- Filter by
- Categories
- Tags
- Authors
- Show all
- All
- Apache Kafka
- Artificial Intelligence
- Bayesian Statistics
- Big Data
- Cassandra
- Computer Vision
- Data Engineering
- Data Science
- Database
- Deep Learning
- Design Pattern
- DevOps
- Django
- Docker
- ELK
- English
- Feature Engineering
- Finance
- Java
- Java Script
- Keras
- Linear Algebra
- Linux
- Machine Learning
- Mathematics
- MLOps
- NLP
- Python
- PyTorch
- Recommendation Systems
- Reinforcement Learning
- Research
- Software Engineering
- Spark
- State of the art technologies
- Statistics and Probability
- Tensorflow
- Time Series
- Uncategorized
- All
- Apache Kafka
- Big Data
- boltzman
- broadcasting
- Cython
- Deploy
- Django
- Docker
- Elasticsearch
- ELK
- Exception Handling
- Feature Engineering
- GPU
- GRU
- Linux
- Logging
- lstm
- MinIO
- monte carlo
- numpy
- Pandas
- PySpark
- Python
- PyTorch
- Reinforcement Learning
- remover
- S3
- scikit-learn
- Self-Driving Car
- separator
- sklearn
- tmux
- transfer learning
- Tutorial
- Ubuntu
- vocal
2022-04-24
14 mins read Doing away with clunky for-loops, the transformer instead finds a way to allow whole sentences to simultaneously enter the network […]
2022-04-09
32 mins read This year, we saw a dazzling application of machine learning. The OpenAI GPT-2 exhibited an impressive ability to write coherent and passionate […]
2022-03-23
43 mins read We’ve been hearing a lot about Transformers and with good reason. They have taken the world of NLP by storm […]
2022-03-09
Categories
19 mins read Table of Contents An Introduction To PyTorch Dataset and DataLoaderWhy Write Good Data Loaders and Datasets?The Basic PyTorch Dataset StructureImplementing […]
2022-03-08
48 mins read Few areas of AI are more exciting than NLP right now. In recent years language models (LM), which can perform […]
2022-02-24
21 mins read In deep learning, convolutional layers have been major building blocks in many deep neural networks. The design was inspired by […]
2022-02-23
14 mins read For decades, Statistical Machine Translation has been the dominant translation model, until the birth of Neural Machine Translation (NMT). NMT is an […]
2022-02-22
10 mins read In every Machine Learning project, it is possible and recommended to search the hyperparameter space to get the best performance […]
2022-01-29
19 mins read In machine learning (ML), generalization usually refers to the ability of an algorithm to be effective across various inputs. It […]
2022-01-28
Categories
7 mins read In this article, you will get a detailed explanation of how neural machine translation developed using sequence to sequence algorithm […]
2022-01-23
22 mins read In this article, I will be covering the main concepts behind Attention, including the implementation of a sequence-to-sequence Attention model, […]
2022-01-18
11 mins read We often read almost everywhere that Lasso regression encourages zero coefficient and hence provides a great tool for variable selection as well but it […]
2021-11-23
11 mins read Conventional encoder-decoder architectures for machine translation encoded every source sentence into a fixed-length vector, irrespective of its length, from which […]
2021-11-09
17 mins read The year 2018 has been an inflection point for machine learning models handling text (or more accurately, Natural Language Processing […]
2021-11-08
11 mins read Progress has been rapidly accelerating in machine learning models that process language over the last couple of years. This progress […]
2021-11-08
29 mins read Sequence-to-sequence models are deep learning models that have achieved a lot of success in tasks like machine translation, text summarization, […]
2021-11-01
43 mins read Working with time series data? Here’s a guide for you. In this article, you will learn how to compare and […]
2021-09-24
34 mins read This is a long-overdue blog post on Reinforcement Learning (RL). RL is hot! You may have noticed that computers can […]
2021-08-22
39 mins read Introduction Recurrent Neural Networks (or more precisely LSTM/GRU) have been found to be very effective in solving complex sequence-related problems […]
2021-08-06
8 mins read Introduction There are several methods to calculate gradients in computer programs: (1) Manual differentiation; (2) Symbolic differentiation; (3) Finite differences […]