MLearning.ai
Published in

MLearning.ai

Photo by on

Difference between machine learning, deep learning, data science and artificial intelligence (AI)

Imagine a self-driving car picking up passengers in a busy street where they are able to move from one place to the other. Or a machine learning model able to predict the chances for a person to have cancer with minimal aid from a doctor. Or chatbots able to communicate with the customers about online purchases. Or models…

--

--

--

Data Scientists must think like an artist when finding a solution when creating a piece of code. ⚪️ Artists enjoy working on interesting problems, even if there is no obvious answer ⚪️ linktr.ee/mlearning 🔵 Follow to join our 18K+ Unique DAILY Readers 🟠

Recommended from Medium

Image classification on Soybean dataset with CNN

NeuroNuggets: An Overview of Deep Learning Frameworks

Grading GPT-3 For STEM Lesson Plan Content Generation

Data Augmentation for Text Data:Obtain more data faster

How We Model Language as Tensors with Chris Mattmann & Dr. Scott Penberthy

Review of Deep Learning Techniques in NLP (Natural Language Processing)

Journey from Data to Meaning — Natural Language Processing (NLP)

Learning Day 4: Pytorch Datatype and MNIST

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Suhas Maddali

Suhas Maddali

Data Scientist Intern @ NVIDIA. I'm writing articles to share my knowledge to the community so that it would be helpful.

More from Medium

What are the activation functions in Machine Learning?

Traditional Programming VS Machine Learning Programming

What is Machine Learning?

Top 5 Machine Learning Algorithms for Beginners to start with: Supervised and Unsupervised Learning