A guide for developers and architects especially those who are not specialized in machine learning to design an MLOps architecture for their organization Introduction According to Gartner’s findings, only 53% of machine learning (ML) projects progress from proof of concept (POC) to production. Often there is a misalignment between the strategic objectives of the company…
It's a scene all too common around tax season — the accounting team huddled in a room, heads down, manually entering data from stacks of invoices and receipts into spreadsheets. Wouldn't it be nice if their talent is spent on meaningful work that moves the needle? Unfortunately, it is not just isolated to accounting. A…
In the intricate web of global commerce, the logistics industry is the backbone, connecting manufacturers to consumers across vast distances. However, this interconnectedness comes with its fair share of challenges. From the moment a product is manufactured to its final delivery, an array of documents accompanies its journey, often creating bottlenecks in the seamless flow…
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When you're analyzing data with pandas, you’ll use pandas functions for filtering and transforming the columns, joining data from multiple dataframes, and the like.
But it can often be helpful to generate plots—to visualize the data in the dataframe—rather than just looking at the numbers.
Pandas has…
Natural language processing (NLP) has entered a transformational period with the introduction of Large Language Models (LLMs), like the GPT series, setting new performance standards for various linguistic tasks. Autoregressive pretraining, which teaches models to forecast the most likely tokens in a sequence, is one of the main factors causing this amazing achievement. Because of…
New benchmark for evaluating multimodal systems based on real-world video, audio, and text data From the Turing test to ImageNet, benchmarks have played an instrumental role in shaping artificial intelligence (AI) by helping define research goals and allowing researchers to measure progress towards those goals. Incredible breakthroughs in the past 10 years, such as AlexNet…
The dos and don’ts of processing data in the age of AI 10 min read · 23 hours ago Image by Gilles Lambert on UnsplashThe digital economy has been built on the wonderful promise of equal, fast, and free access to knowledge and information. It has been a long time since then.…
Introduction Lead scoring is an essential methodology in the realm of B2B sales and marketing. At its core, it involves assigning a numerical score to each lead, typically on a scale from 1 to 100, to gauge their likelihood of making a purchase. This process is a strategic approach to understand the potential of…
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In the not-so-distant past, data scientists were tethered to cubicles and confined to physical office spaces. However, times are changing, and the remote work revolution is reshaping the professional landscape.
Today, it is easier than ever to pursue your passion for data science while working from the comfort of…
The problem of generating synchronized motions of objects and humans within a 3D scene has been addressed by researchers from Stanford University and FAIR Meta by introducing CHOIS. The system operates based on sparse object waypoints, an initial state of things and humans, and a textual description. It controls interactions between humans and objects by…