How transfer learning is different #Shorts

Hello ,
My name is Aman and I am a Data Scientist.

About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.

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Book recommendation for Data Science:

Category 1 – Must Read For Every Data Scientist:

The Elements of Statistical Learning by Trevor Hastie –

Python Data Science Handbook –

Business Statistics By Ken Black –

Hands-On Machine Learning with Scikit Learn, Keras, and TensorFlow by Aurelien Geron –

Ctaegory 2 – Overall Data Science:

The Art of Data Science By Roger D. Peng –

Predictive Analytics By By Eric Siegel –

Data Science for Business By Foster Provost –

Category 3 – Statistics and Mathematics:

Naked Statistics By Charles Wheelan –

Practical Statistics for Data Scientist By Peter Bruce –

Category 4 – Machine Learning:

Introduction to machine learning by Andreas C Muller –

The Hundred Page Machine Learning Book by Andriy Burkov –

Category 5 – Programming:

The Pragmatic Programmer by David Thomas –

Clean Code by Robert C. Martin –

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Watch Introduction to Data Science full playlist here :

Watch python for data science playlist here:

Watch statistics and mathematics playlist here :

Watch End to End Implementation of a simple machine learning model in Python here:

Learn Ensemble Model, Bagging and Boosting here:

Build Career in Data Science Playlist:

Artificial Neural Network and Deep Learning Playlist:

Natural langugae Processing playlist:

Understanding and building recommendation system:

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