Artificial Intelligence Through Algorithmic Information Theory

Colleagues, with the “Artificial Intelligence Through Algorithmic Information Theory” you will be able to see machine learning, reasoning, mathematics, and even human intelligence as abstract computations aiming at compressing information. This new power of yours will not only help you understand what AI does (or can’t do!) but also serve as a guide to design AI systems. Associated skills: Computer Science, Probability Theories, Aesthetics, Turing Machine, Artificial Neural Networks, Artificial Intelligence, Information Theory, Basic Math, Cognitive Science, Innovation, Planning, Probability, Machine Learning. Learn to measure information through compression, compare algorithmic information with Shannon’s information, detect languages through joint compression, use the Web to compute meaning similarity, how probability and randomness can be defined in purely algorithmic terms and how algorithmic information sets limits to the power of AI (Gödel’s theorem), a criterion to make optimal hypotheses in learning tasks, a method to solve analogies and detect anomalies, a new understanding of machine learning as a way to achieve compression, Why unexpected means abnormally simple, Why coincidences are unexpected, and Why subjective information and interest are due to complexity drop and why relevance, aesthetics, emotional intensity and humor rely on coding. Skill-based training modules include: 1) Describing data - Complexity as code length, Conditional Complexity, 2) Measuring Information - Complexity and frequency, Meaning distance, 3) Algorithmic information & mathematics - Algorithmic probability, Randomness, Gödel’s theorem, 4) Machine Learning and Algorithmic Information - Universal induction: MDL, Analogy & Machine Learning as complexity minimization, and 5) Subjective information - Simplicity & coincidences, Subjective probability and Relevance.

Enroll today (teams & executives are welcome): https://fxo.co/HFFb 

Download your free AI-ML-DL - Career Transformation Guide.

“Transformative Innovation” book series for your listening-reading pleasure: 

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Machine Learning with Python: From Linear Models to Deep Learning (training)

Colleagues, this new training program “Machine Learning with Python: From Linear Models to Deep Learning” focuses on the principles behind machine learning problems such as classification, regression, clustering, and reinforcement learning, implementing and analyzing models such as linear models, kernel machines, neural networks, and graphical models, choosing suitable models for different applications, and implementing and organizing machine learning projects, from training, validation, parameter tuning, to feature engineering. Lectures include: 1) Linear classifiers, separability, perceptron algorithm, 2) Maximum margin hyperplane, loss, regularization, 3) Stochastic gradient descent, over-fitting, generalization, 5) Linear regression, 6) Recommender problems, collaborative filtering, 7) Non-linear classification, kernels, 8) Learning features and  Neural networks, 9) Deep learning, back propagation, 10) Recurrent neural networks, 11) Generalization, complexity, VC-dimension, 12) Unsupervised learning and clustering, 13) Generative models, mixtures, 14) Mixtures and the EM algorithm, 15) Learning to control: Reinforcement learning, 16) Reinforcement learning continued, and 17) Natural Language Processing applications. Projects cover: Automatic Review Analyzer, Digit Recognition with Neural Networks, and Reinforcement Learning. 

Enroll today (teams & executives are welcome): https://fxo.co/HO1v 

Download your free AI-ML-DL - Career Transformation Guide.

“Transformative Innovation” book series for your listening-reading pleasure: 

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Certified ChatGPT Expert (Blockchain Council)

Colleagues, the new “Certified ChatGPT Expert” from the Blockchain Council will equip you to advance your career in Artificial Intelligence (AI) with our interactive Certified ChatGPT Expert Certification program. ChatGPT, pioneered by OpenAI, is more than a language processing tool – it’s an industry-disrupting AI technology reshaping our global interactions. Your journey to becoming a Certified ChatGPT Expert begins in our interactive, online training certification today. Skill-based training modules include: 1) Introduction to ChatGPT and AI - What is ChatGPT?, The history of ChatGPT, Applications of ChatGPT, ChatGPT vs other chatbot platforms, Industries using ChatGPT, The benefits and limitations of ChatGPT, Future developments in ChatGPT technology, Ethical considerations related to ChatGPT and AI, 2) AI and Machine Learning Concepts - Types of AI, What is Machine Learning?, Neural Networks, Deep Learning, Natural Language Processing (NLP), Computer Vision, Robotics and AI, 3) Types of AI - Narrow AI, Strong AI, Superintelligence, 4) ChatGPT Functionalities and Working - How does ChatGPT work?, ChatGPT 3 vs ChatGPT 4, ChatGPT Functionalities, Drafting emails and professional communication, Automating content creation, Research and information gathering, Brainstorming ideas and creative problem solving, Best Practices for Using ChatGPT, 5) ChatGPT Prompt Engineering - What is Prompt Engineering?, Types of Prompts, Crafting Effective Prompts, Using ChatGPT to generate prompt, Evaluating Prompt Effectiveness, and 6) ChatGPT Job Opportunities - ChatGPT Job Opportunities, Job Search Strategies and Resources, Resume and Interview Preparation, ChatGPT: Freelance and Entrepreneurial Opportunities, and Challenges and Opportunities in the Field of ChatGPT. Followed by the certification session, an exam will be conducted for a total of 100 marks.

Enroll today (teams & executives are welcome): https://fxo.co/HO1s 

Download your free AI-ML-DL - Career Transformation Guide.

“Transformative Innovation” book series for your listening-reading pleasure: 

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Quantum Machine Learning (training)

Colleagues, the “Quantum Machine Learning” program Quantum computers are becoming available, which begs the question: what are we going to use them for? Machine learning is a good candidate. In this course we will introduce several quantum machine learning algorithms and implement them in Python. By the end of this course, students will be able to: Distinguish between quantum computing paradigms relevant for machine learning, Assess expectations for quantum devices on various time scales, Identify opportunities in machine learning for using quantum resources, and Implement learning algorithms on quantum computers in Python.

Enroll today (teams & executives are welcome): https://fxo.co/HO1z 

Download your free AI-ML-DL - Career Transformation Guide.

“Transformative Innovation” book series for your listening-reading pleasure: 

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Probability and Statistics in Data Science using Python

DS Colleagues, the “Probability and Statistics in Data Science using Python” program will enable you to use Python, learn statistical and probabilistic approaches to understand and gain insights from data. The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning. In this course, part of the Data Science MicroMasters program, you will learn the foundations of probability and statistics. You will learn both the mathematical theory, and obtain hands-on experience of applying this theory to actual data using Jupyter notebooks. Concepts covered included: random variables, dependence, correlation, regression, PCA, entropy and MDL.

Enroll today (teams & execs are welcome): https://fxo.co/HO20 

Download your free Data Science - Career Transformation Guide.

Here is the “Data-Driven Organizations” book series:  

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Google AI for JavaScript developers with TensorFlow.js

Colleagues, get productive with the “Google AI for JavaScript developers with TensorFlow.js” training program. From pre-made off the shelf models to writing or training your own, learn how to create next gen web apps. This course offers a solution and the knowledge to be the "missing manual" for JavaScript users without a background in Machine Learning. Machine Learning (ML) on the web is growing faster than ever so now is the time to take your first steps too. Learn what the difference is between Artificial Intelligence, Machine Learning, and Deep Learning but also how to use such techniques practically through real examples using TensorFlow.js - Google's leading ML library for JavaScript. Supercharge your next web app with superpowers - from classifying text in a blog post comment to automatically block spam, to using sensors like a webcam on your mobile device to alert you when your dog is on the couch after you left the house. A basic, working knowledge of web technologies such as HTML, CSS, and JavaScript is highly recommended. Learn Common terms and what they mean, how Machine Learning works (without formal mathematical definitions), the TensorFlow.js library, advantages of using ML in JavaScript, ways to consume or create Machine Learning models, how to use pre-made “off the shelf” models, what Tensors are in Machine Learning, how to use Tensors with ML models and to write a simple custom model, perceptrons (artificial neuron) and how they work, linear regression to predict numbers using single neuron, multi layered perceptrons for handling more complex data, using models that use Convolutional Neural Networks for images and converting Python models to JavaScript, transfer learning - reusing existing trained models with your own data. Skill-based training modules include: 1)  Introduction to ML & TensorFlow.js, 2) Using Pre-Made models, 3) Writing custom models, 4) Transfer Learning, 5) Reusing models from Python, and 6) How to join the TensorFlow.js community.

Enroll today (teams & executives are welcome): https://fxo.co/HO24 

Download your free AI-ML-DL - Career Transformation Guide.

“Transformative Innovation” book series for your listening-reading pleasure: 

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)