Plivo
Twilio
Nexmo
MessageBird
Bandwidth
Clockwork SMS
Infobip
Gupshup.io
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Plivo simplifies customer engagement for leading brands like IBM, MercadoLibre, OneLogin and Zomato. Plivoโs suite of AI-driven solutions integrate seamlessly across multiple channels and enable businesses to acquire, service, and grow their global customer base. Founded in 2011, Plivo's offerings encompass programmable messaging and voice calls, OTP verification, loyalty marketing, contact center, and sales engagement.
Plivo Scikit-learnI would recommend this to someone looking for a way to automate outbound calls. You don't need a developer, Plivo does all the heavy lifting for you. I use it for all my marketing needs and it has made my life so much easier. I have used it for a couple of years now, and I am always pleased with the quality of service and support.
Based on our record, Scikit-learn seems to be a lot more popular than Plivo. While we know about 40 links to Scikit-learn, we've tracked only 1 mention of Plivo. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is so nostalgic. I actually met my cofounder on github due to a discussion on twisted vs gevent back in 2011. I had my inital code in twisted and he wrote the gevent piece. Fast forward 12 years and we still use gevent at http://plivo.com :) Some of our initial code snippets: # Twisted. - Source: Hacker News / almost 3 years ago
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 1 month ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / about 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 4 months ago
Twilio - Brings voice and messaging to your web and mobile applications.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Nexmo - Nexmo is a simple two way SMS API with global reach and wholesale rates
NumPy - NumPy is the fundamental package for scientific computing with Python
MessageBird - Reach 7 billion phones in seconds via SMS, Chat & Voice. Try it for free and improve your communication.
OpenCV - OpenCV is the world's biggest computer vision library