Difference Between Data Science, Machine Learning, Artificial Intelligence, and Deep Learning is explained along with examples. Introduction to Chatbots and Natural Language Processing. 
YouTube Video
https://youtu.be/kE7X190oKTQ
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https://machinemantra.in/



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Difference Between Data Science, Machine Learning, Artificial Intelligence and Deep Learning

This Podcast is created for those who are taking their first step in Machine Learning, those of you who want to brush up the concepts of Machine Learning, learn in a very simple, easy, and interesting manner.

The episodes cover the basic concepts of Machine Learning, getting familiar with models, algorithms, other technical concepts
.
Learn, update your self while you are travel, jog, exercise, or relax.

The VISION is" Education for Empowerment".
Making Machine Learning accessible to all, willing to learn, grow with Technology and Time.

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Training

Language Courses

Higher Education

K-12

Educational Technology

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So if anyone wants to collaborate, I will be glad to offer my assistant. 
Reach me out
sharma25prianca@gmail.com
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YouTube Channel: Machine Learning by Priyanka Sharma

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Collaboration

The episode explains what is meant by predictive modeling and predictive analysis in Machine Learning, bringing out the differences between the two.

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Predictive Modeling and Predictive Analysis in Machine Learning

The episode discusses why R and Python are really popular languages in the Data Science community. The similarity and differences between the two languages in an elaborate manner.



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R and Python Comparison

The episode discusses what is feature engineering in Machine Learning, what are various techniques used in Machine Learning like Imputation, Scaling, One hot encoding, and much more.
Website: https://machinemantra.in/
YouTube: https://www.youtube.com/channel/UCh3IeGHegUhWPmxNG0EYebw?view_as=subscriber

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Feature Engineering in Machine Learning

This episode discusses various types of Regression Metrics in Machine Learning. Most common Regression metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE), RMSE, R squared, and Adjusted R squared regression metrics. There is further a little discussion upon which Regression Metric to use for evaluating the Regression Problems, pros and cons of the above-mentioned Metrics.
YouTube:https://www.youtube.com/channel/UCh3IeGHegUhWPmxNG0EYebw?view_as=subscriber
Website: https://machinemantra.in/



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Send in a voice message: https://podcasters.spotify.com/pod/show/priyanka-sharma12/message

Difference Between Data Science, Machine Learning, Artificial Intelligence and Deep Learning

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