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Discover the Best Private Computer Science Classes in France

For over a decade, our private Computer Science tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in France, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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227 computer science teachers in France

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227 computer science teachers in France

Dave - Paris402 CNY
402 CNYMachine learning course / project by Doctor in machine learning and actuarial science
Trusted teacher: Hello, I am an experienced machine learning teacher with 5 years of expertise in teaching this discipline at all levels. My expertise using Python and R allows me to teach different machine learning algorithms such as neural networks, decision trees and clustering algorithms. I am also experienced in using popular Python and R libraries such as TensorFlow, Keras, Scikit-learn and ggplot2. In addition to my machine learning skills, I am able to help students read and understand research papers for their presentations, as well as work on projects in Python and R. My commitment to machine learning is passionate and I enjoy sharing my knowledge with my students. If you are interested in my services as a machine learning teacher for all levels, do not hesitate to contact me. In addition to my machine learning skills, I am also able to help you with mathematics, statistics and dissertation writing. I am available to teach the following subjects: 1.Python or R 2. Data exploration 3.Machine learning 3.1. Intro ML 3.2. Linear Model -> Linear Models for Regression and Classification 3.3. kernel -> Kernelization 3.4. Model selection 3.5. model set, -> Bagging / RandomForest, Boosting (XGBoost, LightGBM,...) , Stacking 3.6. Data preprocessing -> Data pre-processing -> Pipelines: choose the right preprocessing steps and models in your pipeline -> Cross validation 3.7. Neural Networks -> Neural architectures -> Training neural nets: Forward pass: Tensor operations and Backward pass: Backpropagation -> Neural network design: Activation functions, weight initialization and Optimizers -> Neural networks in practice: Model selection, Early stopping, Memorization capacity and information bottleneck, L1/L2 regularization, Dropout, Batch normalization 3.8. Convolutional Neural Networks -> Convolved Image -> Convolutional neural networks ->Data increase -> Model interpretation -> Using pre-trained networks (transfer learning) 3.9. Neural Networks for text -> Bag of word representations, Word embeddings, Word2Vec, FastText, GloVe
Math · Statistics · Computer science
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Our students from France evaluate their Computer Science teacher.

To ensure the quality of our Computer Science teachers, we ask our students from France to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.7 out of 5 based on 12 reviews.

Actuarial / Financial Sciences / Risk Management and Economics (Noisiel)
Med Amine
rating star
rating green star
Amine was great - adapted to a whole new business / industry very easily and quickly. Patient and thoughtful in his classes.
Review by RONAN
mathematics tutoring - English - computer science (Paris)
Asma
rating star
rating green star
Good
Review by PIERRE YVES
Mathematics (algebra, geometry, linear algebra, analysis) (Paris)
Yann
rating star
rating green star
Good
Review by LEONARDO

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