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)

“ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (new book on Amazon Audible & Kindle)

Friends, the new “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle) book is the latest entry to the “Transformative Innovation” series. AI in all of its manifestations represents a bona fide “generational change” of human society as we know it. AI, like many of the historic innovations of the past, has the unsurpassed potential to impact the human race for both good and evil.  All humanity has a vested interest in ensuring the impact of AI is positive. The alternative is unfathomable: A dystopian environment leading to the destruction of mankind in a Noahic antediluvian episode of human culture by the hands of man himself or the divine, omnipotent hand of our sovereign Creator.

This book has a “5 Star” rating on Amazon. Reader comment “If you're curious about how AI works, how it's changing the world, and what might happen next, this book is great. It's a bit like a guide that helps you understand this complex topic. It's a journey that could open your mind to new ideas and change how you see the world.”

Table of Contents:

I - Introduction

II - The Birth of Artificial Intelligence (AI)

III - AI Research and Development

IV - The AI Quantum Multiplier

V - Technological Synergy

VI - The Ethics of Artificial Intelligence

VII - The Global Race for AI Supremacy

VIII - Understanding Artificial General Intelligence (AGI)

IX - Approaches to AGI Development

X - The Era of Artificial Superintelligence (ASI)

XI - Ensuring Safety in AGI and ASI

XII  - AGI and ASI Impact on Society and the Economy

XIII - AI Singularity (“Technological Singularity”)

XIV - Looking Beyond the Singularity

XV - Conclusions

Our journey will examine the birth of AI, the pending transition to Artificial General Intelligence, the era of Artificial Super Intelligence and thoughts on the possibility of AI (or “Technological”) Singularity. Although some of these topics have verifiable, concrete answers, overall, the pendulum rapidly swings from the domain of the known to the domain of the unknown and speculative in the concluding chapters. Our commitment is to amplify the known (factual) elements of Artificial Intelligence and only when necessary delve into the realm of the unknown (subjective) aspects of AI Singularity … and beyond.

Join us for a journey that will transform your thinking and possibly your life!

Order today:

Audible (https://tinyurl.com/3pswj5sx) 

Kindle (https://www.amazon.com/dp/B0CG536WDN)   

3 Book Series: “Transformative Innovation”

Thank you for dropping a brief review on this book’s Audible or Kindle page.

Regards, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9

Machine Learning with Mahout Certification Training

Colleagues, the “Machine Learning with Mahout Certification Training” program will accelerate your career and earnings potential. Skill-based training modules include: 1) Introduction to Machine Learning and Apache Mahout - gain insights into what 'Machine Learning' is and How Apache Mahout algorithms are used in building intelligent applications, 2) Mahout and Hadoop - learn how to set up Mahout on Apache Hadoop. You will also get an understanding of Myrrix Machine Learning Platform, 3) Recommendation Engine - gain an understanding of the recommendation system in Mahout and different filtering methods, 4) Implementing a Recommender and Recommendation Platform - learn about the Recommendation platforms and implement a Recommender using MapReduce, 5) Clustering - Algorithms, K-means, Canopy Clustering, Fuzzy K-means and Mean Shift etc., Representing Data, Feature Selection, Vectorization, Representing Vectors, Clustering documents through example, TF-IDF, Implementing clustering in Hadoop, Classification, 6) Classification - obtain an understanding of Classifier and the common Classifier Algorithms, Predictor variables and Target variables, Common Algorithms, SGD, SVM, Naive Bayes, Random Forests, Training and evaluating a Classifier, Developing a Classifier, 7) Mahout and Amazon EMR - how Mahout can be used on Amazon EMR Hadoop distribution, Mahout Vs R, Introduction to tools like Weka, Octave, Matlab, SAS, and 8) Hands-On Project - develop an intelligent application using Mahout on Hadoop built on application logs and transactions.

Enroll today (teams & executives are welcome): https://tinyurl.com/yeh3y4uw 

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)

IBM: SQL for Data Science with R

Colleagues, the “IBM: SQL for Data Science with R” program will enable you to build a baseline understanding about relational database concepts and learn how to apply foundational knowledge of the SQL and R languages through a series of hands-on labs to practice building and running SQL queries. The emphasis in this course is on hands-on and practical learning, which means you will work with real databases, real data science tools, and real-world datasets. You will also create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. And you will learn how to access databases from Jupyter notebooks using SQL and R. No prior knowledge of databases, SQL, R, or programming is required. Learn to create and access a database instance on cloud, write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE, filter, sort, group results, use built-in functions, compose nested queries, access multiple tables, and access databases from Jupyter using R and SQL to query real-world datasets.

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

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)

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)