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AI for beginners
Begin your AI developer journey in 2024
Author: Et Tu Code
Series: AI Explorer #1
Narrator: Helen Green
Unabridged: 1 hr 50 min
Format: Digital Audiobook Download
Publisher: Et Tu Code
Published: 04/15/2024
Categories: Nonfiction, Computers & Technology, Artificial Intelligence, Data Science
Includes:
Bonus Material
Synopsis
Are you intrigued by artificial intelligence (AI) and eager to delve into its realm? Look no further! This guide is tailored to beginners, offering a comprehensive introduction to AI in 2024.
Section 1: Introduction to AILearn about AI basics like machine learning, deep learning, and neural networks and their transformative impact on industries.
Section 2: AI FundamentalsDelve into AI principles such as supervised/unsupervised learning, reinforcement learning, and model types and applications.
Section 3: AI Tools and FrameworksDiscover popular tools like TensorFlow, PyTorch, and Keras for building and training AI models.
Section 4: Practical AI ApplicationsExplore AI's real-world uses in healthcare, finance, marketing, and more for problem-solving and decision-making.
Section 5: Building Your First AI ProjectStep through creating your initial AI project, covering data preprocessing, model training, and evaluation.
Section 6: AI in 2024 and BeyondStay updated on AI advancements like Generative AI, Large Language Models (LLMs), OpenAI, and Llama 2.
Section 7: Generative AILearn about Generative AI's ability to create realistic content in entertainment, advertising, and healthcare.
Section 8: Large Language Models (LLMs)Explore LLMs like BERT, RoBERTa, and XLNet, revolutionizing natural language processing.
Section 9: OpenAIUnderstand OpenAI's impact on AI research, robotics, and its commitment to ethical AI development.
Section 10: Llama 2 - Meta AIDiscover Llama 2's advancements and potential applications across industries.
Section 11: Hugging Face AI CommunityEngage with Hugging Face's vibrant AI community for resources, tutorials, and updates on AI developments.
Section 1: Introduction to AILearn about AI basics like machine learning, deep learning, and neural networks and their transformative impact on industries.
Section 2: AI FundamentalsDelve into AI principles such as supervised/unsupervised learning, reinforcement learning, and model types and applications.
Section 3: AI Tools and FrameworksDiscover popular tools like TensorFlow, PyTorch, and Keras for building and training AI models.
Section 4: Practical AI ApplicationsExplore AI's real-world uses in healthcare, finance, marketing, and more for problem-solving and decision-making.
Section 5: Building Your First AI ProjectStep through creating your initial AI project, covering data preprocessing, model training, and evaluation.
Section 6: AI in 2024 and BeyondStay updated on AI advancements like Generative AI, Large Language Models (LLMs), OpenAI, and Llama 2.
Section 7: Generative AILearn about Generative AI's ability to create realistic content in entertainment, advertising, and healthcare.
Section 8: Large Language Models (LLMs)Explore LLMs like BERT, RoBERTa, and XLNet, revolutionizing natural language processing.
Section 9: OpenAIUnderstand OpenAI's impact on AI research, robotics, and its commitment to ethical AI development.
Section 10: Llama 2 - Meta AIDiscover Llama 2's advancements and potential applications across industries.
Section 11: Hugging Face AI CommunityEngage with Hugging Face's vibrant AI community for resources, tutorials, and updates on AI developments.