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5 Machine Learning Courses You Should Learn this 2020

Author: Anna Abram
by Anna Abram
Posted: Aug 31, 2020

Assigned Title -8 Best Machine Learning (ML) Courses for 2020 (Req:Around 1000 words)

5 Machine Learning Courses You Should Learn this 2020

What’s like the demand for Machine Learning? Machine Learning is quite a buzzword in the job market, in fact, Gartner predicts that the Machine Learning field is expected to prepare 2.3 million jobs by upcoming years. So it is quite safe to say that the field will be in demand for decades to come as it offers lucrative salaries and decent work employment opportunities with leading establishments.

In the wake of the rising demand for Machine Learning, opting for Machine Learning courses online is quite a steal deal - but which one, that is a real question. The Machine Learning field is quite explorative and gives oceans of opportunities to career enthusiasts to get absorbed in.

Let’s walk you parallel around 5 types of Machine Learning Engineer courses from which you can explore your options for a progressive career run.

5 Machine Learning Courses Online - You Can Get Skilled With

Here are the 5 Machine Learning crash course options you can think of to make a certain future that is tandem to growth.

  1. Machine Learning Course

  2. Machine Learning Course with AI

  3. Machine Learning Course with Python

  4. Machine Learning Course with R

  5. Machine Learning course with TensorFlow

  1. Machine Learning Course

The Machine Learning courses online would brief you about core Machine Learning (ML) concepts for preparing the certification exams and job role of Machine Learning Engineers.

The course would brief you about the concepts as-

  • Machine Learning Techniques & automation tools

  • How to analyze data with Machine Learning algorithms

  • Supervised Machine learning concepts and algorithms

  • Unsupervised Machine Learning concepts and algorithms

  • Time Series Forecasting

  • Statement and Loops

  • Regular expression, Exceptions Handling & Debugging

The ML course will help you become familiar with how to use data to train models. And how to use the models to automate the processes like image classification, market forecasting, speech recognition, and more such requirements of businesses.

  1. Machine Learning Course with AI

Machine Learning is an application of AI that gives systems the ability to advance & improve themselves automatically, without needing to have it programmed. Machine Learning in AI focuses on the development of computer programs to make them access data and use them for their learning purpose.

The Machine Learning Courses with AI fundamentals are great for learning purposes. As you will get the ML and AI learning in a single source. With such courses, you will get combined learnings around concepts of:

  • AI, Python, Machine Learning

  • Machine Learning: Supervised & Unsupervised Learning

  • Deep Learning with Tensorflow, Keras

  • Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN)

  • Natural Language Processing (NLP)

  1. Machine Learning Course with Python

Python is a great object-oriented, interpreted, and interactive programming language is gaining popularity and widely used to support the Machine Learning process as its data handling capacity is great, is open source and good in analytics, and has a great capacity to interact with 3rd party languages and platforms.

Python is considered one of the best programming languages for Machine Learning tasks, thus, by having the Machine Learning course with Python, you will get a great understanding of how Python helps ML developers in writing reliable systems.

The Machine Learning Course with Python will build your knowledge around the concepts of:

  • Machine Learning Application

  • Machine Learning - Supervised and Unsupervised Learnings

  • Python Libraries for implementing ML models

  • Regression

  • Classification

  • Clustering

  • Recommender system

  1. Machine Learning Course with R

Along with Python, R is another robust programming language that is used for Machine Learning. R scripts, packages, and functions are quite suitable for building a model.

If you choose to learn Machine Learning with R and Python both, you will have a high demand in the job market - as both the programming languages are famously used.

With Machine Learning Course with R Programming, you will get to learn the concepts of:

  • Data Science & Programming with R
  • Functions & R Data Structure

  • Data Manipulation Techniques Using R Programming

  • Machine Learning: Supervised Learning

  • Machine Learning: Unsupervised Learning

  • Data Import, Data Analysis

  1. Machine Learning Course with TensorFlow

TensorFlow, Google Brain team is an open-source library that does numerical computation and large-scale Machine Learning. TensorFlow has made it easier to acquire the data, train models, serve predictions, and define future results.

With Machine Learning with TensorFlow course online, you will have great learnings on how to build models using flow graphs, and how to build neural networks in TensorFlow. With such courses, you will have an understanding of concepts as:

Tensorflow fundamentals & installation.

  • Tensors, operators, variables, and others.

  • Machine Learning, inference, and its types.

  • Different algorithms such as logistic regression, linear regression, K-means algorithm, clustering, kernels, and others.

  • Advanced learning networks and its implementation - Neural Networks, Convolution Neural Network (CNN), Recurrent Neural Networks (RNN).

  • Deep Neural Networks using Tensorflow.

Here we discussed the 5 Machine Learning crash course options that you can consider learning online with accredited Machine Learning Training and Certification Platforms.

Is a Machine Learning Career worth it?

Machine Learning is so worth it, as payouts and job satisfaction everything is flourishing here. Here are the few insights on Machine Learning that will help you navigate why you need to take up a career with any of the above mentioned Machine Learning Engineer courses.

The need for Machine Learning engineers would not be subjected to just software or hardware industries, it would be evenly required for the technical areas of healthcare, finance, NPO, entertainment, energy industries.

  • "Netflix saved $1 Billion because of its Machine Learning algorithms - which recommends personalized TV shows & movies to Netflix users or subscribers."

  • Same-day shipping from Amazon is available because of Machine Learning techniques.

  • Google, Facebook, Uber are few top-notch giants that use Machine Learning and are hiring for the Machine Learning experts for their diverse units.

  • According to Indeed, the average salary a Machine Learning Engineer can expect to earn is $141,166 per year.

Final Thoughts on 5 Machine Learning Courses Online to Learn this 2020!

With 2.3 million jobs to be created in the Machine Learning & AI ecosystem, there is no denial of the fact that Machine Learning is emerging and will grow leaps in the next few years. Companies are more interested in BI and robotics solutions now - more than ever.

Most of the industries are growing and marching towards Machine Learning solutions to enjoy more powerful Business Intelligence (BI) solutions that can result in endless job options for career enthusiasts.

The discussed 5 Machine Learning crash course options are great to explore and prepare a solid career in. Each of the above courses are worth exploring individually via taking professional training.

To start with the above Machine Learning Engineer courses, consult a specialized Training platform’s free counseling session and demo class to decide where you should branch out from the above options.

About the Author

Anna Abram is a technical writer at JanBask. She loves writing and sharing topics on Web Design Services, Web Development, E-commerce Website Development & Digital Marketing services and latest trends going around in web world.

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Author: Anna Abram

Anna Abram

Member since: Aug 13, 2020
Published articles: 7

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