D_SPIRIT_MAN @DSPIRITMAN2
I don't give up, no matter what Joined March 2020-
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If I were to start my Machine Learning career from scratch (as an engineer), I'd focus here (no specific order): 1. SQL 2. Python 3. ML fundamentals 4. DSA 5. Testing 6. Prob, stats, lin. alg 7. Problem solving And building as much as possible.
7 baby steps to start with machine learning: 1. Start with Python 2. Learn to use Google Colab 3. Take a Pandas tutorial 4. Then a Seaborn tutorial 5. Decision Trees is a good first algorithm 6. Finish Kaggle's "Intro to Machine Learning" 7. Solve the Titanic challenge
Things I'd focus on in 2024 to become an end-to-end ML engineer: 1. Algos and data struct. 2. Python 3. SQL, NoSQL 4. Data analysis 5. ML fundamentals 6. ML algorithms 7. Cloud computing 8. Production ML 9. Prob & Stats 10. Communication (You don't need everything here.)
AI/ML will dominate the next few decades. Thanks to Machine Learning, my life changed forever. I now teach a live program called "Building Machine Learning Systems." It's a hands-on class. It's hard-core. It's challenging. There's nothing else out there like it. These are some…
Machine Learning is all about solving problems. You can watch a video or read a book, but writing the code is what really matters. Practice beats theory. I come from a time when school was the only way to learn. Today, you can access the best platform in the world to practice…
20 extremely useful single-line Python codes - fully explained Python Data Structures : clcoding.com/2024/01/python…
Free 10 week Python Course youtube.com/playlist?list=…
50 Algorithms Every Programmer Should Know amzn.to/3OkMDcS
Duke University is offering FREE courses 🔥 💻 Computer Science 🐍 Python 🚀 Machine Learning 📊 Data Science 🕹️ SQL 🤖 Machine Learning Projects Here are 5 FREE courses to become skilled in 2024
Python Workout: 50 ten-minute exercises clcoding.com/2024/01/python…
50 Algorithms Every Programmer Should Know: An unbeatable arsenal of algorithmic solutions for real-world problems Detailed Analysis : clcoding.com/2024/01/50-alg…
Try this free book pdf. Learn Python quickly.
Try this free book pdf. Learn Python quickly.
How to create AI applications using private LLMs. Free session covering the following topics: • Best practices for integrating private LLMs • AWS Bedrock, LangChain • Live demo and interactive code session Monday, Dec 4th at 10 am PST Register: events.singlestore.com/using-aws-bedr…
Here is a free course to master training and fine-tuning Large Language Models. 60+ videos and tutorials about training, fine-tuning, and deploying LLMs for production applications. The course will take approximately 40 hours. It combines theory, foundational concepts, novel…
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This is one of the books I recommend to my students at ml.school: Machine Learning Engineering with Python. I like the book for three reasons: 1. It's full of practical examples. This is not a theoretical book. Its main goal is to teach you how to accomplish…
There are 5 ways you can test a model in production. We always talk about evaluating models using a subset of the data. We call this a "test" or "validation" set. This is important but insufficient. If you want to know if your model works and is better than its previous…
Here is what many people do when training a model: 1. Transform their dataset 2. Then split it (train, validation, and test sets) 3. Finally, build the model There's a big problem here. Unfortunately, many make this mistake. To understand what happens, let's focus on what we…
So Sad to hear about this. I also got a report of 2 young people who died suddenly this week without prior sickness. I thought to share about some possible things that can cause death in young people and what to do. Please if you are less than 45 years. Please read & share
So Sad to hear about this. I also got a report of 2 young people who died suddenly this week without prior sickness. I thought to share about some possible things that can cause death in young people and what to do. Please if you are less than 45 years. Please read & share
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