Remove my-en
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The Future of Software using AI and No-code with @vpalepu: TDI 20

Data Science 101

And I wanted to couch my answer in some basic outlook I have about coding: Coding is simultaneously an act of expressing and comprehending human needs. … Just like driving, I am always thinking about what other parts of my life AI will control: Background checks? ” — Vijay (@vpalepu) on Threads Today we have @vpalepu.

Software 110
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Anemones and Simplicity

Darkhorse

Could I have come up with that idea on my own? My first conjecture: great ideas are grokkable, marginal ideas are not. My second conjecture: great ideas need pruning If you reverse your perspective, you’ll find this process comes more naturally. Em, En, Ee. Let’s take an example. It never even crosses our minds.

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Filtering for English Tweets: Unsupervised Language Detection on Twitter

Edwin Chen

In my tests, my language detector would sometimes correctly converge to an English detector, and sometimes it would converge to an English-and-Dutch detector.). I wrote some Ruby code to implement the above algorithm, and trained it on half a million tweets, using English and “not English” as my two languages.

Testing 49
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Conversational AI: Design & Build a Contextual Assistant – Part 1

CDW Research Hub

&& python -m spacy download en. Help me plan my vacation. - Once cloned, run these commands to install the required packages and the spaCy english language model for entity extraction. pip install -r requirements.txt. && At this point we have everything we need to begin developing our travel assistant.

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Hitting the Gym With Neural Networks: Implementing a CNN to Classify Gym Equipment

Insight

For a deeper dive into the mechanics of CNNs, check out my previous post , “Convolutional Neural Networks Explained…with American Ninja Warrior.” This implied that I would need many, many photos of gym equipment with which to train my image classifier. This structure allows the same network (i.e.

Metrics 58
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Disinformation Research with @lucas_a_meyer: TDI 21

Data Science 101

Most of my work is about disinformation and cybersecurity. My data sources are usually news, logs and web documents. It’s petabytes of data, so a lot of my time is spent processing it. I also worked at Amazon in anti-fraud, and closing fraud rings was a big part of my job. My work also helps improve policies (e.g.,

Finance 64
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Building a Career in Tech: TDI 38

Data Science 101

We work cross-functionally with many business stakeholders acting like a maestro in an orchestra (in my mind) – a good pm will understand the lens of the business and customers (users) A little bit about me. My superhero name was Panoply Penople. com What prompted your move away from and back to the US?

B2B 59