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1. Machine Learning

2. What is Machine Learning
• Machine learning is an application of artificial intelligence.
• It provides the ability to systems to automatically learn and improve from experience,
without being explicitly programmed.
• The focus of machine learning is on development of computer programs that can access
data and learn from it themselves.
• The goal is to minimize human interference.

3. Machine Learning Methods
• Supervised algorithms – these algorithms can apply what has been learned in the past, to
new data using labeled examples to predict future events.
• Unsupervised algorithms – these are used when the information used to train the system
is neither labeled nor classified.
• Semi-supervised algorithms - fall somewhere in between supervised and unsupervised
learning, since they use both labeled and unlabeled data for training – typically a small
amount of labeled data and a large amount of unlabeled data.
• Reinforcement algorithm - This method allows machines and software agents to
automatically determine the ideal behavior within a specific context in order to maximize
its performance.

4. Language Priority by Machine Learning Scientist
44
15
11
2
Priority (%)
Python Java R JavaScript

5. Machine Learning Applications
• Retail – Personalised product recommendation, chatbots and robots, mining
customer actions, transactions, etc.
• Travel – Price determination, sentiment analysis
• Healthcare - Drug discovery/manufacturing, personalized treatment/medication
• Finance – Fraud detection, investing advices, anti money laundering, focused
account holder targeting
• Media – personalized news feed, targeted ads, job searches

6. Responsibilities of a Machine Learning Engineer
• Running ML experiments using a programming language with machine learning libraries.
• Deploying machine learning solutions into production (in terms of actual execution and
scheduling.
• Optimizing solutions for performance and scalability.
• Ensuring good data flow between databases and backend systems.
• Implementing custom machine learning code.
• Analyzing data and coming up with use cases.

7. Machine Learning Job Trends
• According to a report from job site Indeed, machine learning engineer is the best job of
2019 due to growing demand and high salaries.
• The career boasts a current average salary of $146,085 with a growth rate of 344 percent
in 2018.
• Indeed set out to find the top 25 jobs for 2019 in their report and nine of them are
comprised of tech roles.
• AI and Machine Learning job postings on Indeed rose 29.10% over the last year between
May 2018 and May 2019.

8. Bibliography
https://www.expertsystem.com/machine-learning-definition/
https://www.expertsystem.com/machine-learning-definition/
https://bit.ly/2HOAeth
Boston Institute of Analytics - https://www.biaclassroom.com/
Artificial Intelligence News - https://bit.ly/2LKPdcB
Forbes, June 2019 - https://bit.ly/2XHmwQ6
DeZyre.com - https://bit.ly/2JAEKh6

9. Special thanks….
+91-8657604703 | www.biaclassroom.com
To Boston Institute of Analytics™ for their knowledge contribution.