fundamentals_of_machine_learning.tar.gz

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The machine learning field is rapidly advancing today due to the availability of large datasets and the ability to process big data efficiently. Moreover, several new techniques have produced groundbreaking results for standard machine learning problems.

This course provides a detailed description of different machine learning algorithms and techniques, including regression, deep learning, reinforcement learning, Bayes nets, support vector machines (SVMs), and decision trees. The course also offers sufficient mathematical details for a deeper understanding of how different techniques work. An overview of the Python programming language and the fundamental theoretical aspects of ML, including probability theory and optimization, is also included. The course contains several practical coding exercises as well.

By the end of the course, you will have a deep understanding of different machine-learning methods and the ability to choose the right method for different applications.

Mastering Machine Learning Theory and Practice

**(Fill in the blank)** The contact zone between the neurons is called ______.

(Fill in the blank) The contact zone between the neurons is called ______.

**(True or False)** A sending neuron is often referred to as the presynaptic neuron.

(True or False) A sending neuron is often referred to as the presynaptic neuron.

 Each input value is added with the corresponding weight value, and these weighted values are then multiplied together.

 Each input value is multiplied with the corresponding weight value, and these weighted values are then summed together.

 Each input value is multiplied with the corresponding weight value, and these weighted values are then multiplied together again.

Each input value is added with the corresponding weight value, and these weighted values are then summed together again.

The McCulloch–Pitts neuron operates in which one of the following ways?

The McCulloch–Pitts neuron operates in which one of the following ways?

**(Select all that apply)** What is the gain function is called in neural network literature? 



(Select all that apply) What is the gain function is called in neural network literature?

**(True or False)** In the **sparse representation**, we might have a large number of basis functions in our dictionary (nodes in a deep network), but only use a relatively small number of active nodes to represent each example.

(True or False) In the sparse representation, we might have a large number of basis functions in our dictionary (nodes in a deep network), but only use a relatively small number of active nodes to represent each example.

**(True or False)** Sparse compression is an important factor in machines to gain some semantic knowledge of the world.

(True or False) Sparse compression is an important factor in machines to gain some semantic knowledge of the world.

**(True or False)** Decreasing the number of layers has allowed successful applications of neural networks to more complex problems.

(True or False) Decreasing the number of layers has allowed successful applications of neural networks to more complex problems.

**(Fill in the blank)** Max pooling takes a consecutive patch of pixels and replaces it with the ________ of the patch.

(Fill in the blank) Max pooling takes a consecutive patch of pixels and replaces it with the ________ of the patch.

**(Fill in the blank)** Dropout is a common technique to prevent _______.  

(Fill in the blank) Dropout is a common technique to prevent _______.

**(True or False)** The larger the filter, the more computationally cheap it is.

(True or False) The larger the filter, the more computationally cheap it is.

Test yourself on Neural Networks and Keras.

Getting started

Introduction

Scientific Programming with Python

Machine Learning with Sklearn

Neural Networks and Keras

Regression and Optimization

Basic Probability Theory

Probabilistic Regression and Bayes Nets

Generative Models

Cyclic Models and Recurrent Neural Networks

Reinforcement Learning

Artificial intelligence, the Brain, and Our Society

Conclusion

Quiz