1. Facial Recognition
     i. Example: Facebook automatically tags the people in our group photo

2. Virtual Reality Headsets

3. Speech to text using NLP (Natural Language Processing)
     i. Google Assistant
    ii. Alexa
    iii. Siri
    iv. Cortana, etc.

4. Online advertisements based on User interests

5. Netflix Shows based on popular themes of shows.

Note: Netflix first show aired 'House of Cards' aired more than 5 years after Netflix came into existence and it was a massive hit because netflix had keenly observed user interest.

Data is invaluable. Analyzing patterns in data and maximizing value using Big Data tools is the need of the future. Every day, every human generates 1.7 MB of data on average every second. This amount of data can only be managed by machines but the patterns to analyze them come from human empiricism. Enter: Machine Learning.

Machine learning gives computers the ability to learn without being explicitly programmed.

The idea came from work in artificial intelligence. Machine learning explores the study and construction of algorithms which can learn and make predictions on data. Such algorithms follow programmed instructions, but can also make predictions or decisions based on data. They build a model from sample inputs.

Machine learning is done where designing and programming explicit algorithms cannot be done.

1. Download Anaconda Python for Python 3.7 from this link
2. Install Anaconda by executing the downloaded file.
3. Open Anaconda Prompt and type in conda. If you get an error, Anaconda was not installed properly. Otherwise, proceed to step 4.
4. Open Anaconda Navigator on your system.
5. Open Spyder IDE for Python.
6. Create HelloWorld code and execute it to check successful installation.

1. Go to this link to download and install R Programming language.
2. Download R Studio IDE from this link.

• RStudio automatically configures R programming language already installed on the machine.

3. Open RStudio and enter Hello World code to check successful installation.