Artificial Intelligence for Beginners Free Course
Are you new to the realm of Artificial Intelligence? This comprehensive AI course by Microsoft has been tailored to welcome beginners. No matter your background, whether you're a student, professional, or simply someone curious about AI, this course is your ideal starting point. It will guide you through every step, ensuring that you grasp the foundational concepts and methodologies that underpin the world of AI. From symbolic approaches to modern deep learning, it has got you covered!
Pathway to Law, Economics, and Data Science
Explore Free Courses on topics related to Law, Economics, and Data Science with a particular emphasis on Causal Inference and AI. This post is part of an exciting new blog series, where I will be compiling an array of exceptional free courses within these fields.
This blog series covers three distinct yet interconnected fields: law, economics, and data science. These domains offer unique insights into understanding our society, making informed decisions, and extracting meaningful insights from complex data.
Causal Inference: Unraveling Cause and Effect
Causal inference lies at the heart of understanding how actions, events, and conditions lead to specific outcomes. In our data-driven world, the ability to discern causality from correlation is crucial for making impactful decisions. The art of identifying cause-and-effect relationships is an invaluable skill in fields ranging from public policy to data-driven business strategies, so I hope these posts can be of some benefit whether you are looking at improving your skills for academia or industry paths.
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Exploring the Essence of Artificial Intelligence
Artificial Intelligence, or AI, is the remarkable fusion of human ingenuity and advanced technology, aimed at imbuing machines with the ability to simulate human-like intelligence. It's the science of creating systems that can perceive their environment, reason through complex scenarios, and make decisions based on acquired knowledge. AI encompasses a spectrum of techniques, from traditional symbolic reasoning methods to the cutting-edge marvels of neural networks and deep learning. Through AI, machines can process and analyze vast amounts of data, recognize patterns, understand natural language, and even perform tasks that previously demanded human cognition. It's a field that's revolutionizing industries, from healthcare to finance, and shaping the way we interact with technology.
Module and topics
- Introduction and History of AI
- Knowledge Representation and Expert Systems
- Introduction to Neural Networks
- Multi-Layered Perceptron and Creating our own Framework
- Intro to Frameworks (PyTorch/TensorFlow) and Overfitting
- Microsoft Azure AI Fundamentals: Explore Computer Vision
- Intro to Computer Vision. OpenCV Text Notebook Lab
- Convolutional Neural Networks
- Pre-trained Networks and Transfer Learning
- Autoencoders and VAEs Text PyTorch TensorFlow
- Generative Adversarial Networks
- Semantic Segmentation
- Natural Language Processing Microsoft Azure AI Fundamentals
- Semantic word embeddings, Word2Vec and GloVe
- Language Modeling. Training your own embeddings
- Recurrent Neural Networks
- Generative Recurrent Networks
- Transformers. BERT.
- Named Entity Recognition
- Large Language Models, Prompt Programming and Few-Shot Tasks Other AI Techniques
- Genetic Algorithms
- Deep Reinforcement Learning
- AI Ethics and Responsible
- Multi-Modal Networks, CLIP and VQGAN
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