Webinar
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Learn All About Classification in Machine Learning 2 (Livestream)

minimal usia: 18 tahun
Level: Pemula
Bahasa Pengantar: Indonesia & Inggris
  • Pengajar:

    Algoritma Data Science Education

  • Tanggal dimulai:

    Senin, 13 Juli 2020
    06.30 PM - 09.30 PM WIB

  • Situs Webinar:

    Zoom

  • Kapasitas:

    100

Tentang Workshop

Hi Learners! Classification in Machine Learning 2 is a 4-days (each 3 hours), in a livestream interactive online workshop format. Learn to apply the law of probabilities, boosting, bootstrap aggregation, k-fold cross-validation, ensembling methods, and a variety of other techniques as we build some of the most widely used machine learning algorithms today. Learn to add performance to your models using mathematically sound principles you’ll learn in this course.

We strongly recommend that you complete the Programming for Data Science, Practical Statistics and Regression Model courses prior to taking this course. Some concepts presented throughout the lecture may be less-than-ideal for practitioners who have not completed the pre-requisite courses.Our course is beginner-friendly, as we want to democratize data science.

Our professional instructors and teaching assistant will be guiding you with the course. So, what are you waiting for? Register yourself now to be a data scientist!


PRASYARAT

We strongly recommend that you complete the Programming for Data Science, Practical Statistics and Regression Model courses prior to taking this course


Poin Materi Belajar

MODULE 1: NAIVE BAYES
1. LAW OF PROBABILITY
- Dependent and Independent Events
- Bayes Theorem
- Formula for Posterior Probability
2. NAIVE BAYES CLASSIFIER
- Characteristics of a Naive Bayes Classifier
- The “Naive” Assumptions
- Customer Churn Example
3. PRACTICAL AND PERFORMANCE CONSIDERATIONS
- The Case for Smoothing
- Laplace (Add-One)
- Thinking about Training vs Prediction Speed
4. NAIVE BAYES IN ACTION
- Spam Classification
- Predicting on Text (Corpus)
- Predicting Political Party Affiliation

MODULE 2: TREE-BASED METHODS AND ENSEMBLES
1. DECISION TREES
- Advantages and Model Characteristics
- Information Gain and Splitting Criterion
- Pruning and Tree Size
2. DECISION TREES IN ACTION
- Predicting Diabetes from Diagnostics Measurement
- AUC Curve
- Key Considerations and Practical Advice
3. MACHINE LEARNING THEORIES
- Logistic Regression, Naive Bayes, and Decision Trees Have More in Common Than You Think
- Industrial Applications
- Thinking About Decision Boundaries
4. HIGH-PERFORMANCE MACHINE LEARNING
- Bias-Variance Tradeoff Revisited k-Fold Cross-Validation
- Predicting Exercise Form with Fitness Tracker Data


Jadwal Kelas

    • Tanggal dimulai
    • Waktu
    • # Sesi
    • Harga
    • 13 Jul (Senin)
    • 06.30 PM - 09.30 PM WIB
    • 4
    • Rp 2.200.000
    This course consists of multiple sessions, view schedule for sessions.
      • 13 Jul (Mon)
      • 06.30 PM - 09.30 PM WIB

      Classification in Machine Learning 2

      • 14 Jul (Tue)
      • 06.30 PM - 09.30 PM WIB

      Classification in Machine Learning 2

      • 15 Jul (Wed)
      • 06.30 PM - 09.30 PM WIB

      Classification in Machine Learning 2

      • 16 Jul (Thu)
      • 06.30 PM - 09.30 PM WIB

      Classification in Machine Learning 2


Rp 2.200.000 / per pax

Minggu, 12 Juli 2020, 11 PM WIB

Rp 2.200.000
Beli kelas ini segera dan dapatkan poin hingga Rp 44.000 untuk pembelian kelas berikutnya!


Tentang Pengajar

  • Algoritma Data Science Education
    Algoritma Data Science Education, (Data Science)

    Learn data science by building with Algoritma! We hold programming workshops and bootcamps for those who are looking to upgrade their data science skills.


Harga termasuk:

- All tools & materials during class
- Ongoing Mentorship
- Teaching Assistant Support


Sertifikat

Bentuk Sertifikat: Elektronik


Yang perlu disiapkan

- Laptop with minimum RAM 4GB
- Hard Disk with capacity free space of 10GB


Tanya Jawab

  • Tanya : Bisakah saya mendapat pengembalian uang jika tiba-tiba saya berhalangan hadir?

    Jawab : Tidak.

  • Tanya : Bisakah teman saya menggantikan saya jika saya berhalangan hadir?

    Jawab : Bisa, kalau kamu peserta umum dan bukan penerima Kartu Prakerja. Untuk penerima Kartu Prakerja kamu tidak diperbolehkan mengganti kepesertaan.


Syarat & Ketentuan

Semua pembayaran tidak dapat diuangkan kembali dan tidak bisa dialihkan ke workshop lain, tapi kamu boleh memberikan tiketmu ke orang lain jika kamu peserta umum. Untuk penerima Kartu Prakerja, pemindahan kepesertaan tidak berlaku. Hubungi tim kami untuk pengaturan lebih lanjut.

Segala pemberitahuan mengenai informasi dan perubahan kelas akan disampaikan langsung oleh sistem kami melalui email, harap melakukan pengecekan email secara berkala.


Catatan Khusus

Kesulitan mendaftar? Kami bisa membantu! Hubungi kami di
Whatsapp/SMS: +62 811 880 7172
Email: workshop@maubelajarapa.com
LINE: @maubelajarapa
Sampai ketemu di kelas!

Rp 2.200.000 / per pax

Minggu, 12 Juli 2020, 11 PM WIB

Rp 2.200.000
Beli kelas ini segera dan dapatkan poin hingga Rp 44.000 untuk pembelian kelas berikutnya!

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