Learn Machine Learning with Free Lessons & Tips

Type of Machine Learning Machine Learning Deep Learning Underlying Technique Statistical Methods & Math Models Artificial Neural Networks Data Requirements Smaller Datasets Large Datasets Human Intervention More Human Feature Engineering Automatic Feature Extraction (often) Applications Spam Filtering, Stock Prediction Image Recognition, Natural Language Processing

AI includes everything from smart assistants like Alexa to robotic vacuum cleaners and self-driving cars. Machine learning (ML) is one among many other branches of AI. ML is the science of developing algorithms and statistical models that computer systems use to perform complex tasks without explicit instructions.

My recommendations for some good books on machine learning are

1.Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Geron Aurelien, 2017

2. Programming Collective Intelligence
2007

3.Pattern Recognition and Machine Learning
Christopher Bishop, 2006

4.The Hundred-page Machine Learning Book
Andriy Burkov, 2019

5.Machine Learning for Absolute Beginners: A Plain English Introduction
Oliver Theobald, 2017

6.Deep Learning
Yoshua Bengio, 2015

7.Machine Learning for Hackers
John Myles White, 2012

8.Deep Learning with Python
François Chollet, 2017

9.Introduction to Machine Learning with Python: A Guide for Data Scientists
Sarah Guide, 2016

Machine learning is a buzzword for today's technology, and it is growing very rapidly day by day. We are using machine learning in our daily life even without knowing it such as Google Maps, Google assistant, Alexa, etc. Below are some most trending real-world applications of Machine Learning:1. Image Recognition2. Speech Recognition3. Traffic prediction4. Product recommendations5. Self-driving cars6. Email Spam and Malware Filtering7. Virtual Personal Assistant8. Online Fraud Detection9. Stock Market trading10. Medical Diagnosis

Machine learning will have a transformative impact on the future of various fields including automation, healthcare, natural language processing, transportation, personalized experiences, cybersecurity, and science. ML will enable automation and will improve healthcare through personalized treatments and diagnoses.