Grab the intricacies of Machine Learning Algorithms

By ridhigrg |Email | Jan 22, 2020 | 4980 Views

Machine Learning: Algorithms in the Real World Specialization
Offered By Alberta Machine Intelligence Institute
Machine Learning Real World Applications. Master techniques for implementing a machine learning project

About this Specialization
This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application. 

After completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.

Machine Learning with Python
Offered By IBM
About this Course
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. 
In this course, we will be reviewing two main components:
First, you will be learning about the purpose of Machine Learning and where it applies to the real world. 
Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning,  model evaluation, and Machine Learning algorithms. 

In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!

By just putting in a few hours a week for the next few weeks, this is what youâ??ll get.
1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy 
2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.
3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media.

If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon the successful completion of the course.

Machine Learning Algorithms: Supervised Learning Tip to Tail
Offered By Alberta Machine Intelligence Institute
About this Course
This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbors and support vector machines are optimally used. Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML.

To be successful, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries, and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode).

This is the second course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute.

Source: HOB