Raghuveer Bhandarkar @raghumbr

Senior Architect @Oracle. MS from Georgia Tech (Machine Learning) #ML #Cloud #Architecture #Devops Love to write about technology Bengaluru, India Joined May 2010

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Raghuveer Bhandarkar @raghumbr

2 years ago

Are you exploring which Ingress to use in Kubernetes? I have shared my experience of using Traefik as an Ingress in this article. raghumb.medium.com/traefik-cloud-… #Kubernetes #traefiklabs

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Raghuveer Bhandarkar @raghumbr

2 years ago

While training a model, if we employ EarlyStoppinh, how can we get the best model? Here is a video which explains Checkpointing in #TensorFlow #MachineLearning youtu.be/TIBqbmDTfbI

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Raghuveer Bhandarkar @raghumbr

2 years ago

Ever wondered how to save model using TensorFlow? Here is a video which explains this #TensorFlow #MachineLearning youtu.be/HIspQ1gNqO0

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Raghuveer Bhandarkar @raghumbr

2 years ago

Early Stopping is an important technique in training Deep Learning Networks. If you are interested in learning more on hands on, here is a video which explains all of it. #MachineLearning #TensorFlow #ArtificialIntelligence youtu.be/RGqzJhksRRU

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Raghuveer Bhandarkar @raghumbr

2 years ago

When we build a model in TensorFlow, it is also important to observe the weights, biases and the layer details. Here is a video which explains how to do that. #MachineLearning #TensorFlow youtu.be/aKF1ZQaH6tk

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Raghuveer Bhandarkar @raghumbr

3 years ago

To get started with #TensorFlow and to understand how to build a neural network here is a short video. It also explains concepts like Batch and Epoch. youtu.be/68ACCY9BnZ0 #MachineLearning #DataScience #artificialintellegence

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Raghuveer Bhandarkar @raghumbr

3 years ago

Scikit-learn Series: How do we perform Cross Validation and evaluate it's metrics? Use cross_val_score #MachineLearning #DataScience

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Raghuveer Bhandarkar @raghumbr

3 years ago

Scikit-learn Series: How do we remove missing values in data? Use SimpleImputer #MachineLearning #DataScience

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Raghuveer Bhandarkar @raghumbr

3 years ago

Scikit-learn Series: How do we apply Normalisation on data to reduce data to unit norm? Use Normalizer #MachineLearning #DataScience

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Raghuveer Bhandarkar @raghumbr

3 years ago

If you are looking to learn hands-on TensorFlow, here is a video which covers the fundamentals of TensorFlow. #MachineLearning #DataScience #TensorFlow youtu.be/ml4UCipo-TY

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Raghuveer Bhandarkar @raghumbr

3 years ago

Scikit-learn Series: How do we convert categorical data to numeric without introducing bias? Use One Hot Encoding #MachineLearning #DataScience

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Raghuveer Bhandarkar @raghumbr

3 years ago

Scikit-learn Series: How do we convert the categorical data in our data to numeric? Consider LabelEncoding as an option. #MachineLearning #DataScience

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Raghuveer Bhandarkar @raghumbr

3 years ago

Scikit-learn Series: How do we apply scaling to a given range on data ? Use MinMaxScaler #MachineLearning #DataScience

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Raghuveer Bhandarkar @raghumbr

3 years ago

Scikit-learn Series: How do we apply scaling on data? Use StandardScaler #MachineLearning #DataScience

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Raghuveer Bhandarkar @raghumbr

3 years ago

Transfer Learning allows us to use already trained models to solve a new problem using #DeepLearning. Interested in knowing more about this? Here is a video on 'What, How and Why of Transfer Learning' #MachineLearning youtu.be/42ln-8jNzSA

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Raghuveer Bhandarkar @raghumbr

3 years ago

Are you interested in learning Deep Learning? Do you want to get an introduction to Deep Learning in 7 minutes? Here is a video which explains #DeepLearning in simple terms. #MachineLearning youtu.be/5HADZ8LoLWo

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Raghuveer Bhandarkar @raghumbr

3 years ago

OverFitting and UnderFitting are two common issues DataScientists face while fitting a model. This video explains the difference and techniques to avoid OverFitting. #MachineLearning youtu.be/iyXaGO_zQOA

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Raghuveer Bhandarkar @raghumbr

3 years ago

Have you ever wondered what are the essential skills to become a successful Machine Learning engineer? This video lists out 11 such key skills. #MachineLearning #DataScience youtu.be/RmsCGWIXrvQ