Let'S Educate Drive Search

Let'S Educate Drive Search

Let'S Educate
πŸ“„1. Firebase Machine Learning Kit (Ml Kit)_.mp4 (31.16MB)
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πŸ“„17.Machine Learning.pdf (198.18KB)
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πŸ“„060 Building a Machine Learning Model.en.srt (9.86KB)
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πŸ“„060 Building a Machine Learning Model.mp4 (39.46MB)
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πŸ“„059 Introduction to Machine Learning.en.srt (18.61KB)
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πŸ“„059 Introduction to Machine Learning.mp4 (109.12MB)
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πŸ“„003 Applications of Machine Learning.en.srt (14.17KB)
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πŸ“„001 Basic Example of Machine Learning.mp4 (36.03MB)
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πŸ“„001 Basic Example of Machine Learning.en.srt (7.68KB)
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πŸ“„067 Machine Learning and its incredible benefits.en.srt (23.19KB)
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πŸ“„067 Machine Learning and its incredible benefits.mp4 (284.98MB)
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πŸ“„061 Study Developments in Machine Learning Detailed.html (12.89KB)
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πŸ“„[GigaCourse.Com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022.tar (16.32GB)
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πŸ“„2- Machine Learning in Action-kauybajxj5.mp4 (18.75MB)
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πŸ“„6- A Real Machine Learning Problem-igofscv1sl.mp4 (137.33MB)
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πŸ“„1- What is Machine Learning-2amad63x3v.mp4 (27.2MB)
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πŸ“„The Hundred-Page Machine Learning Book - Burkov.pdf (6.98MB)
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πŸ“„The Computational Complexity of Machine Learning - Kearns.pdf (6.62MB)
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πŸ“„Quantum Machine Learning What Quantum Computing Means to Data Mining - Wittek.pdf (2.35MB)
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πŸ“„Pattern Recognition and Machine Learning - Bishop.pdf (17.25MB)
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πŸ“„Natural Language Annotation for Machine Learning - Pustejovsky and Stubbs.pdf (10.42MB)
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πŸ“„Machine Learning for Vision-based Motion Analysis Theory and Techniques - Wang.pdf (14.21MB)
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πŸ“„Machine Learning for Text - Aggarwal.pdf (3.66MB)
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πŸ“„Machine Learning for Dynamic Software Analysis Potentials and Limits - Bennaceur, HΓ€hnle, and Meinke.pdf (7.48MB)
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πŸ“„Machine Learning for Computer Vision - Cipolla, Battiato, and Farinell.pdf (10.54MB)
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πŸ“„Machine Learning and Knowledge Discovery in Databases - Buntine.pdf (14.8MB)
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πŸ“„Machine Learning A Constraint-based Approach - Gori.pdf (4.19MB)
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πŸ“„Learning with Kernel Support Vector Machines, Regularization, Optimization, and Beyond - SchΓΆlkopf and Smola.pdf (103.34MB)
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πŸ“„Learning Theory and Kernel Machines - SchΓΆlkopf and Warmuth.pdf (15.92MB)
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πŸ“„Kinesthetic Perception A Machine Learning Approach - Chaudhuri and Bhardwaj.pdf (5.93MB)
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πŸ“„HandsOn Machine Learning with ScikitLearn and TensorFlow - Geron.pdf (39.66MB)
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πŸ“„Generative Deep Learning Teaching Machines to Paint, Write, Compose, and Play - Foster.pdf (29.19MB)
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πŸ“„Data Mining Practical Machine Learning Tools and Techniques 4e - Witten.pdf (6.31MB)
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πŸ“„Computational Complexity of Machine Learning - Kearns.pdf (6.62MB)
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πŸ“„Algorithms In Machine Learning Paradigms - Mandal.pdf (7.85MB)
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πŸ“„Machine Learning in Medicine - a Complete Overview - Cleophas and Zwinderman.pdf (16.87MB)
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πŸ“„Linear Algebra and Optimization for Machine Learning A Textbook - Aggarwal.pdf (9.51MB)
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πŸ“„Probability for Statistics and Machine Learning Fundamentals and Advanced Topics - DasGupta.pdf (5.17MB)
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πŸ“„Financial Signal Processing and Machine Learning - Akansu, Kulkarni, and Malioutov.pdf (4.18MB)
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πŸ“„Machine Learning Yearning Technical Stratergy for AI Engineers, In the Era of Deep Learning - Ng.pdf (4.01MB)
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πŸ—‚οΈ25. CreateML - Building Your Own Machine Learning Model from Scratch (folder)
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πŸ—‚οΈ23. CoreML and Machine Learning (folder)
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πŸ—‚οΈModule 4_ Machine Learning - II( Supervised Learning Models) (folder)
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πŸ—‚οΈ1. Machine Learning High-Level Design (folder)
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πŸ—‚οΈModule 6_ Machine Learning Real-World Case Studies (folder)
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πŸ—‚οΈ[AppliedAI] Machine Learning Online Course (folder)
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πŸ—‚οΈMachine Learning Coding Questions (folder)
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πŸ—‚οΈMachine Learning Crash Course (folder)
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πŸ—‚οΈLarge Scale Machine Learning (folder)
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πŸ—‚οΈ34.Getting started with Machine Learning (folder)
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πŸ—‚οΈ35.Solving a Machine Learning Challenge (folder)
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πŸ—‚οΈ13- Machine Learning with Python (folder)
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πŸ—‚οΈ11- Machine Learning with Python (folder)
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πŸ—‚οΈ12. Bonus Data Engineering (And the role of Machine Learning) (folder)
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πŸ—‚οΈ08. Simple Machine Learning using OpenCV (folder)
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πŸ—‚οΈMachine Learning for Red Team Hackers (folder)
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πŸ—‚οΈ59. Case Study - Applying Machine Learning to Create the 'absenteeism_module' (folder)
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πŸ—‚οΈMachine Learning (folder)
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πŸ—‚οΈ16. Azure Machine Learning with AzureML SDK (folder)
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πŸ—‚οΈ14. Azure Machine Learning with Studio Designer (folder)
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