How do I start research in machine learning?

Start with a clear idea of why you want to research a given machine learning algorithm, and then pick those sources that can best answer the questions that you have. There are 5 different sources that you can use in your research of a machine learning algorithm, we will review each in turn.

What are the main topics of machine learning?

Machine Learning includes the following:

• Artificial intelligence.
• Data science.
• Computer science.
• Mathematics.
• Statistics.
• Data mining.
• Deep learning.
• Natural Language Processing.

How do I become a deep learning researcher?

In order to start your research towards it, you have to do basic courses related to it. Like machine learning, time series, data analysis, etc. Because deep learning will involve a lot of data to do analyze. You may also need to go through neural network courses for better understanding the basics of data processing.

What are ML techniques?

Machine learning (ML) techniques enable systems to learn from experience. ML refers to a system’s ability to acquire and integrate knowledge through large-scale observations and to improve and extend itself by learning new knowledge rather than by being programmed with that knowledge (Shapiro, 1992).

Is machine learning a research field?

It is a cross-disciplinary research field that includes computer science, statistics, function approximation, optimization, control theory, decision theory, computational complexity, and experimentation.

How do I write a research paper in machine learning?

State the goals of the research and the criteria by which readers should evaluate the approach. Categorize the paper in terms of some familiar class; e.g., a formal analysis, a description of some new learning algorithm, an application of established methods, or a computational model of human learning.

What are the current research topics in machine learning?

Here is the list of current research and thesis topics in Machine Learning: Machine Learning Algorithms. Computer Vision. Supervised Machine Learning. Unsupervised Machine Learning. Deep Learning. Neural Networks. Reinforcement Learning. Predictive Learning. Bayesian Network. Data Mining. Machine Learning Algorithms

Why should you start working on machine learning project ideas?

As you start working on machine learning project ideas, you will not only be able to test your strengths and weaknesses, but you will also gain exposure that can be immensely helpful to boost your career. In this tutorial, you will find 15 interesting machine learning project ideas for beginners to get hands-on experience on machine learning.

Is machine learning a good career option for a researcher?

As a Machine Learning and artificial intelligence enthusiasts, you can gain a lot when it comes to the latest techniques developed in research. Thus, as a researcher, Machine Learning looks promising as a career option. You may go for a course in MOOC or take up online courses like the John Hopkins Data Science specialization.

Why should you read research papers on machine learning algorithms?

Another advantage of browsing through research papers on machine learning is that you can learn Machine Learning algorithms better. Students or ML professionals who read research papers on machine learning algorithms have a better understanding of programming and coding. Want to Know How Machine Learning Is Impacting our Lives?

https://www.youtube.com/watch?v=DowJkAHnWwo