On the other hand, we also have to worry about these systems working too well. These networks were built — or, perhaps m

What they publish: The Verge covers anything and everything related to technology, from new smartphones to the latest scientific innovations, as well as the many ways technology influences politics and our daily lives. They describe themselves as covering “the intersection of technology, science, art, and culture.” They especially welcome freelance pitches related to climate change, TV and movies, space exploration, health tech, culture, transportation, etc.

When was the last time you let your model train for hours and left the place, but your model had crashed halfway when you came back? This is frustrating and a complete waste of time. Since most people do not have the horsepower to train machine learning models locally, cloud services like GCP, Google Colab, AWS, and Azure are preferred where users pay as per their usage. In this case, if the model has crashed in-between training, you are paying for the service without using it. It will help you avoid FOMO if you are notified about your model status.

Pitching process: Writer’s Digest accepts around 50% of the pitches they receive for the website. That means you have a good shot of getting in, especially if you try multiple times. To pitch, send an email with a brief summary of the proposed piece, and include links to some of your previous writing. Complete drafts are also accepted for submission. Send pitches and submissions to [email protected].

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ications are also no stranger to Python’s efficiency. When it comes to working with audio and video files, you’ll find yourself fully equipped with tools and libraries to accomplish your task. Tasks such as basic signal processing, creative audio manipulation, audio recognition, and more can be easily handled by libraries like Pyo, pyAudioAnalysis, Dejavu, and many other libraries like it.

TensorDash is a free to use open-source app that lets you remotely monitor your machine learning models through detailed graphs of all your metrics. It also notifies you when the training has been completed or if the model has crashed. It supports all the major machine learning frameworks like TensorFlow, Pytorch, Keras, and Fastai.

Admittedly, I haven’t yet been accepted into all of these publications. But what’s wonderful about all of them is that they generally respond with feedback, whether it’s an acceptance or a rejection. And, in my experience, they’re also very encouraging about pitching again even if it’s a rejection.

Pitching process: Send all pitches to [email protected]. Pitches should consist of one to two paragraphs which outline the details of the story you’re proposing. Make sure that instead of pitching a general topic, you adopt a focused, unique, and original angle. Indicate who (if anyone) you plan to interview for the piece. Lastly, include in your email examples of your previous writing that pertain to the topic you’re pitching.

What they publish: Since most of this publication’s readers are aspiring authors, they mostly publish content that offers actionable advice related to writing and publishing. They often publish interviews with established or budding authors that provide writing advice and insights into the publishing industry. Their content is relevant to all kinds of writers— freelancers, copy writers, novelists, poets, non-fiction writers, etc.

Pay rate: Articles published on the site will earn you between $50 and $200 depending on the length of the article. For the print magazine, they pay between 30 and 50 cents per word, meaning a 1,000-word article would earn between $300 and $500.

Remote monitoring with Keras and tf.keras works using the callback function. Import Tensordash. Define a TensorDash object using the model name, your account email ID, and password as the parameters. Pass the TensorDash object via callbacks in the fit() function. To get notified if your model crashes, add the fit() function under exception handling, and in the except, call the sendCrash() method.

Pitching process: Email your pitch to the editor of the particular section that you’re pitching to. Make sure to include the full pitch in the body of the email. Refrain from adding attachments to Word documents, etc. Use the pitch as an opportunity to demonstrate what the tone of your piece would be like.

What they publish: The Guardian is a very popular publication (Guardian US alone gets over 25 million monthly unique visitors), so they receive a ton of pitches. However, according to their editors, they still accept a decent proportion of them. The Guardian US seeks freelance pitches related to the following sections: features, opinion, money, business, arts, and sports. Editors at The Guardian US also welcome freelancers to pitch interviews, profiles, human-interest stories, and blog posts.

Import Torchdash from the Tensordash package. Create a Torchdash object with the model name, email ID, and password as the parameters. Use the sendLoss() method of the object inside the training loop to send the model metrics to your account. Pass the loss, accuracy, validation loss, and validation accuracy metrics as parameters(Note that you have to add at least one metric). To get notified if your model crashes, add the training loop under exception handling, and in the except, call the sendCrash() method.

To me, that’s extremely refreshing. Because there’s nothing more frustrating than being met with radio silence after you’ve poured your sweat and tears into crafting a good pitch.

To me, that’s extremely refreshing. Because there’s nothing more frustrating than being met with radio silence after you’ve poured your sweat and tears into crafting a good pitch.