Coursera – Machine Learning Specialization by DeepLearning.AI

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#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

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