🔹مسیر یادگیری #هوش_مصنوعی و #یادگیری_ماشین

در لیست زیر گام به گام مسیری که باید طی کنید به همراه منابع رایگان یادگیری آمده است

👉Build a Solid Foundation in Mathematics and Statistics

Mathematics for Machine Learning

Statistics for Data Science

👉Learn a Programming Language (Python)

Python for Everybody Specialization

Introduction to Data Analysis with Python

👉Explore AI and ML Tools and Frameworks

The next step in the roadmap to learn AI & ML is to explore AI & ML tools and frameworks Below are the essential tools and frameworks you need to cover

Scikit-learn: Building ML models (classification, regression, clustering).

TensorFlow and Keras: Building deep learning models and neural networks.

PyTorch: Research-focused deep learning framework.

Cloud Platforms: Explore tools like Google Cloud AI, AWS Sagemaker, and Microsoft Azure for ML.

Scikit-learn documentation

Tensorflow basics

Keras basics

PyTorch Guide

Cloud Platforms Roadmap

👉Get Hands-on with Machine Learning Algorithms:
Learn the key algorithms used in Machine Learning and practice implementing them:

Regression: Linear, Ridge, and Logistic regression.

Classification: Decision Trees, Random Forests, SVM, k-Nearest Neighbors.

Clustering: K-Means, Hierarchical, DBSCAN.

Dimensionality Reduction: PCA, t-SNE.

Model Evaluation: Accuracy, precision, recall, F1-score, ROC curves, and confusion matrix.

Here are the learning resources you can follow:

Machine Learning Algorithms: Handbook

Machine Learning Algorithms Guide

👉Dive into Deep Learning & Reinforcement Learning

The next step in the roadmap to learn AI & ML is to master neural networks and reinforcement learning to build advanced AI systems

Deep Learning Specialization

Reinforcement Learning Specialization

👉Explore Natural Language Processing (NLP):
Learn techniques to process, analyze, and generate text using NLP models. Here are the essential topics you need to cover:

Text preprocessing: Tokenization, stemming, lemmatization, stopwords.

Traditional NLP models: Bag of Words, TF-IDF.

Word Embeddings: Word2Vec, GloVe.

Transformer models: BERT, GPT, and their applications in text generation

Hands-On Natural Language Processing with Python

NLP Free Course by Hugging Face

Tensorflow and Keras for NLP

NLP with Sequence Models

👉Learn Image Processing & Computer Vision
The next step in the roadmap to learn AI & ML is to develop expertise in image processing techniques and computer vision

Image Processing Course

Advanced Computer Vision Course

👉Explore Generative AI & LLMs
Work on Real-World Projects
Learn about Generative AI and Large Language Models (LLMs) that are transforming AI research

Generative Adversarial Networks (GANs) Specialization

Generative AI with LLMs

منبع : link
#ML #AI #Artificial_Intelligence
#Machine_Learning #roadmap


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