Hi there
This my first comment in the forum
My name is Mohammed Elzoghby
Hi,
I need AI to enhance productivity, speed & quality of work.
Hello Everyone,
My name is Richmond Gomashie. I am a nurse and interested in AI. I need help. It looks like I don’t even know how to boot the PC. I am confused.
I have read some contributions and advice given to people in similar situations. I hope very soon, I will be in a good position to help others too.
Thank you.
.
Phase 1: Machine Learning (ML)
1. Foundations
- ML types: Supervised, Unsupervised, Reinforcement
- Python for ML: NumPy, Pandas, Scikit-learn
- Math: Linear Algebra, Probability, Statistics
2. Supervised Learning
- Algorithms: Linear/Logistic Regression, Decision Trees, Random Forests, XGBoost
- Evaluation: Accuracy, Precision, Recall, ROC-AUC
- Hyperparameter Tuning: GridSearchCV, RandomSearch
3. Unsupervised Learning
- Clustering: K-Means, Hierarchical
- Dimensionality Reduction: PCA
- Anomaly Detection
4. Projects
- Loan Prediction
- Customer Segmentation
- Deployment: Flask/FastAPI
Phase 2: Deep Learning (DL)
1. Core Concepts
- Neural Networks: Perceptron, Activation Functions
- Training: Forward/Backward Propagation, Optimizers (SGD, Adam)
2. Architectures
- CNNs: Image Tasks
- RNNs, LSTMs, GRUs: Sequence Tasks
- Transfer Learning: VGG, ResNet
3. Model Optimization
- Techniques: Dropout, BatchNorm, Learning Rate Schedulers
- Overfitting & Regularization
4. Projects
- Image Classification
- Time Series Forecasting
- Deployment: TensorFlow Serving, ONNX
Phase 3: Natural Language Processing (NLP)
1. Fundamentals
- Text Preprocessing: Tokenization, Lemmatization
- Vectorization: BoW, TF-IDF, Word2Vec, GloVe
- Text Classification, Sentiment Analysis
2. Sequence Models
- RNNs, LSTMs, Seq2Seq Models
3. Transformers
- Attention Mechanism
- Models: BERT, GPT, RoBERTa
- Fine-tuning with HuggingFace
4. Projects
- Chatbot
- Named Entity Recognition
- Question Answering
That’s What I Can Offer Bud go on with this and you will be the master
I want to add something,taking courses related to AI is good to learn but cannot covering each and every thing ,practice is the key to boost your skills like building projects because you cover things more deeply. Working on the projects introduce a things more clearly that may be left or less focused during learning.
Hi Wisnu, let’s get acquainted. Would you like to be my mentor?