Artificial Intelligence

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Machine Learning Glossary  |  Google Developers Compilation of key machine-learning and TensorFlow terms, with beginner-friendly definitions. 🤓 https://developers.google.com/machine-learning/glossary/

7 Free Platforms for Building a Strong Data Science Portfolio👇👇 https://www.kdnuggets.com/2022/10/7-free-platforms-building-strong-data-science-portfolio.html

Complete Machine Learning by Krish Naik in 6 Hours👇👇 https://youtu.be/JxgmHe2NyeY

Cheatsheets of AI and Data Science - https://github.com/Niraj-Lunavat/Artificial-Intelligence

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Master the art of Machine Learning and python by Learning from Real World Advanced Projects designed & developed by real developers. 󰞪Are you one who knows the basics of Python/Machine Learning/Deep Learning/ Data Science/ Computer Vision or NLP but has not practiced on Real World Advanced Projects? 󰞪Are you in the final year of your college but have not made any real-world projects till now? Or are you a professional who wants to switch to a Data-Oriented job but does not have any real-world projects to showcase in your resume? Don’t worry dude... We have something for you. This Dragon bundle is divided into two modules, 📌Module 1: 350+ Machine Learning Projects. 📌Module 2: 200+ Advanced Python Projects. ➡️ Get the complete list of projects from our website (Link is in the bio). ⚫But Why? ➡️ Learn by working like a professional developer. ➡️ Build a GitHub portfolio that impresses the recruiters. ➡️ Stand out with real proof of work. ➡️ It's more than 550+ real-world projects, almost in every area you are going to work in the field of Machine Learning. All Projects come with source code in Python3 and dataset. Also, each project comes with proper documentation, requirements, and the HowtoRun instructions file so that even beginners can understand the logic and workflow behind the projects. For more details, visit our website. WE HAVE CHANGED OUR DOMAIN NAME FROM TENSORPROJECTS.COM TO “TENSORCODE.IO”. ⏩ Link https://tensorcode.io/dragonbundle/

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Free Maths For Machine Learning Course Overview: Part 01: Linear Algebra and Mathematical Foundation Part 02: Analytic Geometry Part 03: Matrix Decomposition Part 04: Vector Calculus Part 05: Statistics Part 06: Empirical Risk Minimization Theory https://www.youtube.com/playlist?list=PLaU7MWI8yG9Uxszchxz-M0u-765vnu6g9

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If you're new to the field of Computer Science, AI, Data Science or any of the other tech areas, and are looking for a job, please realize that the first job you look for is also the hardest. They are very experience-driven, so there's a chicken-and-egg situation. Can't get experience without a job, but can't get a job without experience. Just keep swimming. It will happen. Don't give up! (Credits: Laurence)

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