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مسیر یادگیری #هوش_مصنوعی و #یادگیری_ماشیندر 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 LearningStatistics for Data Science👉Learn a Programming Language (Python)
Python for Everybody SpecializationIntroduction 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 documentationTensorflow basicsKeras basicsPyTorch GuideCloud 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: HandbookMachine 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 SpecializationReinforcement 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 PythonNLP Free Course by Hugging FaceTensorflow and Keras for NLPNLP 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 CourseAdvanced 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) SpecializationGenerative AI with LLMsمنبع :
link#ML #AI #Artificial_Intelligence
#Machine_Learning #roadmap
معرفی منابع آموزشی مهندسی کامپیوتر 👇👇
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@programmers_street
