WSQ - Predictive Modelling with Pytorch | WSQ Courses

Originally published at: http://valuecourses.com/courses/wsq-predictive-modelling-with-pytorch-wsq-courses/

PyTorch is an open source machine learning library used for developing and training neural network based deep learning models. It is primarily developed by Facebook’s AI research group.

This two day Predictive Modeling with Pytorch course will teach you how to use Pytorch for developing machine learning model for regression and classificaton. It willl also teach how to visualize the data and model using Tensorboard.

Learning Outcomes

By the end of the course, learners will be able to:

  • apply machine learning principles to gain business insights.
  • aggregate data to help test problem using Pytorch.
  • apply predictive data modeling techniques to identify underlying trend and patterns in data using neural networks.
  • develop prototype classification model using machine learning techniques to gain new insight from data.
  • identify patterns using convolutional neural network model to derive insights and make decision.
  • use Tensorboard data visualisation tool to create interactive visualizations of data.

Course Brochure

Download WSQ – Predictive Modelling with Pytorch Brochure

Certification

Two e-certificates will be awarded to trainees who have demonstrated competency in the Predictive Modeling with Pytorch assessment and achieved at least 75% attendance.

  • WSQ Statement of Attainment (SOA) Data Analytics TSC WST-BIN-3104-1.1 under the Wholesale Trade Skills Framework issued by WSG
  • Certification of Achievement by Tertiary Infotech Pte Ltd

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective from 1 Jan 2022
Full Fee GST Nett Fee after Funding (Incl. GST)
Normal MCES / SME
$688 $48.16 $392.16 $336.16

Normal: Singaporean/PR age 21 and above
MCES: Singaporean age 40 and above

Effective for courses starting from 1 Jan 2023
Full Fee GST Nett Fee after Funding (Incl. GST)
Normal MCES / SME
$688 $55.04 $399.04 $261.44

Normal: Singaporean/PR age 21 and above
MCES: Singaporean age 40 and above

WSQ TG Application Form

Eligible individuals and company can apply for WSQ TG. Please login to Skilleto and fill in the required details for grant application. Please click here to submit for WSQ TG

Please do not pay upfront. We will advise you on the eligibility and nett fee after registration. Company sponsored staff are eligible for Absentee Payroll.


After the WSQ subsidy, you can offset the nett fee by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped at $250 per year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding. Click here for ad-hoc PSEA application form.

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