Optimizing Retention through Machine Learning

Co-author: Richard Vogg Photo by Micheile Henderson on Unsplash Acquiring a new customer in the financial services sector can be as much as five to 25 times more expensive than retaining an existing one. Therefore, prevention of costumer churn is of paramount importance for the business. Advances in the area of Machine Learning, availability of large amountContinue reading “Optimizing Retention through Machine Learning”

Want to Be a Data Scientist? Dont Start With Machine Learning

Machine learning may appear like the go-to topic to start learning for the aspiring data scientist. But. thinking these techniques are the key aspects of the role is the biggest misconception. So much more goes into becoming a successful data scientist, and machine learning is only one component of broader skills around processing, managing, andContinue reading “Want to Be a Data Scientist? Dont Start With Machine Learning”

Deep Learning Pioneer Geoff Hinton on his Latest Research and the Future of AI

Geoff Hinton has lived at the outer reaches of machine learning research since an aborted attempt at a carpentry career a half century ago. He spoke to Craig Smith about his work In 2020 and what he sees on the horizon for AI. Originally from KDnuggets https://ift.tt/3om3HiJ source https://365datascience.weebly.com/the-best-data-science-blog-2020/deep-learning-pioneer-geoff-hinton-on-his-latest-research-and-the-future-of-ai

Six Times Bigger than GPT-3: Inside Googles TRILLION Parameter Switch Transformer Model

Google’s Switch Transformer model could be the next breakthrough in this area of deep learning. Originally from KDnuggets https://ift.tt/2YcxRKH source https://365datascience.weebly.com/the-best-data-science-blog-2020/six-times-bigger-than-gpt-3-inside-googles-trillion-parameter-switch-transformer-model

CNN Explainer – Interpreting Convolutional Neural Networks (2/N)

Visualizing Gradient Weighted Class Activations with GradCAM Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/cnn-explainer-interpreting-convolutional-neural-networks-2-n-18e40a03eae2?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/cnn-explainer-interpreting-convolutional-neural-networks-2n

License Plate Detection (ANPR) Part2

In the previous article on LPD, we cover all theory part, if you haven’t check out yet please go through  License Plate Recognition (All… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/license-plate-detection-anpr-part2-ebb46aa28602?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/license-plate-detection-anpr-part2

Top Stories Jan 18-24: How I Got 4 Data Science Offers and Doubled my Income 2 Months After Being Laid Off; Cloud Computing Data Science and ML Trends in 20202022: The battle of giants

Also: Data Engineering — the Cousin of Data Science, is Troublesome; Build a Data Science Portfolio that Stands Out Using These Platforms; K-Means 8x faster, 27x lower error than Scikit-learn in 25 lines; Popular Machine Learning Interview Questions Originally from KDnuggets https://ift.tt/36bfWIA source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-jan-18-24-how-i-got-4-data-science-offers-and-doubled-my-income-2-months-after-being-laid-off-cloud-computing-data-science-and-ml-trends-in-20202022-the-battle-of-giants

The Ultimate Scikit-Learn Machine Learning Cheatsheet

With the power and popularity of the scikit-learn for machine learning in Python, this library is a foundation to any practitioner’s toolset. Preview its core methods with this review of predictive modelling, clustering, dimensionality reduction, feature importance, and data transformation. Originally from KDnuggets https://ift.tt/3sTfngr source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-ultimate-scikit-learn-machine-learning-cheatsheet

Null Hypothesis Significance Testing is Still Useful

Even in the aftermath of the replication crisis, statistical significance lingers as an important concept for Data Scientists to understand. Originally from KDnuggets https://ift.tt/3c5wsxH source https://365datascience.weebly.com/the-best-data-science-blog-2020/null-hypothesis-significance-testing-is-still-useful

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