Latest Courses
ISTQB Artificial Intelligence Tester Sample ExamsCheck course
JAVA Programming Online Practice ExamCheck course
Programming for Kids and Beginners: Learn to Code in PythonCheck course
Practice Exams | Codeigniter 4 developer certificationCheck course
WordPress Practice Tests & Interview Questions (Basic/Adv)Check course
Git &Github Practice Tests & Interview Questions (Basic/Adv)Check course
Machine Learning and Deep Learning for Interviews & ResearchCheck course
Laravel | Build Pizza E-commerce WebsiteCheck course
101 - F5 CERTIFICATION EXAMCheck course
Master Python by Practicing 100 QuestionCheck course
ISTQB Artificial Intelligence Tester Sample ExamsCheck course
JAVA Programming Online Practice ExamCheck course
Programming for Kids and Beginners: Learn to Code in PythonCheck course
Practice Exams | Codeigniter 4 developer certificationCheck course
WordPress Practice Tests & Interview Questions (Basic/Adv)Check course
- 50% Introduction to Machine Learning For Beginners [A to Z] 2020

Introduction to Machine Learning For Beginners [A to Z] 2020

$9.99Track price

Add your review
Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare

Learning Outcomes

To provide awareness of the two most integral branches (i.e. supervised & unsupervised learning) coming under Machine Learning

Describe intelligent problem–solving methods via appropriate usage of Machine Learning techniques.

To build appropriate neural models from using state–of–the–art python framework.

To build neural models from scratch, following step–by–step instructions.

To build end – to – end solutions to resolve real–world problems by using appropriate Machine Learning techniques from a pool of techniques available.

To critically review and select the most appropriate machine learning solutions

To use ML evaluation methodologies to compare and contrast supervised and unsupervised ML algorithms using an established machine learning framework.

Beginners guide for python programming is also inclusive.

Indicative Module Content

Introduction to Machine Learning:–  What is  Machine Learning  ?,  Motivations for Machine Learning,  Why Machine Learning? Job Opportunities for Machine Learning

Setting up the Environment for Machine Learning:–Downloading & setting–up Anaconda, Introduction to Google Collabs

Supervised Learning Techniques:–Regression techniques, Bayer’s theorem, Naive Bayer’s, Support Vector Machines (SVM),  Decision Trees and Random Forest.

Unsupervised Learning Techniques:– Clustering, K–Means clustering

Artificial Neural networks [Theory and practical sessions – hands–on sessions]

Evaluation and Testing mechanisms :– Precision, Recall, F–Measure, Confusion Matrices,

Data Protection &  Ethical Principles

Specification: Introduction to Machine Learning For Beginners [A to Z] 2020

Duration

7.5 hours

Year

2020

Level

All

Certificate

Yes

Quizzes

No

User Reviews

0.0 out of 5
0
0
0
0
0
Write a review

There are no reviews yet.

Be the first to review “Introduction to Machine Learning For Beginners [A to Z] 2020”

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Introduction to Machine Learning For Beginners [A to Z] 2020
Introduction to Machine Learning For Beginners [A to Z] 2020

$9.99

Price tracking

Java Code Geeks
Logo
Register New Account
Compare items
  • Total (0)
Compare