“Artificial Intelligence Fundamentals: From Machine Learning to Deep Learning”
Are you interested in learning about the basics of Artificial Intelligence (AI) and how it is transforming industries? Then this course is for you!
In this course, you will start by understanding the fundamental concepts of AI and its different types, such as supervised, unsupervised, and reinforcement learning. You will also learn about the most popular machine learning algorithms, including decision trees, k-nearest neighbors, and logistic regression.
Next, you will dive into the world of deep learning, where you will explore neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). You will also get hands-on experience building your own deep learning models using popular frameworks like TensorFlow and Keras.
Throughout the course, you will be using real-world datasets and working on projects to solidify your knowledge. You will also learn about ethical considerations when working with AI and the impact it has on society.
Whether you are a beginner or have some prior knowledge of AI, this course is designed to help you master the fundamentals and take your first steps towards becoming an AI professional.
So, enroll today and start your journey towards mastering Artificial Intelligence!”
What you will Learn
- Work with fundamental Data Science libraries to form different kinds of datasets
- Master Matplotlib fundamentals and various standard graphs
- Learn how to visualize data using Python and Matplotlib in a clear and concise manner
- Use real-life applicable datasets to expand your learning
- Understand and work with the connection between various data science/visualization libraries
- Expand on your knowledge of Python 3 fundamentals
