English | Size: 6.26 GB
Genre: eLearning
What you’ll learn
Artificial Neural Networks (ANN)
Convolution Neural Network (CNN)
Recurrent Neural Network (RNN)
Generative adversarial network (GAN)
Deep Convolutional Generative adversarial network (DCGAN)
Natural Language Processing (NLP)
Image Processing
Sentiment Analysis
Autoencoder
Restricted Boltzman Machine
Deep Reinforcement Learning – Monte Carlo
Who this course is for:
Anyone interested in Deep Learning, Machine Learning and Artificial Intelligence
Students who have at least high school knowledge in math and who want to start learning Machine Learning, Deep Learning, and Artificial Intelligence
Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning, Deep Learning, Artificial Intelligence.
Any people who are not that comfortable with coding but who are interested in Machine Learning, Deep Learning, Artificial Intelligence and want to apply it easily on datasets.
Any students in college who want to start a career in Data Science
Any data analysts who want to level up in Machine Learning, Deep Learning and Artificial Intelligence.
Any people who are not satisfied with their job and who want to become a Data Scientist.
Any people who want to create added value to their business by using powerful Machine Learning, Artificial Intelligence and Deep Learning tools. Any people who want to work in a Car company as a Data Scientist, Machine Learning, Deep Learning and Artificial Intelligence engineer.
AI experts who want to expand on the field of applications
Data Scientists who want to take their AI Skills to the next level
Students in tech-related programs who want to pursue a career in Data Science, Machine Learning, or Artificial Intelligence
Anyone passionate about Artificial Intelligence
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