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8 ways to jump-start your machine learning

From exploratory data analysis to automated machine learning, look to these techniques to get your data science project moving — and to build better models.

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What we just learned about data science — and what’s next

The past 12 months have revealed how valuable data science can be while also exposing its limitations. Expect big advances in the year to come.

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Battling bias and other toxicities in natural language generation

Despite numerous and concerted efforts to train NLG systems to generate content without offensive elements, success is still elusive.

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Review: AWS AI and Machine Learning stacks up, and up

Amazon Web Services provides an impressively broad and deep set of machine learning and AI services, rivaling Google Cloud and Microsoft Azure.

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Review: Microsoft Azure AI and Machine Learning aims for the enterprise

Microsoft Azure combines a wide range of cognitive services and a solid platform for machine learning that supports automated ML, no-code/low-code ML, and Python-based notebooks.

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Review: DataRobot aces automated machine learning

DataRobot’s end-to-end AutoML suite not only speeds up the creation of accurate models, but can combine time series, images, geographic information, tabular data, and text in a single model.

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Why enterprises are turning from TensorFlow to PyTorch

The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow framework.

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Apple releases TensorFlow fork with speedups for M1 Macs

Apple says the M1-compiled version of TensorFlow delivers several times faster performance on a number of benchmarks, while running existing TensorFlow scripts as-is

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Today’s data science roles won’t exist in 10 years

AutoML is poised to turn developers into data scientists — and vice versa. Here’s how AutoML will radically change data science for the better.

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Review: Google Cloud AI lights up machine learning

Google Cloud AI and Machine Learning Platform is missing some pieces, and much is still in beta, but its scope and quality are second to none.

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Nvidia pushes into a wider application ecosystem

The BlueField DPU architecture and DOCA SDK provide a strategic platform for expanding the company's reach.

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14 open source tools to make the most of machine learning

Tap the predictive power of machine learning with these diverse, easy-to-implement libraries and frameworks

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10 MLops platforms to manage the machine learning lifecycle

Machine learning lifecycle management systems rank and track your experiments over time, and sometimes integrate with deployment and monitoring

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What are deepfakes? AI that deceives

Deepfakes extend the idea of video compositing with deep learning to make someone appear to say or do something they didn’t really say or do

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What is face recognition? AI for Big Brother

Facial recognition is becoming more accurate, but some systems exhibit racial bias and some uses of the technology are controversial

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How to use TensorFlow in your browser

Take advantage of TensorFlow.js to develop and train machine learning models in JavaScript and deploy them in a browser or on Node.js

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What is computer vision? AI for images and video

Computer vision systems are not only good enough to be useful, but in some cases more accurate than human vision

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AI and machine learning: Powering the next-gen enterprise

IT leaders are already starting to reap the rewards promised by AI and machine learning -- and a recent survey reveals half are considering greater investment as we hit economic headwinds.

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