How do I start learning Machine Learning?

 ONLEI Technologies

You first need to start with the basics. You need to understand the prerequisites, which include learning Linear Algebra and Multivariate Calculus, Statistics, and Python. Then you need to learn several ML concepts, which include terminology of Machine Learning, types of Machine Learning, and Resources of Machine Learning. The third step is taking part in competitions. You can also take up a free online statistics for machine learning course and understand the foundational concepts.

Is Machine Learning easy for beginners? 

Machine Learning is not the easiest. The difficulty in learning Machine Learning is the debugging problem. However, if you study the right resources, you will be able to learn Machine Learning without any hassles.

Search for a suitable problem that you can solve. Find relevant data and refine the question. Import the data from various formats, like JSON, XML, CSV, etc., based on your analysis. Explore and clean the data by removing any null values. Refine the model.

Machine learning is an application of AI that enables systems to learn and improve from experience without being explicitly programmed. 

Simple enough to be coded by a beginner. Flexible enough to execute complex programs. Clear enough to be readable by one and all. 





Types of Machine Learning

Machine learning is a subset of AI, which enables the machine to automatically learn from data, improve performance from past experiences, and make predictions. Machine learning contains a set of algorithms that work on a huge amount of data. Data is fed to these algorithms to train them, and on the basis of training, they build the model & perform a specific task.

Based on the methods and way of learning, machine learning is divided into mainly four types, which are:

  1. Supervised Machine Learning
  2. Unsupervised Machine Learning
  3. Semi-Supervised Machine Learning
  4. Reinforcement Learning


What is a simple example of Machine Learning? 

Recommendation Engines (Netflix); Sorting, tagging and categorizing photos (Yelp); Customer Lifetime Value (Asos); Self-Driving Cars (Waymo); Education (Duolingo); Determining Credit Worthiness (Deserve); Patient Sickness Predictions (KenSci); and Targeted Emails (Optimail).

Can I learn Machine Learning in 3 months? 

Machine Learning is vast and consists of several things. Therefore, it will take you around six months to learn it, provided you spend at least 5-6 days every day. Also, the time taken to learn Machine Learning depends a lot on your mathematical and analytical skills.



Does Machine Learning require coding? 

If you are learning traditional Machine Learning, it would require you to know software programming as it will help you to write machine learning algorithms. However, through some online educational platforms, you do not need to know coding to learn Machine Learning.

Is Machine Learning a good career? 

Machine Learning is one of the best careers at present. Whether it is for the current demand, job, and salary growth, Machine Learning Engineer is one of the best profiles. You need to be very good at data, automation, and algorithms.


Can I learn Machine Learning without Python? 

To learn Machine Learning, you need to have some basic knowledge of Python. A version of Python that is supported by all Operating Systems such as Windows, Linux, etc., is Anaconda. It offers an overall package for machine learning, including matplotlib, scikit-learn, and NumPy.

Where can I practice Machine Learning? 

The online platforms where you can practice Machine Learning include CloudXLab, Google Colab, Kaggle, MachineHack, and OpenML. 

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