Forecastio AI
Aviso
Scratchpad
Growblocks
Rattle
Clari
R Caret
Avoma
TensorFlow
PyTorch
Keras
Scikit-learn
IBM Watson Studio
H2O.ai
OpenCV
Azure Machine Learning Studio
Forecastio was created with a clear mission: to help sales and revenue leaders hit their numbers by increasing sales performance. Sales and revenue leaders face many challenges on the way to consistently achieving sales goals. These obstacles include limited visibility into their sales pipeline health, inability to forecast future sales with high accuracy and allocate resources accordingly, lack of real-time insights for swift, informed decision-making.
Forecastio is aimed at helping sales leaders attain or even surpass their sales quotas by: - Leveraging advanced sales planning to set reasonable quotas based on historical and current team performance; - Properly managing sales capacity; - Having access to accurate sales forecasts built using AI and comprehensive forecasting models; - Receiving real-time sales insights that not only highlight problems but also recommend actions to improve performance.
Forget about heavy solutions with long implementations. Connect your HubSpot to Forecastio with one click and start improving your sales performance right away.
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Based on our record, TensorFlow should be more popular than Forecastio AI. It has been mentiond 7 times since March 2021. 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.
Hey, I run marketing for https://forecastio.ai/. We're a sales tech startup. Organic traffic grows too slowly. I need to strengthen our inbound ASAP. Do you have any advice/feedback on what works now for fast-growth SEO? - Source: Hacker News / 8 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / about 2 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 3 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
Aviso - Aviso provides predictive analytics software to help sales organizations optimize their performance and exceed revenue goals using machine learning algorithms and portfolio management techniques.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Scratchpad - The fastest experience to update Salesforce
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Growblocks - One connected RevOps platform giving you insight from traffic to churn.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
