
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StellarGraph and PyTorch Geometric: ML Libraries for Graph Processing
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StellarGraph | PyTorch Geometric Two of the best libraries to apply ML on graphs right away. Both have great documentation & example to get started! StellarGraph for TensorFlow folks https://
stellargraph.readthedocs.io/en/stable/ PyTorch Geometric for PyTorch folks https://
pytorch-geometric.readthedocs.io/en/latest/ -
Stanford CS224W: Machine Learning with Graphs Course
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Stanford CS224W: Machine Learning with Graphs Offered by Stanford, a comprehensive course for ML on Graphs. Check this out https://
youtube.com/playlist?list=
PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn
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GNNs Fundamentals: YouTube Playlist and Expert Talks
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GNNs by AI Overloards A fantastic YouTube playlist for grasping the fundamentals! Also featuring invited talks by industry experts using ML on Graphs. Check this out https://
youtube.com/playlist?list=
PLSgGvve8UweGx4_6hhrF3n4wpHf_RV76_
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Graph Neural Networks Foundations: Message Passing and Node Embedding
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Foundations of Graph Neural Networks By @PetarV_93 (Scientist at DeepMind) The perfect starting point! What you'll learn:
– GNNs from first principles
– Message passing on graphs
– Node Embedding
– Geometric Deep Learning Check this