Exploratory Information Evaluation for Machine Studying

About this Course

This primary course within the IBM Machine Studying Skilled Certificates introduces you to Machine Studying and the content material of the skilled certificates. On this course you’ll notice the significance of excellent, high quality information. You’ll be taught widespread strategies to retrieve your information, clear it, apply characteristic engineering, and have it prepared for preliminary evaluation and speculation testing.

By the top of this course it’s best to have the ability to: Retrieve information from a number of information sources: SQL, NoSQL databases, APIs, Cloud  Describe and use widespread characteristic choice and have engineering strategies Deal with categorical and ordinal options, in addition to lacking values Use a wide range of strategies for detecting and coping with outliers Articulate why characteristic scaling is essential and use a wide range of scaling strategies   Who ought to take this course? This course targets aspiring information scientists concerned with buying hands-on expertise  with Machine Studying and Synthetic Intelligence in a enterprise setting.   What abilities ought to you may have? To take advantage of out of this course, it’s best to have familiarity with programming on a Python growth setting, in addition to elementary understanding of Calculus, Linear Algebra, Likelihood, and Statistics.

This course is a part of a number of packages

This course may be utilized to a number of Specializations or Skilled Certificates packages. Finishing this course will rely in direction of your studying in any of the next packages:

• IBM Machine Studying Skilled Certificates
• IBM Introduction to Machine Studying Specialization

SKILLS YOU WILL GAIN

• Synthetic Intelligence (AI)
• Machine Studying
• Function Engineering
• Statistical Speculation Testing
• Exploratory Information Evaluation

Syllabus – What you’ll be taught from this course

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WEEK

1

2 hours to finish

A Temporary Historical past of Fashionable AI and its Functions

Synthetic Intelligence shouldn’t be new, however it’s new in a way that it’s simpler than ever to get began utilizing Machine Studying in enterprise settings. On this module, we are going to go over a fast introduction to AI and Machine Studying and we are going to go to a quick historical past of the fashionable AI. We may also discover a number of the present functions of AI and Machine Studying for you, to consider the way you wish to leverage them in your everyday enterprise observe or private tasks.

WEEK

2

3 hours to finish

Retrieving and Cleansing Information

Good information is the gasoline that powers Machine Studying and Synthetic Intelligence. On this module, you’ll learn to retrieve information from completely different sources, find out how to clear it to make sure its high quality.

WEEK

3

5 hours to finish

Exploratory Information Evaluation and Function Engineering

On this module you’ll learn to conduct exploratory evaluation to visually affirm it’s prepared for machine studying modeling by characteristic engineering and transformations.

WEEK

4

3 hours to finish

Inferential Statistics and Speculation Testing

Inferential statistics and speculation testing are two sorts of information evaluation typically neglected at early phases of analyzing your information. They can provide you fast insights concerning the high quality of your information. In addition they enable you affirm enterprise instinct and enable you prescribe what to investigate subsequent utilizing Machine Studying. This module seems at helpful definitions and easy examples that can enable you get began creating speculation round your corporation downside and find out how to check them.