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I'm dot net developer for more than 10 years . I need to learn AI and make projects for it and I don't have any knowledge about that

so i have more questions and i need any one specialist AI answer for me

1- what best language i will learn to make AI projects ?

2- what courses I will study or learn step by step ?

3- what books can learn to me AI ?

3-what steps i will learn one by one to be professional ?

4-what courses online free and paid money that give courses on this field ?

5- are there are any places or companies request projects can do to lean AI more for training ?

6-what website that support learning on AI and what Operationg system will serve AI windpws or linux ?

7- What companies request developers to make projects on AI ?

can you please answer me for this questions please if possible

because I need to learn AI and make projects but i don't know from which place I can start ?

What I have tried:

i need to start learn ai and do projects and make real projects so How to make real projects and how to make money form AI projects
Posted
Updated 21-Jul-23 10:51am
Comments
CHill60 21-Jul-23 11:13am    
Please do your own research
[no name] 21-Jul-23 11:50am    
That's up there with:"I want to bake pies ... what kind of pies should I bake?" How would anybody know what to bake? How about rhubarb pies?
OriginalGriff 21-Jul-23 11:57am    
Philistine! Rhubarb belongs in a crumble, hot, with salted caramel ice cream ... not a pie! :D
[no name] 21-Jul-23 12:27pm    
Yes! (She planted rhubarb from her sister now the garden in half rhubard.)
Dave Kreskowiak 21-Jul-23 17:14pm    
With all due respect, I can appreciate the enthusiasm, but after looking at all of your previous questions, the whole AI thing is WAY over your head right now. You're having too many problems just getting data from point A to point B, nevermind doing very advanced analysis and processing on it.

I'd suggest that this is too "big" a question for a little text box like this, and needs a lot of comment rather than being a "question and answer" type query.

I'd suggest you try starting in the CP AI forum - where at least everybody there will have some experience with an AI, and being a forum it's a discussion oriented format as well. CodeProject.AI Discussions[^]
 
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Quote:
and I need any one specialist AI answer for me


Answer: Ask the specialist, probably more acurate here... - Google = how to start developing AI applications[^]

Answer 2: Ask the AI itself -
Quote:
Starting to develop AI applications can be an exciting and rewarding journey. Here's a step-by-step guide to help you get started:

Understand the Basics of AI and Machine Learning:
Familiarize yourself with the fundamental concepts of AI and machine learning. Learn about supervised learning, unsupervised learning, reinforcement learning, neural networks, and different algorithms used in AI applications.

Learn Programming Languages:
Gain proficiency in programming languages commonly used for AI development, such as Python and R. Python is particularly popular due to its extensive libraries for AI and machine learning, like TensorFlow, Keras, PyTorch, and scikit-learn.

Mathematics and Statistics:
Develop a solid understanding of linear algebra, calculus, and statistics. These mathematical concepts are fundamental to understanding the inner workings of machine learning algorithms.

Data Handling and Preprocessing:
AI applications require data. Learn how to acquire, clean, and preprocess data to make it suitable for training and testing machine learning models.

Machine Learning Libraries and Frameworks:
Get familiar with popular machine learning libraries and frameworks. As mentioned earlier, TensorFlow, Keras, PyTorch, and scikit-learn are excellent starting points.

Online Courses and Tutorials:
Enroll in online AI and machine learning courses. Websites like Coursera, Udemy, and edX offer numerous courses catered to beginners and intermediate learners.

Work on Simple Projects:
Start with small AI projects to apply what you've learned. Work on classic problems like image recognition, sentiment analysis, or prediction tasks. This hands-on experience will help reinforce your learning.

Stay Updated with AI Research:
Follow AI research papers and blogs to stay updated on the latest advancements in the field. Websites like arXiv and AI conferences (e.g., NeurIPS, ICML) are excellent sources.

Deep Learning and Neural Networks:
Dive into deep learning and neural networks, which form the backbone of many modern AI applications. Understand different architectures like convolutional neural networks (CNNs) for computer vision tasks and recurrent neural networks (RNNs) for sequence-based tasks.

Explore AI APIs and Services:
As you progress, leverage AI APIs and cloud services from major providers like Google Cloud, AWS, or Microsoft Azure. These services offer pre-trained models and tools to simplify AI development.

Collaborate and Network:
Join AI communities, attend workshops, and collaborate with fellow AI enthusiasts. Networking can lead to valuable insights, project ideas, and potential collaborations.

Experiment and Iterate:
AI development is an iterative process. Experiment with different algorithms, parameters, and data to improve your models continuously.

Consider Ethics and Bias:
As you build AI applications, be mindful of ethical considerations and potential biases. Understand the impact your AI solutions may have on society and strive to develop fair and responsible AI systems.

Remember, AI development is a dynamic field, and there's always something new to learn. Stay curious, practice regularly, and keep building on your knowledge to become a proficient AI developer.
- nothing gaurenteed here...

[EDIT]
Oops, just saw who the OP is... promised myself...
 
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