Udemy – Machine Learning (ML) Bootcamp Python, TensorFlow, Colab
English | Size: 956.27 MB
Category: CBTs
Machine Learning (ML) Bootcamp Python, TensorFlow, Colab,
Master the 3 M’s of ML: Maths, Methods and Machine
Do you want to master Machine Learning (ML) – the key field of the future?
ML is the core of artificial intelligence and will transform all industries and all areas of life.
This comprehensive course covers the three M’s Maths, Methods and Machine, and is easy to understand.
Maths
Calculus
Linear Algebra
Probability theory
Statistics
Methods
Machine learning libraries
Scikit-learn
Tensorflow
Keras
Estimators & Predictors
Neural Network (Deep Learning)
Support Vector Machine
K-Nearest Neighbor
Decision Tree
and many more
Concepts & techniques
Principal Component Analysis (PCA)
Neural Machine Translation (NMT)
Long Short-Term Memory (LSTM)
Monte-Carlo Tree Search (MCTS)
Deep Convolutional Generative Adversarial Network (DCGAN)
and many more
Machine
Python
Cloud Computing
Colab Cloud Notebook
These three building blocks will give you the deep understanding of the subject.
Machine Learning
Supervised learning
Regression
Classification
Unsupervised learning
Reinforcement learning
Furthermore projects will provide insights into real life solutions.
Projects
Titanic dataset (binary classification)
Boston Housing dataset (regression)
Student performance (binary classification)
Hand-written digits (image recognition & generation)
Stock market predictions
Text recognition and language translation
Autonomous driving (reinforcement learning)
Mastering the game of GO (deep reinforcement learning)
Segmentation of customer data (PCA)
Spam detection (Bayes)
Do not hesitate and join the course. ML will transform your life!
This course is extraordinary, as it is easy to understand, and combines education with entertainment.
Learning should be exciting!
Who this course is for:
Everyone who is interested in machine learning and artificial intelligence.
Pupils, students, employees in all kind of roles, self-employed workers
You!
Course content
Videos 48 lectures
Time 04:53:08
What you’ll learn
The three building blocks of Machine Learning: Maths, Methods and Machine.
Maths: Calculus, Linear Algebra, Statistics, Naive Bayes
Methods: Neural Networks, Deep Learning, PCA, Scikit-learn, Tensorflow, Keras
Machine: Python, Cloud Computing, Colab
Insights into real life projects and how to apply the concepts
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