# Maximum Likelihood Estimation for Machine Learning

Interpreting how a model works is one of the most basic yet critical aspects of data science. You build a model which is giving you pretty impressive results, but what was the process behind it?

Interpreting how a model works is one of the most basic yet critical aspects of data science. You build a model which is giving you pretty impressive results, but what was the process behind it? As a data scientist, you need to have an answer to this oft-asked question.There could be multiple reasons behind it. Finding the likelihood of the most probable reason is what Maximum Likelihood Estimation is all about. This concept is used in economics, MRIs, satellite imaging, among other things.

In this video, I'll discuss:

1. Basis of Logistic Regression Sigmoid Function (Logit - Odds - Probability).
2. Maximum Likelihood Estimation.

## Machine Learning, Data Science and Deep Learning with Python

Complete hands-on Machine Learning tutorial with Data Science, Tensorflow, Artificial Intelligence, and Neural Networks. Introducing Tensorflow, Using Tensorflow, Introducing Keras, Using Keras, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Learning Deep Learning, Machine Learning with Neural Networks, Deep Learning Tutorial with Python

Machine Learning, Data Science and Deep Learning with Python

### Complete hands-on Machine Learning tutorial with Data Science, Tensorflow, Artificial Intelligence, and Neural Networks

Explore the full course on Udemy (special discount included in the link): http://learnstartup.net/p/BkS5nEmZg

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In this course, we will cover:
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• The History of Artificial Neural Networks
• Deep Learning in the Tensorflow Playground
• Deep Learning Details
• Introducing Tensorflow
• Using Tensorflow
• Introducing Keras
• Using Keras to Predict Political Parties
• Convolutional Neural Networks (CNNs)
• Using CNNs for Handwriting Recognition
• Recurrent Neural Networks (RNNs)
• Using a RNN for Sentiment Analysis
• The Ethics of Deep Learning
• Learning More about Deep Learning

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## Python For Data Science - How to use Data Science with Python

This Edureka video on 'Python For Data Science - How to use Data Science with Python - Data Science using Python ' will help you understand how we can use python for data science along with various use cases. What is Data Science? Why Python? Python Libraries For Data Science. Roadmap To Data Science With Python. Data Science Jobs and Salary Trends

This Edureka video on 'Python For Data Science - How to use Data Science with Python - Data Science using Python
' will help you understand how we can use python for data science along with various use cases. Following are the topics discussed this Python Data Science Tutorial:

• What is Data Science?
• Why Python?
• Python Libraries For Data Science
• Roadmap To Data Science With Python
• Data Science Jobs and Salary Trends
• How Edureka Helps?

## Best Python Libraries For Data Science & Machine Learning

Best Python Libraries For Data Science & Machine Learning | Data Science Python Libraries

This video will focus on the top Python libraries that you should know to master Data Science and Machine Learning. Here’s a list of topics that are covered in this session:

• Introduction To Data Science And Machine Learning
• Why Use Python For Data Science And Machine Learning?
• Python Libraries for Data Science And Machine Learning
• Python libraries for Statistics
• Python libraries for Visualization
• Python libraries for Machine Learning
• Python libraries for Deep Learning
• Python libraries for Natural Language Processing