Python, NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow are FUNDAMENTAL skills for anyone learning data science and machine learning.
Master them tuning with these FREE resources.
Derrick Mwiti
9,149 posts
- Python, NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow are FUNDAMENTAL data science and machine learning skills. Master them with these FREE resources.
- Machine Learning Tools 🤖 Development • PyCharm • VScode • Jupyter Training • PyTorch Lightning • Scikit-Learn • TensorFlow • LightGBM • XGBoost • PyTorch Tuning • Keras tuner • Hyperopt • Optuna Optimization • SparseML Deployment / Packaging • Hugging Face
- Python, NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow are FUNDAMENTAL skills for anyone learning data science and machine learning. Master them tuning with these FREE resources:
- I started my career in machine learning back in 2017. Here are the 5 COURSES I took :
- Python, NumPy, Pandas, Matplotlib, and Scikit-learn are FUNDAMENTAL skills for anyone learning data science and machine learning 🤖 Master them tuning with these FREE resources 🔥 A Thread 🧵👇
- I started my career in data science and machine learning back in 2017 ⏳ I wrote a book on how to build a career as a technical writer in DS/ML✨ Today is my birthday, and I am giving the book for FREE 🎂 To receive: • Like, comment "Send" • Must be following so I can DM
- I started my career in machine learning back in 2017⌛️ Here are the 5 COURSES I took ✨: --A Thread-- 🔥
- Coursera is an amazing resource for learning data science and machine learning. Here are 4 amazing courses I have taken from Coursera:
- 4 amazing books for data science and machine learning 🤖 1️⃣ Building Machine Learning Powered Applications 2️⃣ Practical Machine Learning for Computer Vision 3️⃣ Building Machine Learning Pipelines 4️⃣ Desginig Machine Learing Sytems Check them out 👇🏻
- Fine-tuning a Llama 65B parameter model requires 780 GB of GPU memory. This kind of compute is outside the purview of most individuals. Thanks to parameter-efficient fine-tuning strategies, it is now possible to fine-tune a 7B parameter model on a single GPU, like the one
- Coursera is an amazing resource for learning data science and machine learning 🤖 Here are 4 amazing courses I have taken from Coursera🔥 --A Thread-- 🧵
- Detecting small objects with computer vision models is challenging. This is because they occupy a few pixels in the entire image. However, the SAHI technique makes it possible to detect small objects using various models such as YOLOv5. SAHI is a generic slicing-aided
00:00 - I have been working in machine learning remotely since 2017. Here is a blueprint for getting remote ML jobs again and again (proven strategy):
