Author Archives: 365Data Science

Transfer learning — Working Code How a Pre-Trained CNN Network could be used as a Feature Extractor Objective : Learn to use Pre-Trained network to classify entirely different sets of data Fig 1.1 TRANSFER LEARNING INVOLVES UTILIZING A MODEL TRAINED ON ONE PARTICULAR DATA-SET AND THEN APPLYING IT TO ANOTHER The ability to use a pre-trained model as a “shortcut” toContinue reading “Transfer Learning | Treating networks as arbitrary feature extractors | Computer Vision | CNN |”

With the rich and dynamic ecosystem of Python continuing to be a leading programming language for data science and machine learning, establishing and maintaining a cost-effective development environment is crucial to your business impact. So, do you rent or buy? This overview consideres the hidden and obvious factors involved in selecting and implementing your PythonContinue reading “Setting Up Your Data Science & Machine Learning Capability in Python”

Check out these best practices for Spark that the author wishes they knew before starting their project. Originally from KDnuggets https://ift.tt/3fpB140 source https://365datascience.weebly.com/the-best-data-science-blog-2020/5-apache-spark-best-practices-for-data-science

PyCaret 2.0 has been released! Find out about all of the updates and see examples of how to use them right here. Originally from KDnuggets https://ift.tt/2DeTzH1 source https://365datascience.weebly.com/the-best-data-science-blog-2020/announcing-pycaret-20

By Blake Elias and Shawn Jain Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/swap-softmax-weighted-average-pooling-70977a69791b?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/swap-softmax-weighted-average-pooling

Image Fundamentals with python code Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/image-basics-lesson-1-of-computer-vision-tutorial-3d3ee995bf92?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/image-basicslesson-1-of-computer-vision-tutorial

Tutorial to train a deep learning model for 3-D bounding box detection on point clouds. We use AWS SageMaker in this article. Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/train-a-3-d-object-detection-model-point-pillars-in-a-jupyter-notebook-1911ddd5bfe4?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/train-a-3-d-object-detection-model-point-pillars-in-a-jupyter-notebook

This straightforward guide offers a structured overview of all machine learning prerequisites needed to start working on your project, including the complete data pipeline from importing and cleaning data to modelling and production. Originally from KDnuggets https://ift.tt/2BSd33t source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-machine-learning-field-guide

Also: Essential Resources to Learn Bayesian Statistics; Deep Learning for Signal Processing: What You Need to Know; A Tour of End-to-End Machine Learning Platforms; I have a joke about …; First Steps of a Data Science Project Originally from KDnuggets https://ift.tt/318WdGe source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-jul-27-aug-2-computational-linear-algebra-for-coders-awesome-machine-learning-and-ai-courses

The analysis is done from 1000+ recent Data scientist jobs, extracted from job portals using web scraping. Originally from KDnuggets https://ift.tt/2D4JTPt source https://365datascience.weebly.com/the-best-data-science-blog-2020/know-what-employers-are-expecting-for-a-data-scientist-role-in-2020