Guide particulars

  • Format: pdf
  • File Measurement: 15 MB
  • Print Size: 618 pages
  • Writer: Packt Publishing; 2 version (31 January 2020)
  • Bought by: Amazon Asia-Pacific Holdings Personal Restricted
  • Language: English
  • ASIN: B0842P7KTM

Who this e book is for
The meant viewers for this e book is Python builders who wish to construct real-world Synthetic Intelligence purposes. Primary Python programming expertise and consciousness of machine studying ideas and methods are obligatory.

In regards to the Guide
Re-creation of the bestselling information to synthetic intelligence with Python, up to date to Python 3.x and TensorFlow 2, with seven new chapters that cowl RNNs, AI & Massive Knowledge, basic use circumstances, chatbots, and extra.

Key Options

  • Utterly up to date and revised to Python 3.x, and TensorFlow 2
  • Seven new chapters that embrace AI on the cloud, RNNs and DL fashions, function engineering, the machine studying knowledge pipeline, and extra
  • New creator with 25 years of expertise in synthetic intelligence throughout a number of industries and enterprise domains

Guide Description

Synthetic Intelligence with Python, Second Version is an up to date and expanded model of the bestselling information to synthetic intelligence utilizing the newest model of Python 3.x and TensorFlow 2. Not solely does it present you an introduction to synthetic intelligence, this re-creation goes additional by supplying you with the instruments you might want to discover the superb world of clever apps and create your individual purposes.

This version additionally contains seven new chapters on extra superior ideas of Synthetic Intelligence, together with basic use circumstances of AI; machine studying knowledge pipelines; function choice and have engineering; AI on the cloud; the fundamentals of chatbots; RNNs and DL fashions; and AI and Massive Knowledge.

Lastly, this re-creation explores numerous real-world eventualities and teaches you apply related AI algorithms to a large swath of issues, beginning with essentially the most fundamental AI ideas and progressively constructing from there to unravel harder challenges in order that by the tip, you’ll have gained a strong understanding of, and when greatest to make use of, these many synthetic intelligence methods.

What you’ll study

  • Perceive what synthetic intelligence, machine studying, and knowledge science are
  • Discover the most typical synthetic intelligence use circumstances
  • Learn to construct a machine studying pipeline
  • Assimilate the fundamentals of function choice and have engineering
  • Establish the variations between supervised and unsupervised studying
  • Uncover the latest advances and instruments supplied for AI growth within the cloud
  • Develop computerized speech recognition programs and chatbots
  • Perceive RNNs and numerous DL fashions

Desk of Contents

  1. Introduction to Synthetic Intelligence
  2. Basic Use Instances for Synthetic Intelligence
  3. Machine Studying Pipelines
  4. Function Choice and Function Engineering
  5. Classification and Regression Utilizing Supervised Studying
  6. Predictive Analytics with Ensemble Studying
  7. Detecting Patterns with Unsupervised Studying
  8. Constructing Recommender Techniques
  9. Logic Programming
  10. Heuristic Search Methods
  11. Genetic Algorithms and Genetic Programming
  12. Synthetic Intelligence on the Cloud
  13. Constructing Video games with Synthetic Intelligence
  14. Constructing a Speech Recognizer
  15. Pure Language Processing
  16. Chatbots
  17. Sequential Knowledge and Time Sequence Evaluation
  18. Picture Recognition
  19. Neural Networks
  20. Deep Studying with Convolutional Neural Networks
  21. Recurrent Neural Networks and Different Deep Studying Fashions
  22. Creating Clever Brokers with Reinforcement Studying
  23. Synthetic Intelligence and Massive Knowledge

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