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Can you Lie to your Deep Learning Model?

10 Awesome Data Manipulation and Wrangling Hacks, Tips and Tricks

Data manipulation and wrangling hacks, tips and tricks to become an efficient data scientist. We cover 10 python, pandas and other data science hacks.

6 Python Libraries to Interpret Machine Learning Models and Build Trust

Python libraries for interpretable machine learning models. Interpreting machine learning models plays a big role in a data science project.

Using Graphs to Identify Social Media Influencers

Social Media Influencer Identification Using Graphs theory. Learn about social media influencers, why it's important and Identifying Multiple Influencers.

TensorFlow 2.0 Tutorial for Deep Learning

Learn What is TensorFlow 2.0. This tutorial explains installation of tensorflow 2.0 and image classification and text classification using tensorflow 2.0.

Guide to Pretrained Word Embeddings for NLP Practitioners

Pretrained word embeddings are a key concept in Natural Language Processing. We will cover two-word embeddings in NLP: Word2vec and GloVe.

Top Highlights from TensorFlow Dev Summit 2020!

Highlights of TensorFlow Dev Summit 2020. Below are the key highlights of TensorFlow Summit 2020 streamed live on the youtube which new features introduced.

One Hot Encoding vs Label Encoding in Machine Learning

This article explains the difference between one hot encoding vs label encoding with ML examples, codes and reasoning. Read Now!

Learn How to use the Transform Function in Pandas (with Python code)

Pandas Transform function for efficient feature engineering in Python. Discover its potential, even if you're familiar with Excel.

TensorFlow Serving: Deploying Deep Learning Models Just Got Easier!

TensorFlow Serving is a high performance model deployment system for machine learning and deep learning. Learn about deploying deep learning models with it.