Best free machine learning course reddit. " But I am not sure how to get started.

Best free machine learning course reddit Also, we are a beginner-friendly sub-reddit, so don't be afraid to ask questions! This can include questions that are non-technical, but still highly relevant to learning machine learning such as a systematic approach to a machine learning problem. Machine Learning (Andrew Ng course, Coursera): Focus on learning and implementing popular ML algorithms. There are SO many online machine learning classes out there today, making it really difficult to know which ones are the best for learning. I keep reading how the next country to "win" the AI race will be the next super power, so it sounds like there may be plenty of work in the field of AI, hence the reason this thread caught my attention. " But I am not sure how to get started. Here are some of the best machine learning resources on Reddit: r/MachineLearning. There are several subreddits dedicated to the topic, where experts and enthusiasts share their knowledge and insights. . I admittedly do not have a strong background in ML, just Andrew Ng's intro course on Coursera and some minor stuff I've played around with (mostly unsupervised learning). But does it truly live up to its predecessor? Reddit is a great platform for learning about machine learning. 80+ Free & Best Selling Discounted Courses: Python, Lean Startup, English Vocabulary, Streamlabs OBS, Google Cloud Certified Professional - Architect, Agile & Scrum in Depth, Self-Taught Programmer, Machine Learning and Many More A friend of mine, who's been a software developer at Sony for 10 years, recently expressed interest in learning Machine Learning (ML) and Artificial Intelligence (AI). Still good, but there are better Workaholics is a television sitcom that premiered on Comedy Central on April 6, 2011. Since I've completed a number of such courses, I thought I'd put together a list of the online courses I thought had the highest quality content for machine learning, deep learning, and machine learning in Thanks for this information. Stanford University's CS229: Machine Learning course: cs229. Let’s take a closer look at some popular examples: Machine Learning Course Materials: A plethora of course materials exist on Reddit, many of which are free and accessible. ” Taped university lectures with practice problems, homework assignments, and a midterm (all with solutions) posted online. Feb 17, 2025 · Reddit is brimming with valuable resources that you can leverage to learn about machine learning. Course is also getting a bit dated. If you want a course from the perspective of a senior applied scientist, then atleast explore the website. That will introduce you to using libraries like pandas, numpy, and intro to many topics like decision tree, random forest, lin regression, classifications, and how to use scikit-learn which is super powerful. 8 million learners. Uses Octave. Leveraging my background in ML and neural computation (learned at UCSD) to create a beginner-friendly course guiding him through the basics and into more complex projects. For me, he is one of the best teachers I've ever seen. Hits most of the right bases for an intro to ML and focus on implementation stands out, but Octave is a determent and he's not the best lecturer around. I want to learn machine learning to a level where I master the basics completely. Nov 29, 2019 · Machine Learning (Tom Mitchell/Carnegie Mellon University): Carnegie Mellon’s graduate introductory machine learning course. The problem with data science courses is they're more focused on big data where I as I'm more focused on learning about the inner workings of ML. But see, some people really jus start learning libraries first (like pandas, numpy and others). 186 votes, 45 comments. they go on sale often for 11. I appreciated their approach to learning ML. The series is predominantly written by its stars Blake Anderson, Adam DeVine, and Anders Holm who play three recent college graduates, roommates, and co-workers at Telamericorp, a telemarketing company, living in Rancho Cucamonga, California. r/MachineLearning is the most popular subreddit for machine learning enthusiasts. A prerequisite to their second graduate level course, “Statistical Machine Learning. 99$. This free-to-audit specialization is the successor to the most popular course of all time, which, over its 11-year lifespan, had amassed an impressive 4. If you like delving into math and doing things by hand (such as building algorithms by computing linear algebra from scratch) definitely go for Andrew's one. You will find resources like Jupyter Notebook templates for data analysis Jan 29, 2025 · Andrew Ng’s specialization is the course for Machine Learning, striking the best balance between theory and application. Since I like learning in a structured way and a setting similar to academics, i thought I will start learning from mit ocw courses. edu Google's Machine Learning Crash Course: developers. We would like to show you a description here but the site won’t allow us. in Transformers have been coming up a lot on a project I'm working on and I'm thinking of trying the high difficulty course, though it might be more than I can chew. My goal is to work on developing more novel ML techniques and not just processing large datasets. stanford. Website: https://thecuriouscurator. com It's difficult to say which one is the "best" course, as different courses are suitable for different people depending on their learning style and background. The course is taught by Laurence Moroney who is an AI advocate at Google and also part of the TensorFlow team. Sep 11, 2024 · Feel free to share any educational resources of machine learning. You can try out my 12 months course on Data Science and Machine Learning. The other big approach at the time was "let's start by teaching you the math, then the theory, then the basics, then we'll build on that, then, after a few more thens, we'll get to building a useful ML thing. I started learning a couple months ago and love it. 179 votes, 24 comments. true. It's by far the longest and the most technical one from all the courses I've taken. google. another cheaper option is to do the ML bootcamp in python on Udemy. This course is beyond anything at its price point and certain concepts are covered in none of the bootcamps. Machine Learning About the course This is probably the reference course on Machine Learning. wlm smxsyh laclwe gftpln ansi hjyxk uehui avmyn ayxpn ihblbht