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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since August 2020
Instructor since August 2020
Machine Learning, Neural Networks and Deep Learning
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From 64 £ /h
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This class focus on either getting you to learn neural networks from the basics or improving your skills.
Learn different types of models: discriminative, generative, stochastic networks for the different king of tasks, such as classification prediction, time-series, natural language processing, or more!

The classes are theoretical-oriented, but could also include practical programming tasks.
Location
location type icon
Online from Sweden
About Me
I am passionate about mathematics and sciences and its numerous applications in a vast range of fields. In the present moment I focus my time learning more about deep learning and computer vision. I believe in complex subjects as a combination of simpler and intuitive ideas.
Education
Double-bachelors degree in Actuary and Statistics with exchange studies in Ireland. Ongoing Master degree in Machine Learning. Some subjects of my expertise are: statistical inference, linear algebra, calculus, probability, computational statistics, neural networks and probabilistic graphical models.
Experience / Qualifications
I have previous experience as a TA in Infinitesimal Calculus during my bachelors and teaching secondary math. I have also some experience with statistical tools.
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Portuguese
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
I have previous experience as a TA in Calculus (for almost 2 years), I have also experience in tutoring math for secondary students.

Math classes are oriented to problem-solving and theoretic explanation and the student can also bring his own exercises. Please

Programming classes can either be oriented to a specific package or simply cover from the basics to more advanced tasks.
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I am a native Brazilian Portuguese speaker.
I can give classes for either beginners or more experienced people with the language.
I can give either practical courses, with a lot speaking, more theoretical ones, focusing on writing skills, or even with a balanced combination or for professional purposes.

I also have a good knowledge of literature in Portuguese language and music (especially Brazilian)
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PhD Candidate in Computer Science – Private Tutoring & Pancyprian Exams

I am a PhD candidate in Computer Science offering private tutoring for high school students (Pancyprian Exams – Computer Science) and university students.

Pancyprian Exams – Computer Science

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Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
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1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
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Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
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The same behavior, several forms.
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Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
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Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

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This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

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