7 ways to deal with Tech Burn-out
Photo by Elisa Venturf on Unsplash
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- technology 12
- machinelearning 11
- datascience 11
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- algorithms 11
- productivity 6
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technology
YOLOv3 Object Detection Algorithm
Photo by Marten Newhall on Unsplash
Transfer Learning with MobileNet-v2
What is Transfer Learning ? In transfer learning, we use a pre-trained model which is trained on a large and general enough dataset to serve as a generic ...
Hyper-Parameter Tuning to Optimize ML Models (MobileNet v2)
What is meant by Fine-Tuning a model ? The goal of fine-tuning is to adapt specialized features from a generic dataset to work with the new dataset, rathe...
Deep Neural Network (DNN) in a Brief
Neural Network (NN): It is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way...
Tensorflow in 5 minutes
What is Tensorflow ? It is a free and open-source platform for high-performance numerical computation, specifically for ML and Deep Learning. Has a flex...
Introduction to Docker
Docker
K-Nearest Neighbors (KNN) Algorithm
Simple Analogy for K-Nearest Neighbors (K-NN)
Support Vector Machines (SVMs)
Introduction
Logistic Regression
Introduction Logistic Regression is a Supervised learning algorithm widely used for classification. It is used to predict a binary outcome (1/ 0, Yes/ No, Tr...
Introduction to Machine Learning
What is Machine Learning?
machinelearning
YOLOv3 Object Detection Algorithm
Photo by Marten Newhall on Unsplash
Transfer Learning with MobileNet-v2
What is Transfer Learning ? In transfer learning, we use a pre-trained model which is trained on a large and general enough dataset to serve as a generic ...
Hyper-Parameter Tuning to Optimize ML Models (MobileNet v2)
What is meant by Fine-Tuning a model ? The goal of fine-tuning is to adapt specialized features from a generic dataset to work with the new dataset, rathe...
Deep Neural Network (DNN) in a Brief
Neural Network (NN): It is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way...
Tensorflow in 5 minutes
What is Tensorflow ? It is a free and open-source platform for high-performance numerical computation, specifically for ML and Deep Learning. Has a flex...
Introduction to Docker
Docker
K-Nearest Neighbors (KNN) Algorithm
Simple Analogy for K-Nearest Neighbors (K-NN)
Support Vector Machines (SVMs)
Introduction
Logistic Regression
Introduction Logistic Regression is a Supervised learning algorithm widely used for classification. It is used to predict a binary outcome (1/ 0, Yes/ No, Tr...
Introduction to Machine Learning
What is Machine Learning?
datascience
YOLOv3 Object Detection Algorithm
Photo by Marten Newhall on Unsplash
Transfer Learning with MobileNet-v2
What is Transfer Learning ? In transfer learning, we use a pre-trained model which is trained on a large and general enough dataset to serve as a generic ...
Hyper-Parameter Tuning to Optimize ML Models (MobileNet v2)
What is meant by Fine-Tuning a model ? The goal of fine-tuning is to adapt specialized features from a generic dataset to work with the new dataset, rathe...
Deep Neural Network (DNN) in a Brief
Neural Network (NN): It is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way...
Tensorflow in 5 minutes
What is Tensorflow ? It is a free and open-source platform for high-performance numerical computation, specifically for ML and Deep Learning. Has a flex...
Introduction to Docker
Docker
K-Nearest Neighbors (KNN) Algorithm
Simple Analogy for K-Nearest Neighbors (K-NN)
Support Vector Machines (SVMs)
Introduction
Logistic Regression
Introduction Logistic Regression is a Supervised learning algorithm widely used for classification. It is used to predict a binary outcome (1/ 0, Yes/ No, Tr...
Introduction to Machine Learning
What is Machine Learning?
deeplearning
YOLOv3 Object Detection Algorithm
Photo by Marten Newhall on Unsplash
Transfer Learning with MobileNet-v2
What is Transfer Learning ? In transfer learning, we use a pre-trained model which is trained on a large and general enough dataset to serve as a generic ...
Hyper-Parameter Tuning to Optimize ML Models (MobileNet v2)
What is meant by Fine-Tuning a model ? The goal of fine-tuning is to adapt specialized features from a generic dataset to work with the new dataset, rathe...
Deep Neural Network (DNN) in a Brief
Neural Network (NN): It is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way...
Tensorflow in 5 minutes
What is Tensorflow ? It is a free and open-source platform for high-performance numerical computation, specifically for ML and Deep Learning. Has a flex...
Introduction to Docker
Docker
K-Nearest Neighbors (KNN) Algorithm
Simple Analogy for K-Nearest Neighbors (K-NN)
Support Vector Machines (SVMs)
Introduction
Logistic Regression
Introduction Logistic Regression is a Supervised learning algorithm widely used for classification. It is used to predict a binary outcome (1/ 0, Yes/ No, Tr...
Introduction to Machine Learning
What is Machine Learning?
algorithms
YOLOv3 Object Detection Algorithm
Photo by Marten Newhall on Unsplash
Transfer Learning with MobileNet-v2
What is Transfer Learning ? In transfer learning, we use a pre-trained model which is trained on a large and general enough dataset to serve as a generic ...
Hyper-Parameter Tuning to Optimize ML Models (MobileNet v2)
What is meant by Fine-Tuning a model ? The goal of fine-tuning is to adapt specialized features from a generic dataset to work with the new dataset, rathe...
Deep Neural Network (DNN) in a Brief
Neural Network (NN): It is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way...
Tensorflow in 5 minutes
What is Tensorflow ? It is a free and open-source platform for high-performance numerical computation, specifically for ML and Deep Learning. Has a flex...
Introduction to Docker
Docker
K-Nearest Neighbors (KNN) Algorithm
Simple Analogy for K-Nearest Neighbors (K-NN)
Support Vector Machines (SVMs)
Introduction
Logistic Regression
Introduction Logistic Regression is a Supervised learning algorithm widely used for classification. It is used to predict a binary outcome (1/ 0, Yes/ No, Tr...
Introduction to Machine Learning
What is Machine Learning?
productivity
Why Learned Helplessness Will Destroy Your Life?
Have you felt that much of your life has been a result of Luck and not how much you work hard? That however hard you tried, you are still stuck in a rut and ...
7 ways to deal with Tech Burn-out
Photo by Elisa Venturf on Unsplash
Why Competition is for losers? 🤾🏻
Ever felt the need to compete. We as humans have built ourselves to be faster than ever, stronger than ever, and smarter than ever. But if we slow down, does...
6 Laws to lead a productive life 🎯
Famous Laws/Principles to increase your Productivity
You need just 20 hours to learn almost anything!⏱️
Malcolm Gladwell and the 10,000 hours rule There is a famous rule that you may have heard a lot whenever someone is talking about learning anything, it’s cal...
Convolutional Neural Network (CNN) in a brief
What is Convolutional Neural Network (CNN) ? A neural network in which at least one layer is a convolutional layer. Depending on features, we categorize...
docker
YOLOv3 Object Detection Algorithm
Photo by Marten Newhall on Unsplash
architecture
YOLOv3 Object Detection Algorithm
Photo by Marten Newhall on Unsplash