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Getting into machine learning is quite the adventure. And as any adventurer knows, sometimes it can be helpful to have a compass to figure out if you’re heading in the right direction. Although the title of this video says machine learning roadmap, you should treat it as a compass. Explore it, follow your curiosity, learn something and use what you learn to create your next steps. Links: Interactive Machine Learning Roadmap – https://dbourke.link/mlmap Machine Learning Roadmap Resources – https://github.com/mrdbourke/machine-learning-roadmap Learn ML (beginner-friendly courses I teach) – https://www.mrdbourke.com/ml-courses/ ML courses/books I recommend – https://www.mrdbourke.com/ml-resources/ Read my novel Charlie Walks – https://www.charliewalks.com Timestamps: 0:00 – Hello & logistics 0:57 – PART 0: INTRO 1:42 – Brief overview of topics 3:05 – What is machine learning? 4:37 – Machine learning vs. traditional programming 7:41 – Why use machine learning? 8:44 – The number 1 rule of machine learning 10:45 – What is machine learning good for? 14:27 – How Tesla uses machine learning 17:57 – What we’re going to cover in this video 20:52 – PART 1: Machine Learning Problems 22:27 – Categories of learning 26:17 – Machine learning problem domains 29:04 – Classification 33:57 – Regression 39:35 – PART 2: Machine Learning Process 41:57 – 6 major steps in a machine learning project 43:57 – Data collection 49:15 – Data preparation 1:04:00 – Training a model 1:23:33 – Analysis/evaluation 1:26:40 – Serving a model 1:29:09 – Retraining a model 1:30:07 – An example machine learning project 1:33:15 – PART 3: Machine Learning [More]
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In this video, we will look into a parallel conquering technique to learn machine learning from scratch. This video will teach you how to learn machine learning for programmers. Machine learning is a very popular field when it comes to programming domains. Download PDF Here: https://codewithharry.com/blogpost/complete-ml-roadmap-for-beginners TimeStamps: 00:00 – Introduction 01:30 – Step 1: Learn a Language 06:04 – Step 2: Algebra Resources 07:40 – Step 3: Parallel Conquering Technique 10:00 – Step 4: ML Algorithms Resources 14:20 – Step 5: Python Libraries Resources 14:50 – Step 6: Learning Deployment ►Checkout my English channel here: https://www.youtube.com/ProgrammingWithHarry ►Click here to subscribe – https://www.youtube.com/channel/UCeVMnSShP_Iviwkknt83cww Best Hindi Videos For Learning Programming: ►Learn Python In One Video – https://www.youtube.com/watch?v=ihk_Xglr164 ►Python Complete Course In Hindi – https://www.youtube.com/playlist?list=PLu0W_9lII9agICnT8t4iYVSZ3eykIAOME ►C Language Complete Course In Hindi – https://www.youtube.com/playlist?list=PLu0W_9lII9aiXlHcLx-mDH1Qul38wD3aR&disable_polymer=true ►JavaScript Complete Course In Hindi – https://www.youtube.com/playlist?list=PLu0W_9lII9ajyk081To1Cbt2eI5913SsL ►Learn JavaScript in One Video – https://www.youtube.com/watch?v=onbBV0uFVpo ►Learn PHP In One Video – https://www.youtube.com/watch?v=xW7ro3lwaCI ►Django Complete Course In Hindi – https://www.youtube.com/playlist?list=PLu0W_9lII9ah7DDtYtflgwMwpT3xmjXY9 ►Machine Learning Using Python – https://www.youtube.com/playlist?list=PLu0W_9lII9ai6fAMHp-acBmJONT7Y4BSG ►Creating & Hosting A Website (Tech Blog) Using Python – https://www.youtube.com/playlist?list=PLu0W_9lII9agAiWp6Y41ueUKx1VcTRxmf ►Advanced Python Tutorials – https://www.youtube.com/playlist?list=PLu0W_9lII9aiJWQ7VhY712fuimEpQZYp4 ►Object Oriented Programming In Python – https://www.youtube.com/playlist?list=PLu0W_9lII9ahfRrhFcoB-4lpp9YaBmdCP ►Python Data Science and Big Data Tutorials – https://www.youtube.com/playlist?list=PLu0W_9lII9agK8pojo23OHiNz3Jm6VQCH Follow Me On Social Media ►Website (created using Flask) – http://www.codewithharry.com ►Facebook – https://www.facebook.com/CodeWithHarry ►Instagram – https://www.instagram.com/codewithharry/ ►Personal Facebook A/c – https://www.facebook.com/geekyharis Twitter – https://twitter.com/Haris_Is_Here
Machine Learning Engineer Roadmap: Step by step 6 months learning roadmap for machine learning engineer career. Most of the resources mentioned in this roadmap are free resources. Please follow below steps for learning requires skills for machine learning engineer: https://github.com/codebasics/roadmaps/blob/master/machine-learning-engineer-roadmap-2021/ml_engineer_roadmap_2021.md ⭐️ Timestamps ⭐️ 0:00 Why machine learning? 0:45 Computer Science Fundamentals 1:39 Programming skills 2:22 Data Structure and Algorithms 5:13 Databases 7:51 Numpy, Pandas, matplotlib 11:06 Math and Statistics for ML 12:36 Machine learning 16:19 Deep learning 18:41 Use ML Lifecycle tools Extra Tips ========== * Discord server: Making group and buddies * Participate in kaggle competitions and solve problems 🌎 My Website For Video Courses: https://codebasics.io/ Need help building software or data analytics and AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. 🔖Hashtags🔖 #machinelearningroadmap #machinelearning #mlroadmap #mlengineer #roadmaptomachinelearning #completeroadmapformachinelearning #mlengineerroadmap 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🔗 Discord: https://discord.gg/r42Kbuk 📸 Instagram: https://www.instagram.com/codebasicshub/ 🔊 Facebook: https://www.facebook.com/codebasicshub 📱 Twitter: https://twitter.com/codebasicshub 📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/ 📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/ ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers’.