Monday, July 4, 2022
Techiexpert.com
No Result
View All Result
  • Login
  • Register
Exclusive Videos
  • Tech news
  • Startup news
  • Artificial Intelligence
  • IOT
  • Big Data
  • Cloud
  • Data Analytics
  • Machine Learning
  • Blockchain
  • Social Media
  • Tech news
  • Startup news
  • Artificial Intelligence
  • IOT
  • Big Data
  • Cloud
  • Data Analytics
  • Machine Learning
  • Blockchain
  • Social Media
No Result
View All Result
TechiExpert
No Result
View All Result

Why Data Analysis & Not Math Is A Prerequisite For Machine Learning

Srikanth by Srikanth
December 1, 2018
in Data Analytics
Reading Time: 2 mins read
Why Data Analysis & Not Math Is A Prerequisite For Machine Learning
10
SHARES
141
VIEWS
Share on FacebookShare on Twitter

Machine Learning is a very intriguing area. If you are a beginner, you might even wonder how can a machine learn something? Well, if you are really curious to explore the depths of machine learning then your math basics like Linear Algebra must be strong but as an entry level data scientist you would be presented with data cleaning and structuring more often than using the real math.

What is Data Analysis and why do we use it in Machine Learning?

Well, for one you first need to obtain and collect the data in whatever format it is available and store it some data base server. The next part that is structuring the data is very important. Also, it is not enough to just clean and structure the data you will be asked to graphically show the results of your structuring which means data visualization is also a major part in your machine learning career. If you are not sure where to start, data analysis is the best way to kick start your learning process.

Don’t think that just knowing how to analyze the data is enough to get going!

Machine learning is as complicated as it sounds. It requires enormous amounts of computing power as well as smart algorithms which can effectively cut down the delay time. If you are somewhat not sure about your mathematics basics in linear algebra or probability you may want to revisit your text books. As an absolute beginner to understand the concept of machine learning data analysis is required. Though you use mathematical expressions all throughout your machine learning career, with out the knowledge of data analysis everything will look obscure. So, once a person has gained confidence in data analysis they can move on to learning the basic and advanced concepts of probability, statistics and linear algebra.

Most of the existing algorithms are devised based on these concepts. To make your own machine learning design it will take time because of sheer complexity and lack of experience in the field for a beginner. The very commonly used languages in Machine Learning are R and Python. If you have heard about R, you may know that it is primarily used to model mathematical problems in statistics. Python is a versatile language capable of handling Machine Learning algorithms very well. You can never pick one language over other or one platform over other since everything has its own purpose.

If you are starting your career as a Machine Learning engineer, 80% of your work load would to clean the data and structure it. Then comes the most difficult and exciting part – application or designing of ML algorithms. You may also want to familiarize yourself with graph theory and optimization techniques before you start anything. Optimization techniques would be of paramount importance in writing and developing efficient codes for Machine Learning models!

Machine Learning has been around for a while now and it is slowly grasping the reign of technologies available today. It is a very great field to work and it is equally complicated and tiring.

Share4Tweet3Share1Pin1

Related Posts

Cyber security trends to watch in 2022
Data Analytics

Cyber security trends to watch in 2022

Review on google data analytics certificate program
Data Analytics

Review on Google Data Analytics Professional Certificate

How to Successfully do a Data Quality Assessment?
Data Analytics

How to Successfully do a Data Quality Assessment

How can Analytics impact everyday life
Data Analytics

How can Analytics impact everyday life?

How Analytics infusion helps in data-driven operations
Data Analytics

How Analytics infusion helps in data driven operations

Most Read

  • How to Track Someone’s iPhone by Phone Number?

    How to Track Someone’s iPhone by Phone Number?

    502 shares
    Share 201 Tweet 126
  • Top 5 car automation trends to know

    273 shares
    Share 109 Tweet 68
  • Is Parody Coin investment a Good Investment?

    101 shares
    Share 40 Tweet 25
  • What is windows modules installer ? How to Enable/Disable

    1246 shares
    Share 498 Tweet 312
  • Tips to Reduce Your Website Hosting Costs

    882 shares
    Share 352 Tweet 220
  • How to Track Activities an Instagram account?

    88 shares
    Share 35 Tweet 22

Recent Stories

Doing Cleanup: 5 Types of Links You Should Disavow

Backlinks
Share4Tweet3Share1Pin1

Telemedicine or e-medicine: What is it?

Telemedicine Business
Share5Tweet3Share1Pin2

Hyperlocal marketplace Urvann raises Rs. 3 Cr in Seed Round led by IPV

Hyperlocal marketplace Urvann raises Rs. 3 Cr in Seed Round led by IPV
Share5Tweet3Share1Pin2

Does domain extensions impact SEO standards

Does domain extension impact SEO standards
Share5Tweet3Share1Pin2
  • Terms of use
  • Privacy Policy
  • About Us
  • Contact us
  • Write For Us
  • Cookie Policy

© 2022 All Rights Reserved

No Result
View All Result
  • Tech news
  • Startup news
  • Artificial Intelligence
  • IOT
  • Big Data
  • Cloud
  • Data Analytics
  • Machine Learning
  • Blockchain
  • Social Media

© 2022 All Rights Reserved

Welcome Back!

Login to your account below

Forgotten Password? Sign Up

Create New Account!

Fill the forms below to register

All fields are required. Log In

Retrieve your password

Please enter your username or email address to reset your password.

Log In
Cookie Law Notice
This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Cookie settingsACCEPT
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
SAVE & ACCEPT