Machine Learning

Progress continues on our upcoming Machine Learning Mastery course. This course shows you how to process data in real-time from APIs and how to deploy artificial intelligence models into production.As an introduction to the course, I invite you to watch the following video below which goes over the basic roadmap of how to run your own machine learning models in real-time (the … [Read more...] about Roadmap to Using Artificial Intelligence in Production

Gradient Descent IntuitionIt is an algorithm that updates a machine learning model’s parameters to reduce the error (the difference between the actual and predicted values). After forward propagation, we calculate the loss function to know how a model is doing to predict the target values. For example, mean squared error is a popular loss function. Then the gradient descent or … [Read more...] about Gradient Descent Intuition It is an algorithm that updates a machine learning model’s parameters…

How Advanced Cognitive Artificial Intelligence will Add Trillions to Global WealthThis is an excerpt from my latest book the Artificial Superintelligence Handbook III which is the third book in the ASIH Series on Amazon about Artificial General Intelligence, Artificial General Cognition, Cognitive Artificial General Intelligence, AI Development and a peek at the … [Read more...] about A New Hope & The Trillion Dollar Industry

TPUs are over 20x times faster than state-of-art GPUs… But how?TPUs are hardware accelerators specialized in deep learning tasks. In this code lab, you will see how to use them with Keras and Tensorflow 2. Cloud TPUs are available in a base configuration with 8 cores and also in larger configurations called “TPU pods” of up to 2048 cores. The extra hardware can be used to … [Read more...] about What is a Tensor Processing Unit (TPU)? And how does it work?

Manoeuvre TF Lite in Edge DevicesTF Lite models are lightweight models, production-ready and cross-platform framework for deploying ML models that are used to get inferences on edge devices like mobile phones and microcontrollers.ML Engineers who are looking for ways to optimize models for deployment purposes.Let’s take an example of a model which you have created and trained … [Read more...] about Introduction to TF-Lite

Originally published in News18.com, Fe 20, 2021 Did YouTube block a chess channel over violation of community guideline and usage of racist language? Late last year, a YouTuber who produces popular chess videos found that his channel was blocked over charges of ‘harmful and dangerous’ content. Even though the channel was restored within 24 hours, the YouTube did not explain why … [Read more...] about YouTube AI Blocked Chess Channel after Confusing ‘Black’ and ‘White’ for Racist Slurs « Machine Learning Times

Episode 1: Teaching the AI to train itselfThis is the first part of a three part series looking at why retailers struggle to adopt AI technology, what can be done to help them and why it’s important for tech companies to focus on making the processes easier, while directing all their efforts to improving business outputs.Artificial Intelligence (AI) isn’t a new concept: for … [Read more...] about Why Grocery Retailers Struggle so much with Adopting AI Technologies

In machine learning, analyzing data and preparing the data before giving it to the model is of great importance. When I say preparing data, I’m talking about filling empty data, getting rid of outliers, doing future engineering, etc. As data grows and becomes more complex, you will spend more time implementing these processes. But with Pycaret it’s quite the opposite.Pycaret is … [Read more...] about Pycaret, what a great convenience…

Monday, March 01, 2021Qbeast was chosen to participate in the Barcelona Technology Transfer Group (BTTG) program, an initiative of IESE Business School that MBA students introduced in 2016. According to The Economist’s WhichMBA? 2021 Full-Time List, IESE’s MBA program has been ranked as the best MBA program in the world.BTTG’s objective is to create a platform that connects … [Read more...] about Qbeast taking part in IESE’s MBA BTTG program

There are few metrics using which we can evaluate a logistic regression model,1) AIC ( Akaike Information Criteria)2) Confusion matrix3) ROC curve4) Null deviance and residual devianceTo understand this topics will take example of one logistic regression model and its resultsDatasetNow to check and compare those result will change some data’s of this datasetMain AIM of AIC is … [Read more...] about Performance Measurement in Logistic regression