GitHub - rajibmondal/Advanced-Machine-Learning-Specialization: Deep Dive Into The Modern AI Techniques. You will teach computer to see, draw, read, talk, play games and solve industry problems.

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Name		Name	Last commit message	Last commit date
Latest commit History 55 Commits
1.Introduction to Deep Learning		1.Introduction to Deep Learning
2.How to Win a Data Science Competition: Learn from Top Kagglers		2.How to Win a Data Science Competition: Learn from Top Kagglers
3.Bayesian Methods for Machine Learning		3.Bayesian Methods for Machine Learning
4.Practical Reinforcement Learning		4.Practical Reinforcement Learning
5.Deep Learning in Computer Vision		5.Deep Learning in Computer Vision
6.Natural Language Processing		6.Natural Language Processing
7.Addressing Large Hadron Collider Challenges by Machine Learning		7.Addressing Large Hadron Collider Challenges by Machine Learning
Copy_of_RNN_task.ipynb		Copy_of_RNN_task.ipynb
Copy_of_digits_classification.ipynb		Copy_of_digits_classification.ipynb
Digits_classification.ipynb		Digits_classification.ipynb
Fashon MNIST.ipynb		Fashon MNIST.ipynb
Image_Processing_in_Python.ipynb		Image_Processing_in_Python.ipynb
Intro_to_tensorflow.ipynb		Intro_to_tensorflow.ipynb
Introduction_to_CNN_Keras_0_997_(top_6_).ipynb		Introduction_to_CNN_Keras_0_997_(top_6_).ipynb
Keras_task.ipynb		Keras_task.ipynb
NLP_with_Disaster_Tweets.ipynb		NLP_with_Disaster_Tweets.ipynb
NumpyNN_(honor).ipynb		NumpyNN_(honor).ipynb
Stock_Sentiment_Analysis_using_News_Headlines.ipynb		Stock_Sentiment_Analysis_using_News_Headlines.ipynb
Tensorflow_task.ipynb		Tensorflow_task.ipynb
Week_04_Autoencoders_task.ipynb		Week_04_Autoencoders_task.ipynb
mnist(digit)_with_keras.ipynb		mnist(digit)_with_keras.ipynb
my1stNN.ipynb		my1stNN.ipynb
tensorflow_examples_from_video.ipynb		tensorflow_examples_from_video.ipynb
week01_pa.ipynb		week01_pa.ipynb
week3_task1_first_cnn_cifar10_clean.ipynb		week3_task1_first_cnn_cifar10_clean.ipynb
week6_final_project_image_captioning_clean.ipynb		week6_final_project_image_captioning_clean.ipynb