Artificial Intelligence with Python

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انطلق إلى عالم التطبيقات الذكية المذهل باستخدام هذا الكتاب (16 فصلاً، يحتوي على جانب عملي مع كل فصل) وادخل عالم الذكاء الاصطناعي واستكشفه وقم بإنشاء تطبيقاتك الخاصة. اعمل من خلال أمثلة بسيطة ولكنها عميقة تجعلك تعمل مع الذكاء الاصطناعي في أي وقت من الأوقات. إذا كنت تبحث عن كتاب مباشر يتيح لك الدخول إلى عالم الـ AI باستخدام لغة الـ Python بسرعة، فهذا الكتاب مناسب لك. هذا كتاب مرجعي يصف كيفية برمجة خوارزميات تعلم الآلة Machine Learning القياسية بأستخدام لغة Python . أصبح الذكاء الاصطناعي أكثر أهمية في العالم الحديث، حيث ان من خلال تسخير قوة الخوارزميات، يمكنك إنشاء تطبيقات تتفاعل بذكاء مع العالم من حولك، وبناء أنظمة التوصية الذكية، وأنظمة التعرف التلقائي على الكلام وأكثر من ذلك. في هذا الكتاب ستكون البدايةً من أساسيات الذكاء الاصطناعي، وبعدها ستنتقل إلى معرفة كيفية تطوير كتل البناء باستخدام تقنيات استخراج البيانات Data Mining. ستتعلم في هذا الكتب كيفية اتخاذ قرارات حول الخوارزميات التي يجب استخدامها وكيفية تطبيقها على سيناريوهات العالم الحقيقي. يغطي هذا الكتاب العملي مجموعة من الموضوعات بما في ذلك التحليلات التنبؤية والتعلم العميق Deep Learning .

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Artificial Intelligence with Python

Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time.
If you are looking for a straight-ahead book that gets you into AI using Python quickly, this book is for you. This is a reference book which describes how to code standard machine learning algorithms in Python.
Artificial Intelligence is becoming increasingly relevant in the modern world. By harnessing the power of algorithms, you can create apps which intelligently interact with the world around you, building intelligent recommender systems, automatic speech recognition systems and more.
Starting with AI basics you’ll move on to learn how to develop building blocks using data mining techniques. Discover how to make informed decisions about which algorithms to use, and how to apply them to real-world scenarios. This practical book covers a range of topics including predictive analytics and deep learning.

Author: Prateek Joshi
Printing Type: High Quality, Colored
Number of Pages: 436 pages
Number of Chapters: 16 chapters

Who This Book Is For
This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks.

What You Will Learn

  • Realize different classification and regression techniques
  • Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system
  • Understand logic programming and how to use it
  • Build automatic speech recognition systems
  • Understand the basics of heuristic search and genetic programming
  • Develop games using Artificial Intelligence
  • Learn how reinforcement learning works
  • Discover how to build intelligent applications centered on images, text, and time series data
  • See how to use deep learning algorithms and build applications based on it In Detail

About the Author
Prateek Joshi is a published author of 8 books (including a #1 best seller), an Artificial Intelligence researcher, and a TEDx speaker. He has been featured on Forbes 30 Under 30, CNBC, TechCrunch, Silicon Valley Business Journal, and many more publications. He is the founder of Pluto AI, a venture-funded Silicon Valley startup building an intelligence platform for water facilities. His work in this field has led to patents, demos, and research papers at major IEEE conferences. He has been an invited speaker at technology and entrepreneurship conferences including TEDx, Global Big Data Conference, Machine Learning Developers Conference, and Sensors Expo.

Book Chapters
Chapter 1: Introduction to Artificial Intelligence
Chapter 2: Classification and Regression Using Supervised Learning
Chapter 3: Predictive Analytics with Ensemble Learning
Chapter 4: Detecting Patterns with Unsupervised Learning
Chapter 5: Building Recommender Systems
Chapter 6: Logic Programming
Chapter 7: Heuristic Search Techniques
Chapter 8: Genetic Algorithms
Chapter 9: Building Games With Artificial Intelligence
Chapter 10: Natural Language Processing
Chapter 11: Probabilistic Reasoning for Sequential Data
Chapter 12: Building A Speech Recognizer
Chapter 13: Object Detection and Tracking
Chapter 14: Artificial Neural Networks
Chapter 15: Reinforcement Learning
Chapter 16: Deep Learning with Convolutional Neural Networks

SKU: B1 Category:
  • Author: Prateek Joshi
  • Printing Type: High Quality, Colored
  • Number of Pages: 436 pages
  • Number of Chapters: 16 chapters

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