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| File Name: | Coursera – Machine Learning Specialization by DeepLearning.AI |
| Content Source: | https://www.coursera.org/specializations/machine-learning-introduction |
| Genre / Category: | Other Tutorials |
| File Size : | 3.5GB |
| Publisher: | coursera |
| Updated and Published: | June 26, 2023 |
#BreakIntoAI with Machine Learning Specialization. Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
WHAT YOU WILL LEARN
Build ML models with NumPy & scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression)
Build & train a neural network with TensorFlow to perform multi-class classification, & build & use decision trees & tree ensemble methods
Apply best practices for ML development & use unsupervised learning techniques for unsupervised learning including clustering & anomaly detection
Build recommender systems with a collaborative filtering approach & a content-based deep learning method & build a deep reinforcement learning model
- SKILLS YOU WILL GAIN
- Decision Trees
- Artificial Neural Network
- Logistic Regression
- Recommender Systems
- Linear Regression
- Regularization to Avoid Overfitting
- Gradient Descent
- Supervised Learning
- Logistic Regression for Classification
- Xgboost
- Tensorflow
- Tree Ensembles
DOWNLOAD LINK: Coursera – Machine Learning Specialization by DeepLearning.AI
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