# The Machine Learning (ML) Bootcamp

*Learn Python, Tensorflow,* ...Get Udemy Course

*Deep Learning*, Regression, Classification, Neural Networks, ... Complete 2019 Data Science &*Machine Learning Bootcamp*...... I have enrolled for other*ML*/AI course but the explanation of various concepts with
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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

Do you want to

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

This course is extraordinary, as it is

**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

**Machine Learning**- Supervised learning

- Regression
- Classification

- Unsupervised learning
- Reinforcement learning

*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)

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!

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