educational software


Learn TensorFlow Slim(TF-Slim) From Scratch Udemy

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Welcome to this course: Learn TensorFlow Slim(TF-Slim) From Scratch. TensorFlow-Slim is a light-weight library for defining, training, and evaluating complex models in TensorFlow. With the TensorFlow-Slim library, we can build, train, and evaluate the model easier by providing lots of high-level layers, variables, and regularizers. At the end of this course, you will be geared up to take on any challenges of implementing TensorFlow-Slim in your machine learning environment.


How We Can Train Artificial Intelligence Algorithms to Make Ethical Decisions Wednesday, @singularityu March 21st 2018 - 12:00 AM (CET)

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When faced with the choice of saving the life of the passenger or the pedestrian passing by, how should an autonomous car be programed to act? In many scenarios, the most logical decision isn't always the most ethical one, which is why objective decision-making alone in algorithms is not enough. As machine learning and advanced artificial intelligence algorithms become more prevalent in our daily lives, it becomes increasingly important to address the inherent biases and ethical blind spots built into these systems. In fact, when we don't, we risk unleashing systems that may have far-reaching and disastrous consequences across many areas of society, from medical diagnoses to judicial decisions. Join Nathana Sharma, as she talks about the importance of designing AI algorithms that are capable of making decisions that are not just rationally correct, but also ethically right.


Learning to Learn Deep Learning E-Learning

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Welcome to this e-learning course developed and produced by Dr Neil Thompson and hosted by Simpliv. Neil is a well-published author in the people professions field, an international conference speaker and sought-after consultant.The overall aim of this course is to help you broaden and deepen your understanding of what is involved in learning, what can prevent it from happening and what you can do to maximize your learning. Learning is part of everyday life and something we are very familiar with. But, that does not mean that we are making the most of the learning opportunities we encounter. Indeed, it is fair to say that, despite the emphasis on the importance of learning, relatively few people achieve optimal learning.


An Introduction into Machine Learning C Libraries

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Being able to perform machine learning in C will make you a very desirable hiring target. Not that you wouldn't be if you used any other language but, the truth is that machine learning in C is a great combination that is likely to give you access to very interesting positions! In this course, we focus on the practical part of machine learning--employing different C libraries. Several popular machine learning libraries currently exist--we'll review them and you'll become familiar with four of them. We use examples of standard machine learning algorithms implemented through the libraries.


Using Deep Learning To Make Decisions Udemy

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Welcome to this course: Using Deep Learning To Make Decisions. Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. Deep learning is synonymous with machine learning, and simply an advanced subset of that larger field. Technically speaking, deep learning is an umbrella term for a set of neural nets that consist of three or more layers; i.e. at least one hidden layer, and the visible layers of input and output. So what is deep learning capable and incapable of?


Step-by-Step Machine Learning with Python Udemy

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Data science and machine learning are some of the top buzzwords in the technical world today. The resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This video is your entry point to machine learning. It starts with an introduction to machine learning and the Python language and shows you how to complete the necessary setup. Moving ahead, you will learn all the important concepts such as exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression, and model performance evaluation.


These are the best free Artificial Intelligence educational

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Deep learning is not a beginner-friendly subject -- even for experienced software engineers and data scientists. If you've been Googling this subject, you may have been confused by the resources you've come across. To find the best resources, we surveyed engineers on their favorite sources for deep learning, and these are what they recommended. These educational resources include online courses, in-person courses, books, and videos. All are completely free and designed by leading professors, researchers, and industry professionals like Geoffrey Hinton, Yoshua Bengio, and Sebastian Thrun.


Machine-learning software predicts behavior of bacteria

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In a first for machine-learning algorithms, a new piece of software developed at Caltech can predict behavior of bacteria by reading the content of a gene. The breakthrough could have significant implications for our understanding of bacterial biochemistry and for the development of new medications. One thrust of modern pharmacology is focused on alleviating ailments by developing drugs that target specific proteins that reside in the membranes of our bodies' cells. These proteins, known as integral membrane proteins (IMP), act as receptors or "gates" that allow materials into and out of cells. Examples of IMPs are G-protein-coupled receptors, which relay information to a cell about its environment, and ion channels, which control the interior environment of a cell by acting as gatekeepers that selectively allow ions to pass in and out of the cell.


Detect Fraud and Predict the Stock Market with TensorFlow

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Learn to use Python Artificial Intelligence for data science. Do you want to learn how to use Artificial Intelligence (AI) for automation? You will learn how to code in Python, calculate linear regression with TensorFlow, analyze credit card fraud and make a stock market prediction app. AI is code that mimics certain tasks. You can use AI to predict trends like the stock market.


Pasadena Now » Caltech-Created Machine-Learning Software Predicts Behavior of Bacteria

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In a first for machine-learning algorithms, a new piece of software developed at Caltech can predict behavior of bacteria by reading the content of a gene. The breakthrough could have significant implications for our understanding of bacterial biochemistry and for the development of new medications. One thrust of modern pharmacology is focused on alleviating ailments by developing drugs that target specific proteins that reside in the membranes of our bodies' cells. These proteins, known as integral membrane proteins (IMP), act as receptors or "gates" that allow materials into and out of cells. Examples of IMPs are G-protein-coupled receptors, which relay information to a cell about its environment, and ion channels, which control the interior environment of a cell by acting as gatekeepers that selectively allow ions to pass in and out of the cell.