Original Source Here Activation Functions Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/21/neural-networks-part2-activation-functions/

Original Source Here ‘Python equals data science.’- although it’s nothing but a busting myth, still we can say python is near equals to data science. But, why… Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/21/what-makes-python-libraries-so-important-for-data-science-learning/

Original Source Here I want to find the mean of all rows in the data set . Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/21/how-to-unstructure-the-structure-data/

Original Source Here Hello, Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/21/removing-all-highlightning-programmatically/

Original Source Here Hi, Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/21/error-evaluating-parameter-value-in-simulink/

https://cdn-images-1.medium.com/max/612/0*e_Z_3dESKnRn9ocR Original Source Here Data science can look like modern-day alchemy to the untrained eye. It could resemble a mix of broad mathematics and statistical knowledge… Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/21/resolving-retail-issues-using-data-science-2/

https://cdn-images-1.medium.com/max/612/0*VlxrrHGKyEBfKTc- Original Source Here Data science can look like modern-day alchemy to the untrained eye. It could resemble a mix of broad mathematics and statistical knowledge… Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/21/resolving-retail-issues-using-data-science/

Original Source Here Transfer Learning for Guitar Effects How difficult would life be if every new thing had to be learned from scratch? If once you learned the word “dog”, you had to once again learn that letters are symbols with sounds and you can put them together to make words and that “c-a-t” is a different four-legged animal with a tail? Thankfully, our brains are great at recognizin g patterns. If you already know that the word “dog” means one animal, then it’s not a huge stretch to understand that the word “cat” represents a different animal. Using what we already know to solve a similar problem is the concept behind transfer learning in artificial neural networks. Transfer learning is a technique in machine learning where information gained from solving one problem is applied to a similar but different problem. Practically speaking, this technique can be used to attain faster convergence or lower loss when training a neural network. It can also be used when there

Original Source Here Image Based Ingredient Prediction for an Indian Food Dataset Introduction In online food delivery, while ordering food, customers rely on information provided which is usually limited to name and a high-level description of the dish, an image and if the dish is vegetarian. To further improve the food ordering experience, more information on a dish can help a customer in decision making like what all ingredients are involved in the dish or how the food is prepared. Curating this additional information typically requires non-trivial manual effort. Multiple deep learning based work has been per- formed on food images which we discuss in detail in the related work section. We observed that there are existing models which provide ingredient information given a dish image but the challenge is in the data distribution. This paper explains the differences in ingredients across regions and countries, which implies difficulties in using pre-trained models on a dif

Original Source Here An intuitive walkthrough of Machine Learning, Neural Networks, and Deep Learning Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/20/machine-learning-ml-and-neural-networks-nn-an-intuitive-walkthrough/

Original Source Here Nearly 150,000 Tesla cars are using the company’s new “safety score,” a tool rolled out last month to determine whether owners can access the beta version of its “Full Self-Driving” software, executives said during its third quarter earnings call . While 150,000 cars are now part of the Full-Self Driving (FSD) beta enrollment program, a fraction of drivers have been given access to the software. Only 2,000 drivers have been able to test the FSD program over the past year. Earlier this month, Tesla rolled out version 10.2 to around 1,000 additional owners with perfect safety scores . Tesla charges $10,000 for the FSD software, which CEO Elon Musk has promised for years will one day deliver full autonomous driving capabilities. However, Tesla vehicles equipped with FSD are not self-driving. FSD is an advanced driver assistance system that includes a number of automated features, including its parking tool Summon as well as Navigate on Autopilot, an active guidanc

Original Source Here Do You Need the 2021 MacBook Pro for Data Science? Insights from a person using both an M1 and Intel Mac daily Hello there friends! On October 18, Apple finally unveiled their refreshed MacBook Pro line , and wow do those devices look gorgeous! It’s no secret that I’m a big fan of Apple, and while I’d love to be able to own all their devices, I — like you — have to be conscientious on which devices I choose to own and how often I upgrade them. One of the huge things Apple touted in today’s keynote was the astounding power of the new M1 Pro and M1 Max chipsets, and you might be wondering, is it worth me upgrading to this new hardware for my data science work? Obviously, I haven’t used those devices myself, but I can provide insight from a perspective of somebody who daily uses both an M1 Mac and an Intel Mac. More specifically, I use both an M1 Mac mini and M1 iPad Pro for my personal data science work, and for my regular job as machine learning engineer,

Original Source Here Vision Transformers in PyTorch When convolutions stopped being a trend? Image from Unsplash. Convolutional neural networks (CNNs) have been the pre-dominant backbone for almost all networks used in computer vision and image-related tasks due to the advantages they have in 2D neighbourhood awareness and translation equivariance compared to traditional multi-layer perceptrons (MLPs). However, with the recent shift in the language… AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/20/vision-transformers-in-pytorch/

https://miro.medium.com/max/1200/0*UuWQSZLhG7BvlXjq Original Source Here Why Gradient Descent Works? Everybody knows what Gradient Descent is and how it works. Ever wondered why it works? Here’s a mathematical explanation Photo by Yuriy Chemerys on Unsplash What is Gradient Descent? Gradient descent is an iterative optimization algorithm that is used to optimize the weights of a machine learning model (linear regression, neural networks, etc.) by minimizing the cost function of that model. The intuition behind gradient descent is this: Picture the cost function (denoted by f( Θ̅ ) where Θ̅ =[Θ₁, … Θₙ ] ) plotted in n dimensions as a bowl. Imagine a randomly placed point on that bowl represented by n coordinates (this is the initial value of your cost function). The minimum of this “function” then will be the bottom of the bowl. The goa l is then to reach to the bottom of the bowl (or minimize the cost) by progressively moving downwards on the bowl. For this to hap

https://cdn-images-1.medium.com/max/600/0*V6SoLwntiI9p7l47 Original Source Here Cybercriminals are no longer a threat to be taken lightly in today’s world. Each year, data theft affects more than a hundred thousand… Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/20/combating-cybersecurity-threats-using-artificial-intelligence/

Original Source Here TensorFlow Interview Questions and Answers for Data Scientist. Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/20/best-tensorflow-interview-guide/

https://cdn-images-1.medium.com/max/626/0*Z4smijNrNWX_o0XW Original Source Here Kardiovaskularne su bolesti jedan od najčešćih uzroka smrti u razvijenom svijetu. Više od četvrtine svih smrti u Hrvatskoj uzrokovane su… Continue reading on Penkalin blog » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/20/automatsko-mjerenje-volumena-epikardijalne-masti%e2%80%8a-%e2%80%8asto-racunala-znaju-o-vasem-kardiovaskularnom/

Original Source Here Hello, in this article I try to develop a model that predicts house prices with keras using the boston-housing-prices dataset. Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/20/boston-housing-prices-prediction-project-using-keras/

Original Source Here Introduction Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/10/20/a-better-understanding-how-a-cnn-works-code-available/

https://miro.medium.com/max/1200/0*RE7SpQw1148P0M0s Original Source Here No neural networks Let’s say PyTorch is still too much for us. We’d rather not run on anything that performs best on GPUs. That can be done! Next we’ll look at using a scikit-learn model to rank text semantically. Accuracy = 0.8595 Once again, not bad accuracy, 86%. txtai has the capability to use standard text classification models for similarity queries. The only caveat is that the queries must be pre-canned (determined at model training time). Next we’ll run similarity queries for a couple of the trained labels. joy What a cute picture 0.9270861148834229 Glad you found it 0.9023486375808716 Happy to see you 0.8416115641593933 anger I'm angry 0.9789760708808899 Didn't see that coming 0.2017391473054886 That's upsetting 0.16476769745349884 surprise That is so troubling 0.04044938459992409 That's upsetting 0.03875105082988739 Never thought I would see that 0.030828773975372314 Not quit

Original Source Here Table of Contents Introduction Pretend Knowing the Answer Going on Long Tangents Centering Data Science Around You Summary References Introduction From my participation in data science interviews, I have experienced a variety of applicants who have exhibited some things that they should have and some that they should not have. For this article, we will discuss what to avoid on your next data science interview ( some of this can also be applied to non-data science interviews ). Below, I will give the top examples that I personally think are things you should avoid in your interview, as well as what to do instead. Pretend to Know the Answer Photo by Green Chameleon on Unsplash [2]. I have definitely b een a culprit of this ‘ do-not ’ before when I interviewed. A possible reason for pretending to know the answer is fear of rejection. However, the opposite is really appreciated, is when you either attempt the answer for what you actually do know,

Original Source Here UK Health Secretary Sajid Javid has greenlit a series of AI-based projects that aim to tackle racial inequalities in the NHS. Racial inequality continues to be rampant in healthcare. Examining the fallout of COVID-19 serves as yet another example of the disparity between ethnicities. In England and Wales, males of Black African ethnic background had the highest rate of death involving COVID-19, 2.7 times higher than males of a White ethnic background. Females of Black Caribbean ethnic background had the highest rate, 2.0 times higher than females of White ethnic background. All ethnic minority groups other than Chinese had a higher rate than the White ethnic population for both males and females. Such disparities are sadly common across many conditions that can reduce life enjoyment, limit opportunities, and even lead to premature death. AI could be a powerful aid in tackling the problem, if thoroughly tested and implemented responsibly. “As the first health

Original Source Here AWS customers are increasingly training and fine-tuning large computer vision (CV) models with hundreds of terabytes of data and millions of parameters. For example, advanced driver assistance systems (ADAS) train perception models to detect pedestrians, road signs, vehicles, traffic lights, and other objects. Identity verification systems for the financial services industry train CV models to verify the authenticity of the person claiming the service with live camera images and official ID documents. With growing data sizes and increasing model complexity, there is a need to address performance bottlenecks within training jobs to reduce costs and turnaround times. Training bottlenecks include storage space and network throughput to move data in addition to updating model gradients, parameters, and checkpoints. Another common bottleneck with deep learning models is under-utilization of expensive GPU resources due to CPU-bound preprocessing bottlenecks. Custome