Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

PYTHON POWERED INTELLIGENCE AND ML

View through CrossRef
Python Powered Intelligence And ML is designed to be your essential companion in your journey through the world of Artificial Intelligence and Python programming. We understand the importance of building a solid foundation in AI concepts, as well as mastering the tools and techniques needed to implement AI solutions effectively. What You’ll Find Inside: Foundation of Artificial Intelligence: In Chapter 1, we lay the groundwork for your AI education, providing a strong understanding of the fundamentals. Knowledge Presentation: Chapter 2 delves into how knowledge is represented in AI systems, a crucial element for creating intelligent machines. Informed / Heuristic Search Strategies: Chapter 3 explores strategies for problem-solving and decision-making, crucial in the AI domain. Natural Language Processing: In Chapter 4, we dive into the world of language understanding and processing, a key area of AI. Soft Computing: Chapter 5 introduces the concept of soft computing, which enables AI systems to work with uncertainty and imprecision. Neural Networks: Chapter 6 covers neural networks, a fundamental technology in modern AI, inspired by the human brain. Fuzzy Systems: Chapter 7 is all about fuzzy logic, which allows AI systems to deal with vagueness and uncertainty. History of Genetic Algorithms: Chapter 8 takes you through the fascinating history and principles of genetic algorithms. Regression: In Chapter 9, we explain regression techniques for predictive modeling, a crucial tool in AI. Python Programming: The second part of Python Powered Intelligence And ML focuses on Python, one of the most versatile and popular programming languages. Numpy: Chapter 11 introduces the powerful library for numerical computing in Python. Pandas: In Chapter 12, we explore Pandas, a tool for data manipulation and analysis. Matplotlib: Chapter 13 introduces you to data visualization using Matplotlib. Regression: We revisit regression in Chapter 14, providing more insights and applications. Our aim is to empower you with the knowledge and skills to excel in Artificial Intelligence and Python programming. Whether you are a beginner or an experienced programmer, this book is your go-to resource for AI and Python. We hope you enjoy this journey with us, and may it inspire you to explore the exciting world of Artificial Intelligence and Python programming. Happy learning!
Title: PYTHON POWERED INTELLIGENCE AND ML
Description:
Python Powered Intelligence And ML is designed to be your essential companion in your journey through the world of Artificial Intelligence and Python programming.
We understand the importance of building a solid foundation in AI concepts, as well as mastering the tools and techniques needed to implement AI solutions effectively.
What You’ll Find Inside: Foundation of Artificial Intelligence: In Chapter 1, we lay the groundwork for your AI education, providing a strong understanding of the fundamentals.
Knowledge Presentation: Chapter 2 delves into how knowledge is represented in AI systems, a crucial element for creating intelligent machines.
Informed / Heuristic Search Strategies: Chapter 3 explores strategies for problem-solving and decision-making, crucial in the AI domain.
Natural Language Processing: In Chapter 4, we dive into the world of language understanding and processing, a key area of AI.
Soft Computing: Chapter 5 introduces the concept of soft computing, which enables AI systems to work with uncertainty and imprecision.
Neural Networks: Chapter 6 covers neural networks, a fundamental technology in modern AI, inspired by the human brain.
Fuzzy Systems: Chapter 7 is all about fuzzy logic, which allows AI systems to deal with vagueness and uncertainty.
History of Genetic Algorithms: Chapter 8 takes you through the fascinating history and principles of genetic algorithms.
Regression: In Chapter 9, we explain regression techniques for predictive modeling, a crucial tool in AI.
Python Programming: The second part of Python Powered Intelligence And ML focuses on Python, one of the most versatile and popular programming languages.
Numpy: Chapter 11 introduces the powerful library for numerical computing in Python.
Pandas: In Chapter 12, we explore Pandas, a tool for data manipulation and analysis.
Matplotlib: Chapter 13 introduces you to data visualization using Matplotlib.
Regression: We revisit regression in Chapter 14, providing more insights and applications.
Our aim is to empower you with the knowledge and skills to excel in Artificial Intelligence and Python programming.
Whether you are a beginner or an experienced programmer, this book is your go-to resource for AI and Python.
We hope you enjoy this journey with us, and may it inspire you to explore the exciting world of Artificial Intelligence and Python programming.
Happy learning!.

Related Results

Basic and Advance: Phython Programming
Basic and Advance: Phython Programming
"This book will introduce you to the python programming language. It's aimed at beginning programmers, but even if you have written programs before and just want to add python to y...
Autoprot: Processing, Analysis and Visualization of Proteomics Data in Python
Autoprot: Processing, Analysis and Visualization of Proteomics Data in Python
MotivationThe increasing numbers of complex quantitative mass spectrometry-based proteomics data sets demand a standardised and reliable analysis pipeline. For this purpose, Python...
The impact of PIT tags on the growth and survival of pythons is insignificant in randomised controlled trial
The impact of PIT tags on the growth and survival of pythons is insignificant in randomised controlled trial
Individual identification is fundamental to the study of captive and wild animals but can have adverse impacts if the method of identification is inappropriate for the species or q...
Python and Its Future Scope
Python and Its Future Scope
Python is an advanced programming language designed by Guido van Rossum, Dutch editor. Generally, "python programming language is widely used in web development, Application develo...
An empirical study of fault localization in Python programs
An empirical study of fault localization in Python programs
AbstractDespite its massive popularity as a programming language, especially in novel domains like data science programs, there is comparatively little research about fault localiz...
Intelligence: The Quest for a Universal Assessment Framework
Intelligence: The Quest for a Universal Assessment Framework
Consciousness is a phenomenon which can be extensively discussed as subjective or objective, structural or holistic, hierarchical or modular, but cannot be imagined without intelli...
Value trace problems with assisting references for Python programming self-study
Value trace problems with assisting references for Python programming self-study
Purpose This study aims to present the value trace problem (VTP) for Python programming self-study, by extending the works for Java programming learning assistant system. In total,...
PEMANFAATAN API CLIENT BERBASIS PYTHON UNTUK KONFIGURASI IPS PADA ROUTER MIKROTIK
PEMANFAATAN API CLIENT BERBASIS PYTHON UNTUK KONFIGURASI IPS PADA ROUTER MIKROTIK
Penelitian ini bertujuan untuk bagaimana mengendalikan RouterOS MikroTik sebagai sebuah konfigurasiIPS menggunakanAPI Client berbasis Python. Apakah perintah-perintah jaringan untu...

Back to Top