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A Roadmap to Becoming an AI Engineer, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions t…

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Artificial-Intelligence-Engineer-Roadmap

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Developer: Engr Saad
Email: [email protected]
Website: https://engr-saad.com
LinkedIn: https://www.linkedin.com/in/engr-saad/
Facebook: https://www.facebook.com/Engr.Saad.2/
Company WEB: https://triangletech.com.bd/
WhatsApp: +8801810536303

Open Source Love PRs Welcome License GPLv3 license

Overview

This is resources for going from software engineer/non-software engineer to profressional in AI engineer

About Me

I'm a Software Engineer who is really passionate to become entrepreneur, investor, and AI engineer. Was found Humaan.ai to bringing the AI to everyone to do incredible ways. Currently, I'm working as a senior software engineer in HBCL.

Awesome Artificial Intelligence (AI) Awesome

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Contributions most welcome.

Contents

  1. Courses
  2. Books
  3. Programming
  4. Philosophy
  5. Free Content
  6. Code
  7. Videos
  8. Learning
  9. Organizations
  10. Journals
  11. Competitions
  12. Newsletters
  13. Misc

Courses

Books

  • Machine Learning for Mortals (Mere and Otherwise) - Early access book that provides basics of machine learning and using R programming language.
  • How Machine Learning Works - Mostafa Samir. Early access book that introduces machine learning from both practical and theoretical aspects in a non-threating way.
  • MachineLearningWithTensorFlow2ed - a book on general purpose machine learning techniques regression, classification, unsupervised clustering, reinforcement learning, auto encoders, convolutional neural networks, RNNs, LSTMs, using TensorFlow 1.14.1.
  • Serverless Machine Learning - a book for machine learning engineers on how to train and deploy machine learning systems on public clouds like AWS, Azure, and GCP, using a code-oriented approach.
  • The Hundred-Page Machine Learning Book - all you need to know about Machine Learning in a hundred pages, supervised and unsupervised learning, SVM, neural networks, ensemble methods, gradient descent, cluster analysis and dimensionality reduction, autoencoders and transfer learning, feature engineering and hyperparameter tuning.
  • Trust in Machine Learning - a book for experienced data scientists and machine learning engineers on how to make your AI a trustworthy partner. Build machine learning systems that are explainable, robust, transparent, and optimized for fairness.

Programming

Philosophy

  • Super Intelligence - Superintelligence asks the questions: What happens when machines surpass humans in general intelligence. A really great book.
  • Our Final Invention: Artificial Intelligence And The End Of The Human Era - Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to?
  • How to Create a Mind: The Secret of Human Thought Revealed - Ray Kurzweil, director of engineering at Google, explored the process of reverse-engineering the brain to understand precisely how it works, then applies that knowledge to create vastly intelligent machines.
  • Minds, Brains, And Programs - The 1980 paper by philospher John Searle that contains the famous 'Chinese Room' thought experiment. Probably the most famous attack on the notion of a Strong AI possessing a 'mind' or a 'consciousness', and interesting reading for those interested in the intersection of AI and philosophy of mind.
  • Gödel, Escher, Bach: An Eternal Golden Braid - Written by Douglas Hofstadter and taglined "a metaphorical fugue on minds and machines in the spirit of Lewis Carroll", this wonderful journey into the the fundamental concepts of mathematics,symmetry and intelligence won a Pulitzer Price for Non-Fiction in 1979. A major theme throughout is the emergence of meaning from seemingly 'meaningless' elements, like 1's and 0's, arranged in special patterns.
  • Life 3.0: Being Human in the Age of Artificial Intelligence - Max Tegmark, professor of Physics at MIT, discusses how Artificial Intelligence may affect crime, war, justice, jobs, society and our very sense of being human both in the near and far future.

Free Content

Code

  • ExplainX- ExplainX is a fast, light-weight, and scalable explainable AI framework for data scientists to explain any black-box model to business stakeholders.
  • AIMACode - Source code for "Artificial Intelligence: A Modern Approach" in Common Lisp, Java, Python. More to come.
  • FANN - Fast Artificial Neural Network Library, native for C
  • FARGonautica - Source code of Douglas Hosftadter's Fluid Concepts and Creative Analogies Ph.D. projects.

Videos

Learning

Organizations

Journals

Competitions

Newsletters

  • AI Digest. A weekly newsletter to keep up to date with AI, machine learning, and data science. Archive.

Misc

About

A Roadmap to Becoming an AI Engineer, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions t…

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