Skip to content
Save 5% on your next order with code PREMIUM5!
100,000+ Products for Home, Medical, Office & Classroom Needs
Search
Skip to product information
1 of 1

Artificial intelligence: Beginners to Expert - Paperback

$13.48 USD
$13.48 USD
Sale Sold out
Shipping calculated at checkout.
In stock (100 units), ready to be shipped

Available Offers

Fast delivery available on most orders

Multiple secure payment options accepted

Secure checkout with
  • American Express
  • Apple Pay
  • Diners Club
  • Discover
  • Google Pay
  • Mastercard
  • PayPal
  • Shop Pay
  • Visa

Flight Range: Up to 1,000 meters (3,280 feet)

Maximum Speed: 45 kilometers per hour (28 miles per hour)

For all orders exceeding a value of 100USD shipping is offered for free.

Returns will be accepted for up to 10 days of Customer’s receipt or tracking number on unworn items. You, as a Customer, are obliged to inform us via email before you return the item.

Otherwise, standard shipping charges apply. Check out our delivery Terms & Conditions for more details.

View Product Details
Shopping cart
Product Product subtotal Quantity Price Product subtotal
Artificial intelligence: Beginners to Expert - Paperback
Artificial intelligence: Beginners to Expert - Paperback
Artificial intelligence: Beginners to Expert - Paperback
$13.48/ea
$0.00
$13.48/ea $0.00

Product Description

by Pon Mahesh (Author)

Artificial Intelligence for beginners. Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem-solving "In this book, I'll be covering all the domains and the concepts involved under the umbrella of artificial intelligence, and I will also be showing you a couple of use cases and practical implementations by using Python. So, there's a lot to cover in this session. Following topics are covered: History Of AI Demand For AI What Is Artificial Intelligence? AI Applications Types Of AI Programming Languages For AI Introduction To Machine Learning Need For Machine Learning What Is Machine Learning? Machine Learning Definitions Machine Learning Process Types Of Machine Learning Supervised Learning Unsupervised Learning Reinforcement Learning Supervised vs Unsupervised vs Reinforcement Learning Types Of Problems Solved Using Machine Learning Supervised Learning Algorithms Linear Regression Linear Regression Demo Logistic Regression Decision Tree Random Forest Naive Bayes K Nearest Neighbour (KNN) Support Vector Machine (SVM) Demo (Classification Algorithms) Unsupervised Learning Algorithms K-means Clustering Demo (Unsupervised Learning) Reinforcement Learning Demo (Reinforcement Learning) AI vs Machine Learning vs Deep Learning Limitations Of Machine Learning Introduction To Deep Learning How Deep Learning Works? What Is Deep Learning? Deep Learning Use Case Single Layer Perceptron Multi-Layer Perceptron (ANN) Backpropagation Training A Neural Network Limitations Of Feed Forward Network Recurrent Neural Networks Convolutional Neural Networks Demo (Deep Learning) Natural Language Processing What Is Text Mining? What Is NLP? Applications Of NLP Terminologies In NLP NLP DemoMachine Learning Masters Program

Number of Pages: 256
Dimensions: 0.58 x 9.02 x 5.98 IN
Publication Date: June 01, 2020
you might like