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Gartner: AI is moving fast and will be ready for prime time sooner than you think

Veronica Combs Companies have two to three years to lay the groundwork for successful use of generative AI, synthetic data and orchestration platforms. Gartner analysts predict that numerous AI initiatives will move quickly from the first stage of the hype cycle to the final one over the next two to five years." data-credit="Image: Gartner">Gartner analysts predict that numerous AI initiatives will move quickly from the first stage of the hype cycle to the final one...

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Google’s Alphabet pushes smart tech into farming, artificial intelligence

Google’s Alphabet pushes smart tech into farming Farmers could get a helping hand in the form of artificial intelligence (AI) aimed at improving the production of food. Or at least that the plan of X, the experimental tech and R&D division of Google’s parent company Alphabet. It’s head, the excellently named Astro Teller, revealed the Alphabet’s latest AI ambitions at the EMTech Digital even run by MIT Technology Review, where he explained that machine learning could be...

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8 Machine Learning Keywords You Must Know

So you've probably heard about Machine Learning a thousand times from all kinds of posts/articles, but do you have any idea what it really is? Well, in this article I have included the 8 must-know key terms most directly related to Machine Learning. Nothing fancy and complicated so hopefully anyone that's interested in Machine Learning can take away a few useful points from reading this post.    The 8 terms covered in the article are: Natural language...

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Epoch Definition | DeepAI

What is an Epoch? In terms of artificial neural networks, an epoch refers to one cycle through the full training dataset. Usually, training a neural network takes more than a few epochs. In other words, if we feed a neural network the training data for more than one epoch in different patterns, we hope for a better generalization when given a new "unseen" input (test data). An epoch is often mixed up with an iteration....

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Top 10 Machine Learning Algorithms for Beginners

In machine learning, there’s something called the “No Free Lunch” theorem. In a nutshell, it states that no one machine learning algorithm works best for every problem, and it’s especially relevant for supervised learning (i.e. predictive modeling).For example, you can’t say that neural networks are always better than decision trees or vice-versa. There are many factors at play, such as the size and structure of your dataset.As a result, you should try many different algorithms...

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What is it and how is it used?

One of the latest trends in the world of technology and engineering is ‘machine learning’. In fact, all of the big technology companies today have invested in artificial intelligence and machine learning projects. The term ‘machine learning’ was first defined by Arthur Samuel, way back in 1959. He defined it as “the ability to learn without being explicitly programmed”, which basically means that a machine could learn from its own mistakes and reprogram itself to...

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