AI الذكاء الاصطناعي

Ahmed Imam
Instructor & Consultant

Artificial Intelligence professional and Machine Learning Engineer with good technical skills, Certified as Machine Learning, Neural Networks and Deep Learning Instructor from Epita (France), ITI (Egypt) and Certified as Artificial Intelligence Instructor from HUAWEI
Preparing Data-Science Master (Cairo University), YouTuber and Technical writer

    2020-01 - Current        Machine Learning Engineer
Self-Employed, Cairo, Cairo
    Python
    Advanced Python libraries for data science and machine learning (i.e. Scikit-Learn, Pandas, NumPy,...etc).
    Linear algebra basics.
    Basics of statistics and probability.
    Dataset Engineering (preparation, cleaning, filling missing data, collinearity and covariance, visualization and dimensionality-reduction).
    Machine learning basics (overfitting, underfitting, bias, variance, cross-validation and creating pipelines).
    Supervised machine learning algorithms like Linear-Regression, Logistic-Regression, SVM , Penalized-Regression (Ridge-Regression, LASSO-Regression), Decision-Trees (Regressor, Classifier), KNN, Naive Bayes, K-Means and Ensemble-Methods (Random-Forest, Gradient-Boosting).
    Unsupervised  machine learning algorithms as PCA (Principle Component Analysis), K-Means and Gaussian Mixtures.

2019-01 - Current        Computer-Vision Engineer
Self-Employed, Cairo, Cairo
    Tensor data structure.
    Deep-Learning frame works (TensorFlow, Keras).
    Artificial Neurons anatomy.
    Artificial Neural Networks (Feed-Forward and Backpropagation algorithms).
    Sequential APIs and Functional APIs
    Activation functions.
    Optimization algorithms (Gradient-Descent, SGD, Momentum GD, ADAM).
    Hyperparameters study.
    Saving and restoring models.
    Good Experience in Deep-Learning with Tenser-Flow and Keras.
    Image Fundamentals.
    Convolutional Neural Networks (CNN).
    OpenCV framework
    Image features and descriptors extrasction.
    Face Detection, Object Detection, ..
    Image-Classification vs Object-Detection.
    YOLOv3 Framework.