Community Picks·3yAI for Web Devs: What Are Neural Networks, LLMs, & GPTs?
This article provides an overview of AI, artificial neural networks, large language models, parameters, embeddings, and GPTs. It explains how LLMs are trained on data and can generate text based on probability. The article also discusses the non-deterministic nature of GPTs and their potential for hallucinations. The next post will explore prompt engineering.
AI in Plain English·3yMachine Learning: Must Do Projects for Beginners
Machine Learning: Must Do Projects for Beginners. We will examine some of the most well-liked machine learning datasets and models in this article. In the next sections, we will discuss several datasets and the models that may be used in that exercises.
KDnuggets·3yFree TensorFlow 2.0 Complete Course
Free TensorFlow 2.0 Complete Course is a tutorial for beginner python programmers interested in machine learning and neural networks using TensorFlow 2.0. The course covers fundamental concepts in ML & AI such as core learning algorithms, deep learning with neural networks, computer vision with convolutional neural networks, natural language processing with recurrent neural networks, and reinforcement learning. It requires basic knowledge of programming using Python and has a duration of 7 hours.
freeCodeCamp·3yLearn Machine Learning and Neural Networks without Frameworks
Learn Machine Learning and Neural Networks without Frameworks. We just published a course on the freeCodeCamp.org YouTube channel that will teach you how to use machine learning and neural networks without any frameworks. The course centers around a captivating project: creating a web app that learns to recognize drawings.
Towards AI·3yA Cheat Sheet to Deep Learning Algorithms: Types, Applications, and Examples
Deep learning is a subset of machine learning that involves training artificial neural networks to perform tasks. There are three main types of deep learning algorithms: supervised, unsupervised, and semi-supervised. The right algorithm for a specific problem will depend on the characteristics of the data and the complexity of the task.
freeCodeCamp·3yThe Difference Between AI and Machine Learning
Artificial Intelligence is a field which contains a lot of sub-fields, including Machine Learning. Machine Learning is not the same thing as Artificial Intelligence, but rather a part of it – like a cog amongst many cogs that makes up the machine which is Artificial Intelligence. I'll explain how Machine Learning fits into AI as a field.
GoPenAI·3yRoadmap to Becoming a Data Scientist in Python: A Beginner’s Guide.
Roadmap to Becoming a Data Scientist in Python: A Beginner’s Guide. Learn the Fundamentals of Python: To start your data science journey, it's crucial to have a solid foundation in Python programming. Dive into Data Manipulation and Analysis: Python provides several powerful libraries for data manipulation and analysis.
KDnuggets·3y5 Free Books on Natural Language Processing to Read in 2023
Large language models are getting released left right and center, and if you want to understand them better you need to know about NLP. NLP is a subfield of artificial intelligence that helps models process, understand and output the human language. The field has advanced applications such as chatbots, text summarization, and more.
HEARTBEAT·3yUnderstanding Popular Algorithms in Deep Learning
Deep learning allows machines to learn from vast amounts of data and carry out complex tasks that were previously only considered possible by humans. Deep learning is based in algorithms that let computers learn from data and get better over time. In this article, we will examine some different popular deep learning algorithms and how they operate.
GitHub Blog·3yWhat developers need to know about generative AI
What developers need to know about generative AI is, how it works, some real-world applications, and how it’s already changing the way people (and developers) work. Generative AI models and applications can, for example, be used for: Text generation, as a field.
Serokell·3y20 AI Project Ideas to Boost Your ML Expertise
20 AI Project Ideas to Boost Your ML Expertise Top 20 AI Projects to Improve Your Skills in ML. We give a comprehensive overview of AI project ideas, from beginner-friendly to more advanced challenges. Here’s the best way to choose a fun ML project that fits your learning objectives.
KDnuggets·3y10 Free Machine Learning Courses from Top Universities
Machine learning is a rapidly growing field that is revolutionizing many industries, including healthcare, finance, and technology. There are many high-quality courses available online, offered by some of the top universities in the world. In this article, we’ll introduce you to 10 free machine learning courses from top universities.
Developer.com·3y7 Best Python Libraries for Machine Learning and AI
7 Best Python Libraries for Machine Learning and AI Artificial intelligence (AI) and machine learning (ML) are both popular fields in software development. This tutorial will highlight the best AI, ML and deep learning Python libraries that programmers, data scientists, and researchers can use to build intelligent applications and solve complex problems.
Hacker Noon·3yExploring the Shap-e 3D Model Generator
Shap-e is an AI model that transforms input conditions into detailed 3D shapes. By employing neural networks, Shap-e understands the relationship between input conditions and the shape of the object. This makes it an invaluable tool for a range of applications including 3D modeling, computer graphics, virtual reality, and even scientific simulations.
freeCodeCamp·3yHow to Use TensorFlow for Deep Learning – Basics for Beginners
TensorFlow is a powerful library for building and training deep learning models. It can handle any type of data and feed it to machine learning models. TensorFlow supports a wide range of hardware and has a high-level API called Keras. In this article, you will learn about tensors, how to build and generate them, and perform basic operations using TensorFlow.
Community Picks·3yNeural Networks: Zero to Hero
Andrej Karpathy's Neural Networks: Zero To Hero A course on building neural networks, from scratch, in code. In his opinion language models are an excellent place to learn deep learning, even if your intention is to eventually go to other areas like computer vision because most of what you learn will be immediately transferable.
