Learning
Artificial Intelligence
Alvian
Octo R
Machine
learning is a subset of artificial intelligence that involves building
algorithms and models that can learn and make predictions or decisions without
explicit programming. It involves training these models on large datasets, and
the models can then be used to make predictions or decisions on new, unseen
data.
Artificial
intelligence, on the other hand, is a broader field that encompasses machine
learning, as well as other techniques such as natural language processing,
computer vision, and robotics, among others. The goal of AI is to create
intelligent machines that can perform tasks that would normally require human
intelligence, such as understanding natural language or recognizing objects in
images.
To learn more about
machine learning and artificial intelligence, here are some recommended books:
1.
"Machine Learning Yearning" by
Andrew Ng - This book provides practical advice and tips on how to build and
deploy machine learning systems, as well as strategies for approaching
real-world problems.
2.
"Artificial Intelligence: A Modern
Approach" by Stuart Russell and Peter Norvig - This is a comprehensive
textbook on AI that covers a wide range of topics, from natural language
processing to robotics and intelligent agents.
3.
"Deep Learning" by Ian
Goodfellow, Yoshua Bengio, and Aaron Courville - This book provides a detailed
introduction to deep learning, which is a subset of machine learning that
involves building neural networks with many layers.
4.
"Hands-On Machine Learning with
Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron - This book
provides a hands-on, practical approach to machine learning using popular
Python libraries such as Scikit-Learn, Keras, and TensorFlow.
5.
"The Hundred-Page Machine Learning
Book" by Andriy Burkov - This book provides a concise introduction to
machine learning and covers the key concepts and algorithms in the field.
There are also many
online resources available for learning about machine learning and AI, such as
online courses, tutorials, and videos. Some popular platforms for learning
include Coursera, Udacity, and edX.
