Machine Learning Basics

Machine Learning Basics

  • ( 5.0 ) (4 Reviews) 99 eingeschriebene Studenten


Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across. As it is evident from the name, it gives the computer that which makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect.

Was sind die Anforderungen?

  • Basic high-school level Mathematics.

Was bekomme ich von diesem Kurs?

  • You will master in knowing which machine learning model to use for each type of problem.
  • You will learn to make accurate predictions and powerful analysis.
  • You will be able to personalise machine learning applications.

Was ist das Zielpublikum?

  • Anyone who is interested in learning Machine Learning.
  • Anyone who wishes to add value to their business using Machine Learning tools.

Über den Autor

We at SkillRary strive to provide simple yet powerful training or tuition on all domains. This organization has started with a mindset to share the knowledge that the internet or an individual has in a progressive manner. SkillRary is an online training programme, trying to get the best content for all on a very low cost and thereby helping everyone with a digital schooling and online education.  

SkillRary provides computer based training (CBT), distance learning or e-learning, that takes place completely on the internet. The courses involve a variety of multimedia elements, including graphics, audio, video, and web-links which can be accessed to the enrolled clients.

In addition to presenting course materials and content, SkillRary gives the students the opportunity for live interactions and real-time feedback in the form of quizzes and tests. Interactions between the instructor and students are also conducted via chat, e-mail or other web-based communication. Unlike any other, we here also let the students know which module has to be gone through first. All the modules are placed according to the lesson plans so that students will know what to refer first.

SkillRary is self-paced and customizable to suit an individual's specific learning needs. Therefore it can be conducted at any time and place, provided there is a computer or smartphone with high-speed internet access. This makes it very convenient to the users who can modify their training to fit into their day-to-day schedule. All our users will be able to use our eLearning system to its full capacity.


Table Of Content
1 Video Lectures | 03:52

  • Table of Content

Machine Learning Introduction
4 Video Lectures | 55:08

  • Introduction
  • Well posed learning problems
  • Desgning a learning system
  • issune in machine learning

Concept Learning
10 Video Lectures | 01:35:11

  • Concept learning
  • General to specific ordering of hypotheses
  • Find a Algorithm
  • Version Space
  • list then eliminate algorithm
  • candidate elimination algorithm
  • candidate elimination algorithm example
  • Remarks on Version Space
  • unbiased learner
  • Inductive learner

Decision Tree Learning
12 Video Lectures | 02:15:29

  • Decision Tree
  • Decision Tree Representation
  • Problems for DTL
  • Entropy
  • Information Gain
  • ID3
  • IDE Example
  • 2nd Exmple
  • Some Insight of DL
  • Inductive Bias of Dl
  • Restriction Biases and Preference Biases
  • Issues in Decision Tree


  • Manu Kumar
    I found the course to be amazing. I got hands-on experience of implementation of machine learning.
  • Suprit C
    The course was well structured, covering large concepts of ML. This course is a great start for anyone who is keen on learning ML.
  • Stevi S
    very nice content
  • chandana S
    very informative