Books - Projects
“Reading is essential for those who seek to rise above the ordinary.” — Jim Rohn
Book recomendations
Reading books is one of the most important things which I should do this year to enhance my learning. I should say this, if you are a book lover then books are one of the best sources to enhance your learning. I can choose to read freely-available e-books or purchase the hardcopy, anything can work. There are a lot of books one can purchase and start reading but some good books which I would suggest reading are:
- Python for Data Analysis - Wes McKinney
- An Introduction to Statistical Learning - Gareth James
- Superintelligence - Nick Bostrom
- Make your own Neuronal Network - Tariq Rashid
- Artificial Intelligence for dummies - Jhon Paul Mueller
- SuperIntelligence - Nick Bostrom
- Click in BOOKS for more suggestions.
Artificial Intelligence Projects Ideas for Beginners
- Resume Parser
- Fake News Detector
- Translator App
- Instagram Spam Detection
You can build a resume parser with the help of artificial intelligence and machine learning techniques that can skim through a candidate’s application and identify skilled candidates, filtering out people who fill their resume with unnecessary keywords.
You can use a pre-trained machine learning model called BERT to perform this classification. BERT is a Natural Language Processing (NLP) model that has been made open-source. You can load BERT into Python and just add one additional output layer for your text classification task.
You can build your own AI translator app with a transformer. To do this, you can load a pre-trained transformer model into Python. Then, transform the text you want to translate into tokens and feed it into the pre-trained model.
You can build a spam detection model using AI techniques to identify the difference between spam and legitimate comments.