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    Mohamed
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    from137.74CNY/ h

    Course on Machine Learning with Python from key concepts to applications

    The aim of this program is to provide you with the necessary skills and experience to begin your journey and get a head-start in Machine Learning.
    Covering the primary types of machine learning, the program offers a comprehensive theoretical understanding of Machine Learning with opportunities to practice using algorithms, methods,
    and best practices associated with Machine Learning. You will also have the chance to develop your own projects using relevant open-source frameworks and
    libraries and apply your learnings in various courses to a final project.

    Whether you are already proficient in Python programming, statistics, and linear algebra, or have a general interest and are willing to learn,
    this beginner/intermediate oriented series is suitable for you.

    Location

    Online via webcam
    At teacher's location: Apricity, Rabat, Morocco

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    General info

    Age:
    Children (7-12 years old)
    Teenagers (13-17 years old)
    Adults (18-64 years old)
    Seniors (65+ years old)
    Student level:
    Beginner
    Intermediate
    Duration:
    60 minutes
    The class is taught in:English, French, Arabic

    About Me

    Translated by Google. Click to view original.
    I am a hardware design verification engineer and a PhD student in deep learning and embedded systems, if you are looking for courses on:
    digital electronics, design and verification processes, artificial intelligence, machine learning and deep learning, then you are in the right place.

    Skills:
    • Artificial intelligence, machine learning and deep learning
    • Verification methodologies: UVM, C-driven, formal (SVA), OOP, constrained random verification, metric-driven verification, UVM and C based testbenches, code coverage.
    • Languages: System Verilog, C, C++, Tcl, Verilog, VHDL, Makefile, Python, XML.
    • Simulation: VCS/Synopsys.
    • Data management, tracking: SVN, JIRA.
    • Flow: verification plan, schedules, VIP, test benches, sequences and test cases, integration tests, coverage, checkers and assertions, regressions.

    Education

    Translated by Google. Click to view original.
    Doctoral student: Development/optimization of embedded systems and image processing algorithms for the detection of traffic offenses in real time.
    Engineer in embedded electronic systems.

    Experience / Qualifications

    Translated by Google. Click to view original.
    2+ years as a verification engineer.
    1 year+ as an automotive software engineer.
    Skills:
    • Artificial intelligence, machine learning and deep learning
    • Verification methodologies: UVM, C-driven, formal (SVA), OOP, constrained random verification, metric-driven verification, UVM and C based testbenches, code coverage.
    • Languages: System Verilog, C, C++, Tcl, Verilog, VHDL, Makefile, Python, XML.
    • Simulation: VCS/Synopsys.
    • Data management, tracking: SVN, JIRA.
    • Flow: verification plan, schedules, VIP, test benches, sequences and test cases, integration tests, coverage, checkers and assertions, regressions.
    If you're seeking to gain a competitive edge in the VLSI field, you have found the ideal resource. As a seasoned Hardware Design Verification Engineer, I offer my tutoring services to individuals interested in delving into Digital Electronics, as well as FPGA/ASIC/SoC Circuits. Whether you require assistance in Design (VHDL, VERILOG, SYSTEMVERILOG) or Verification (Simulation Synopsys), I am well-equipped to provide the support you need. Please feel free to reach out to me without hesitation.

    Ask a question

    Send a message explaining your needs and Mohamed will reply soon:
    The more detail, the better.
    Ex. "Hi, when are you available to meet for a lesson?"

    Availability of a typical week

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    from 137.74 CNYAt teacher's location
    from 137.74 CNYOnline via webcam

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

    Online reputation

    • Instructor since May 2023
    • Phone number verified
    • Google connected

    Availability of a typical week

    (GMT -05:00) New York
    MonTueWedThuFriSatSun
    0              
    1              
    2            Saturday at 2:00  Sunday at 2:00
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    from 137.74 CNYAt teacher's location
    from 137.74 CNYOnline via webcam

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

    Share


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