[Coursera] Machine Learning Specialization (Andrew Ng)
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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
Description
Coursera Machine Learning, name of the training video series in the field of science learn machine. Topic machine learning nowadays is very wide and, in fact, the solution to progress towards artificial intelligence at a very high level to account comes. In this course you will learn the most effective and the most key techniques and learn how to run, and familiarity with the application, it can your knowledge in the field of machine learning to form a principled strengthen you. In this course contents are Theory and practical, is prepared for you.
You are on the course and at the head of the season, and marked the start to be familiar with the concepts of several such algorithms, parametric and non-parametric, etc. cores, neural networks, etc., you will. You also watch this course and learn the principles and basics of machine learning able to build robots of intelligence, that of the ability to understand and control the generations. you will be. This course is also for enthusiasts who intend to machine learning as a principled and quite practical, learn design and is published.
What you will learn in Machine Learning Specialization:
- Machine learning from basic level to advanced, to shape the normative
- Familiarity with the techniques and practical skills in real projects, you
- Learn from the aspect of theory and practice to improve skills
- Familiarity and understanding of the application of the algorithm parametric and non-parametric
- Introduction to neural networks and artificial intelligence as a practical
- And…
Machine Learning Specialization Specification:
- Publisher : Coursera
- Language : English
- Duration : Approximately 2 months to complete – Suggested pace of 8 hours/week
- Number of Courses: 3
- Instructor : Andrew Ng, Eddy Shyu, Aarti Bagul and Geoff Ladwig
- File format : mp4
- University/Institute: DeepLearning.AI and Stanford University
- Level: Beginner
Size: 1.61 GB
https://www.coursera.org/specializations/machine-learning-introduction.