Short Course
  • 169 orang melihat ini

Learn All About Machine Learning Specialization (Day Class)

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

    Algoritma Data Science Education

  • Tanggal dimulai:

    Senin, 10 Agustus 2020
    01.00 PM - 04.00 PM WIB

    Lihat Tanggal Lainnya
  • Alamat:

    Algoritma Data Science Education Center
    Menara Kadin Indonesia, 4th Floor Jl. H. R. Rasuna Said Blok X-5 No.Kav 3, RT.1/RW.2, Kuningan, Kuningan Tim., Setia Budi, Kota Jakarta Selatan 12950

    Lihat Peta
  • Kapasitas:

    35

Tentang Workshop

Hi Learners! The Machine Learning Specialization is a 8-week bundle that is curated to accelerate a student’s mastery in building data products, develop machine learning models, and understand the core components that form the most of industrial-grade AI today.

Students are not assumed to have a working knowledge of R or prior proficiency in statistics / mathematics / algebra. At such the workshop follows a gentle learning curve and emphasize on hands-on, one-to-one tutoring from our team of instructors and teaching assistants.

Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

Throughout the course of the Academy, you will learn to build, evaluate and deploy your data science products, one project after another. Upon graduation, our team of career support executives and mentors will assist you onto the path of a data science role in a reputable company.

It is going to be An intensive specialization that strives for a fine balance between practical applications and mathematical rigor in teaching essential machine learning concepts. By taking a learn-by-building approach, you will learn to develop regression and classification algorithms and incorporate them into real-life solutions or data products / business applications.

The modules in all the workshops follow our project-based learning philosophy to this specialization. The course capstone requires that the student build a real-world application under stringent criteria modeled after real business scenarios.

So, what are you waiting for? Register yourself now to be a machine learning specialist!


Poin Materi Belajar

1. Programming for Data Science
- Data Science in R
- Working with Data
- Data Manipulation I & II
- Practice Data Cleansing
- R in Practice

2. Practical Statistics
- 5-Number Summary
- Central Tendency & Variability
- Standard Score and Z-Score
- Probabilities
- Intervals
- Inferential Statistics in Practice

3. Regression Models
- OLS Regression
- Linear Models in R
- Interpreting Linear Models
- Multiple Regression

4. Machine Learning: Classification 1
- Relating Probabilities to Odds
- Logistic Regression from First Principles
- Logistic Regression in Action
- Practical Tips and Case Study
- Performance Evaluation and Model Selection

5. Machine Learning: Classification 2
- Law of Probability
- Naive Bayes Classifier
- Practical and Performance Considerations
- Naive Bayes in Action
- Decision Trees
- Decision Trees in Action
- Machine Learning Theories
- High-Performance Machine Learning

6. Unsupervised Machine Learning
- Principle Component Analysis
- PCA from First Principles
- PCA in Action I & II
- Understanding Clustering
- k-Means Clustering in Action
- Evaluating k-Means

7. Time Series & Forecasting
- Working with Time Series
- Time Series in Action
- Classical Decomposition
- Classical Decomposition in Action
- Techniques To Work with Time Series
- Forecasting I, II, and III
- Advanced Times Series I & II

8. Neural Networks & Deep Learning
- Artificial Neural Networks
- Neural Network Architecture I & II
- Multi-Layer Perceptions (MLP)
- Neural Networks From First Principles
- Neural Networks from Scratch
- Neural Networks in Action
- Deep Learning in Action I & II
- Mxnet in Action

9. Capstone Project
- Create machine learning prediction and recommendation


Jadwal Kelas

    • Tanggal dimulai
    • Waktu
    • # Sesi
    • Harga
    • 10 Ags (Senin)
    • 01.00 PM - 04.00 PM WIB
    • 30
    • Rp 33.000.000
    This course consists of multiple sessions, view schedule for sessions.
      • 10 Aug (Mon)
      • 01.00 PM - 04.00 PM WIB

      Programming for Data Science: Module 1 (Matriculation Subject)

      • 11 Aug (Tue)
      • 01.00 PM - 04.00 PM WIB

      Programming for Data Science: Module 2 (Matriculation Subject)

      • 12 Aug (Wed)
      • 01.00 PM - 04.00 PM WIB

      Programming for Data Science: Module 3 (Matriculation Subject)

      • 13 Aug (Thu)
      • 01.00 PM - 04.00 PM WIB

      Practical Statistics: Module 1 (Matriculation Subject)

      • 14 Aug (Fri)
      • 01.00 PM - 04.00 PM WIB

      Practical Statistics: Module 2 (Matriculation Subject)

      • 14 Sep (Mon)
      • 01.00 PM - 04.00 PM WIB

      Regression Model: Module 1

      • 15 Sep (Tue)
      • 01.00 PM - 04.00 PM WIB

      Regression Model: Module 2

      • 16 Sep (Wed)
      • 01.00 PM - 04.00 PM WIB

      Regression Model: Module 3

      • 17 Sep (Thu)
      • 01.00 PM - 04.00 PM WIB

      Regression Model: Module 4

      • 21 Sep (Mon)
      • 01.00 PM - 04.00 PM WIB

      Classification I Machine Learning: Module 1

      • 22 Sep (Tue)
      • 01.00 PM - 04.00 PM WIB

      Classification I Machine Learning: Module 2

      • 23 Sep (Wed)
      • 01.00 PM - 04.00 PM WIB

      Classification I Machine Learning: Module 3

      • 24 Sep (Thu)
      • 01.00 PM - 04.00 PM WIB

      Classification I Machine Learning: Module 4

      • 28 Sep (Mon)
      • 01.00 PM - 04.00 PM WIB

      Classification II Machine Learning: Module 1

      • 29 Sep (Tue)
      • 01.00 PM - 04.00 PM WIB

      Classification II Machine Learning: Module 2

      • 30 Sep (Wed)
      • 01.00 PM - 04.00 PM WIB

      Classification II Machine Learning: Module 3

      • 1 Oct (Thu)
      • 01.00 PM - 04.00 PM WIB

      Classification II Machine Learning: Module 4

      • 5 Oct (Mon)
      • 01.00 PM - 04.00 PM WIB

      Unsupervised Machine Learning: Module 1

      • 6 Oct (Tue)
      • 01.00 PM - 04.00 PM WIB

      Unsupervised Machine Learning: Module 2

      • 7 Oct (Wed)
      • 01.00 PM - 04.00 PM WIB

      Unsupervised Machine Learning: Module 3

      • 8 Oct (Thu)
      • 01.00 PM - 04.00 PM WIB

      Unsupervised Machine Learning: Module 4

      • 12 Oct (Mon)
      • 01.00 PM - 04.00 PM WIB

      Time Series & Forecasting: Module 1

      • 13 Oct (Tue)
      • 01.00 PM - 04.00 PM WIB

      Time Series & Forecasting: Module 2

      • 14 Oct (Wed)
      • 01.00 PM - 04.00 PM WIB

      Time Series & Forecasting: Module 3

      • 15 Oct (Thu)
      • 01.00 PM - 04.00 PM WIB

      Time Series & Forecasting: Module 4

      • 19 Oct (Mon)
      • 01.00 PM - 04.00 PM WIB

      Neural Network & Deep Learning: Module 1

      • 20 Oct (Tue)
      • 01.00 PM - 04.00 PM WIB

      Neural Network & Deep Learning: Module 2

      • 21 Oct (Wed)
      • 01.00 PM - 04.00 PM WIB

      Neural Network & Deep Learning: Module 3

      • 22 Oct (Thu)
      • 01.00 PM - 04.00 PM WIB

      Neural Network & Deep Learning: Module 4

      • 26 Oct (Mon)
      • 01.00 PM - 04.00 PM WIB

      Machine Learning Capstone Project


Rp 33.000.000 / per pax

Jumat, 07 Agustus 2020, 3 PM WIB

Rp 33.000.000
Beli kelas ini segera dan dapatkan poin hingga Rp 660.000 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
- Community & Networking Access


Sertifikat

Bentuk Sertifikat: Cetak


Yang perlu disiapkan

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


Peta Lokasi

Open in Maps

Tanya Jawab

  • Tanya : If I don't have any experience in programming or statistics, will I be able to follow through the course?

    Jawab : Yes our course is beginner-friendly, as we want to democratize data science. For those who have not learn or familiar with programming, do not worry as our instructors and teaching assistants will be guiding you with the course.

  • Tanya : What will be the outcome of the course?

    Jawab : Students will be able to create their own machine learning capstone project (e.g: creating a forecast on sales trend or seasonality, future projections, classification, etc) that will become their own portfolio to showcase their talent and skills.

  • Tanya : What are the pre-requisite to enrol?

    Jawab : There are no pre-requisite, as long students have willingness to learn.

  • Tanya : How long is the course?

    Jawab : The course duration is 30 days, each day of @3 hours. There are 2 time options of Day (1PM - 4PM) and Night (6.30PM - 9.30PM)

  • 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 33.000.000 / per pax

Jumat, 07 Agustus 2020, 3 PM WIB

Rp 33.000.000
Beli kelas ini segera dan dapatkan poin hingga Rp 660.000 untuk pembelian kelas berikutnya!

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