Machine Learning with Go
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       Video Length : 4h20m0s
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       Tasks Number : 35
  • group
       Students Enrolled : 10
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       Medium Level
  • Curriculum
  • 1. Gathering and Organizing Data
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      The Course Overview
      10m0s
    • videocam
      Handling Data
      10m0s
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      CSV Files
      10m0s
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      JSON
      10m0s
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      SQL-like Databases
      10m0s
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      Caching
      10m0s
  • 2. Matrices, Probability, and Statistic
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      Matrices and Vectors
      10m0s
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      Statistics
      10m0s
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      Probability
      10m0s
  • 3. Evaluation and Validation
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      Evaluation
      10m0s
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      Validation
      10m0s
  • 4. Regression
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      Linear Regression
      10m0s
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      Multiple Linear Regression
      10m0s
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      Nonlinear and Other Types of Regression
      10m0s
  • 5. Classification
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      Logistic Regression
      10m0s
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      k-Nearest Neighbors
      10m0s
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      Decision Trees
      10m0s
  • 6. Clustering
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      Understanding Clustering
      10m0s
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      k-Means Clustering
      10m0s
  • 7. Time Series and Anomaly Detection
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      Representing Time Series Data in Go
      10m0s
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      Statistics Related to Time Series
      10m0s
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      Auto-Regressive Models
      10m0s
  • 8. Neural Networks
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      Understanding Neural Net Jargon
      10m0s
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      Utilizing the Simple Neural Network
      10m0s
  • 9. Deploying Models on Remote Machines
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      Dockerizing the Model
      10m0s
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      Dockerizing Model Predictions
      10m0s
Authors

Kevin Gautama is a systems design and programming engineer with 16 years of expertise in the fields of electrical and electronics and information technology.

He teaches at the Hanoi University of Industry in the period 2003-2011 and he has a certificate of vocational training by the Ministry of Industry and Commerce and the Hanoi University of Industry.

From extensive design experience through numerous engineering projects, the author founded the Enziin Academy.

The Enziin Academy is a startup in the field of educational, it's core goal is to training design engineers in the fields technology related.

The Enziin Academy is headquartered in Stockholm-Sweden with an orientation operating multi-lingual and global.

The author's skills in IT:

  • Implementing the application infrastructure on Amazon's cloud computing platform.
  • Linux server system administration (Sysadmin).
  • Design load balancing and content distribution system.
  • MySQL database administration.
  • C/C++/C# Programming
  • Ruby and Ruby on Rails Programming
  • Python and Django Programming
  • The WPF/C# on the .NET Framework Programming
  • The PHP/JAVA Programming
  • Machine Learning and Expert System.
  • Internet of Things.

The author's skills in the fields of electric and electronic:

  • The design of popular CPU / MCU systems.
  • Design FPGA / CPLD system (Xilinx - Altera).
  • Design and programming of DSP systems (Texas Instruments).
  • Embedded ARM system design.
  • The RTOS Programming
  • Design and programming electronic power systems.
  • PLC - inverter - sensor - electric control cabinet industrial.
  • Control systems distributed connection with Server.

Read more...

Machine Learning with Go


Machine Learning with Go

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