Machine Translation and Multilinguality in August 2022
Machine Translation and Multilinguality in August 2022 | Jindřich’s blog
Read moreDeep Learning, NLP, NMT, AI, ML
Machine Translation and Multilinguality in August 2022 | Jindřich’s blog
Read moreOne of the strengths of Python is that it comes with batteries included: it has a rich and versatile standard library that makes it one of the best programming languages for writing scripts for the command line. But, if you write scripts for the command line, then you also need to provide a good command line interface, which you can create with the Python argparse library. In this video course, you’ll learn: What the Python argparse library is, and why […]
Read moreIn August 2022, Python inched closer to the 3.11 release, pandas introduced enhancement proposals, various packages saw new releases, Python extended its lead at the top of the TIOBE index, and PyPI battled malware. Read on for more details about what happened in the world of Python in August 2022! Python Has PEPs, NumPy Has NEPs, pandas Now Has PDEPs The first pandas enhancement proposal (PDEP) was submitted on August 3, 2022, and was entitled Purpose and guidelines. Enhancement proposals […]
Read moreOne of the problems business leaders face in communicating with their technical counterparts is trying to describe their AI problem. To simplify some of the communication, here are some common AI problem types. Try to map AI opportunities at hand to these common problem types. Note that the problem types often overlap—but that’s ok. The key is to identify problem types that most closely match the task at hand when communicating with your AI and data science experts. Common AI […]
Read moreWhen it comes to software automation, many teams turn to AI as their potential answer. AI in the form of machine learning or NLP may be an excellent solution to a problem. But did you know that the best way to start AI initiatives is to start with no AI at all? This may seem counterintuitive, but there’s a simple reason for it. It’s because you may not be ready for AI as a solution. There could be several missing elements that’ll prevent you from seeing success with AI if pursued prematurely. When it comes to AI, it’s not far-fetched to […]
Read moreWe’ve all heard of sentiment analysis, but what exactly is it and what can it do for your brand, your business, and how can you get started with it? What is Sentiment Analysis? Sentiment analysis relates to analyzing content such as social media comments, customer feedback, employee feedback, and even facial expressions in images to render sentiment orientation. These sentiments can be as broad as just saying that the specific content is from a “detractor” or “promoter,” or it can be […]
Read moretensor([[[0.0702, 0.4700, 0.8626, 0.5981, 0.2569], [0.5060, 0.4742, 0.7492, 0.3597, 0.8754], [0.7581, 0.8954, 0.3205, 0.7038, 0.3167], [0.1799, 0.9890, 0.9624, 0.2595, 0.6935]], [[0.0338, 0.9996, 0.2049, 0.0127, 0.1300], [0.6330, 0.4086, 0.6630, 0.0960, 0.5759], [0.1510, 0.3219, 0.5052, 0.5823, 0.8093], [0.1546, 0.9815, 0.6459, 0.1247, 0.1438]]])
Read moretensor([[[0.5540, 0.2965, 0.7656, 0.0864, 0.4719], [0.1797, 0.8056, 0.5731, 0.3665, 0.7524], [0.7091, 0.5366, 0.6332, 0.8776, 0.0760], [0.1010, 0.5353, 0.9416, 0.2458, 0.8791]], [[0.8621, 0.0030, 0.5289, 0.6757, 0.2340], [0.5413, 0.6108, 0.5478, 0.5954, 0.1434], [0.6445, 0.6780, 0.4488, 0.3309, 0.0727], [0.2652, 0.6528, 0.6589, 0.6072, 0.5976]]])
Read moreIntroduction This tutorial will show you how to create Tensors with random values in PyTorch by using torch.rand() and torch.rand_like() functions. In
Read moreIntroduction In this tutorial, we will teach how to use torch.randn() and torch.randn_like() to create PyTorch tensors with random values. Initializing tensors with random values is quite common in
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