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Intro to Machine Learning with PyTorch

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Certification

Intro to Machine Learning with PyTorch

Learn the basics of machine learning from data manipulation to unsupervised and supervised algorithms.

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Description

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Features

This course includes

Duration

3 months
Effort
10 hours per week
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English
Enrollment date
16th March 2022

Careervira Take

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Course Credibility

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Pedagogy

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Hands-on training

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Career impact

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Pricing

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Assessment

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Skills

Machine Learning AlgorithmsUnsupervised LearningSupervised LearningMachine Learning TechniquesData CleaningData ScienceMachine LearningPython

Learning Goals

Supervised Learning
Deep Learning
Unsupervised Learning

Course Content

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Prerequisites/Requirements

At least 40 hours of programming experience
Familiarity with data structures like dictionaries and lists
Experience with libraries like NumPy and pandas
Experience calculating the probability of an event
Familiarity with terms like the mean and variance of a probability distribution

Target Audience

This Nanodegree program accepts everyone, regardless of experience and specific background

Instructors

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Cezanne Camacho

Curriculum Lead

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Mat Leonard

Instructor

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Luis Serrano

Instructor

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Dan Romuald Mbanga

Instructor

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Josh Bernhard

Data Scientist at Nerd Wallet

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Jay Alammar

Instructor

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Andrew Paster

Instructor

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Corporate Sponsors

Kaggle

AWS

Course Overview

Job assistance

Hands-On Training, Instructor-Moderated Discussions

Post course interactions

CapStone project

International faculty

Personalized Teaching

Reviews

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FAQs

Why should I enroll?

What jobs will this program prepare me for?

How do I know if this program is right for me?

What is the difference between Intro to Machine Learning with PyTorch, and Intro to Machine Learning with TensorFlow Nanodegree programs?

Do I need to apply? What are the admission criteria?

What are the prerequisites for enrollment?

If I do not meet the requirements to enroll, what should I do?

Do I have to take the Intro to Machine Learning Nanodegree program before enrolling in the Machine Learning Engineer Nanodegree program?

How is this Nanodegree program structured?

How long is this Nanodegree program?

Can I switch my start date? Can I get a refund?

I have graduated from the Intro to Machine Learning Nanodegree program, but I want to keep learning. Where should I go from here?

What software and versions will I need in this program?

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₹68,547

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