In today’s world, as Software engineers, we all want the highest-paying job. Most of the research from different organizations, institutions, academics, and many more are denoting Data Science, Data Analysis, and Data Engineering. According to my wisdom, day by day, data is growing exponentially. The time is quite close when we may run out of memory. If you check around, the … [Read more...] about How to do Research in Data Science?
Machine Learning
Guidelines for Human-AI Interaction
Artificial Intelligence (AI) and Machine Learning (ML) illustrate amazing victory. Especially Deep learning (DL) approaches hold incredible hypothesis. Unfortunately, the leading performing strategies turn out to be not transparent, so-called “black-boxes”. Such models have no express revelatory information representation, subsequently, have trouble in producing informative and … [Read more...] about Guidelines for Human-AI Interaction
Making the Case for Improper Learning in Control
What is Improper Learning? In machine learning parlance, given a class of controllers (or hypotheses or classifiers as the case may be), an algorithm that picks strictly from among those available is called a Proper Learner, and those that output from (potentially) outside the given class are said to be Improper Learners [2]. A simple example of this could be a classification … [Read more...] about Making the Case for Improper Learning in Control
Learn Supervised Learning from Best Machine Learning Training in Delhi
If you are looking to earn a certificate or an executive degree then one of the best choices is to pursue your career with the Best Machine Learning training in Delhi. Delhi has got thousands of reputed institutes that provide various Machine Learning courses Delhi at various price rates. Most of these institutes also provide scholarships and various other benefits for their … [Read more...] about Learn Supervised Learning from Best Machine Learning Training in Delhi
Neural Networks and Deep Learning with Keras Part-1🧙♂️
The Perceptron is one of the simplest ANN architectures, invented in 1957 by Frank Rosenblatt. It is based on a slightly different artificial neuron called a threshold logic unit (TLU), or sometimes a linear threshold unit (LTU).Threshold logic unitA single TLU can be used for simple linear binary classification. It computes a linear combination of the inputs and if the result … [Read more...] about Neural Networks and Deep Learning with Keras Part-1🧙♂️
Where you at? Where to find Datasets? (RDQ#6)
Unlike Carmen San Diego or Atlantis, finding viable datasets is not hard if you know where to look. Since the recent explosion in interest and application of Deep Learning, datasets have become the gas to power the ever growing monstrous machine learning model of modernity. From the shows you watch on Netflix, the steps that you struggle to make on your Fitbit, or the photos … [Read more...] about Where you at? Where to find Datasets? (RDQ#6)
How To Avoid Overfitting In Neural Networks
Most of the time, underfitting happens when the models or algorithms are too simple to fit more complex trends. The solution to this is simply train your model for more time or try a more complex model or algorithm. So, what is overfitting?What is overfitting?Source: Stanford UniversityWe briefly talked about overfitting when discussing methods for high-dimensional problems in … [Read more...] about How To Avoid Overfitting In Neural Networks
Are Organizations Succeeding at AI and ML ? Why organizations still make it wrong ?
AI services on public clouds is available today cheap and easy to perform. AI and ML services started being used with business applications where the process of learning or finding patterns is not a requirement.When AI is the shiny new hammer, every application looks like a nail. Most applications do not leverage in the right way without any business meaning. The organization … [Read more...] about Are Organizations Succeeding at AI and ML ? Why organizations still make it wrong ?
Jazz Music Improv With LSTM
Leveraging Long Short-Term Memory (LSTM) to generate novel jazz solos.The dataset is a corpus of jazz music with the generation using 78 values. In this case, values can be thought as musical notes.This model was propositioned to learn musical patterns, so the LSTM was set with 64 dimensional hidden states. Then input and output layers were created for the network.Next was to … [Read more...] about Jazz Music Improv With LSTM
OpenAI’s DALL·E: Text-to-Image Generation Explained
OpenAI just released the paper explaining how DALL-E works! It is called “Zero-Shot Text-to-Image Generation”.It uses a transformer architecture to generate images from a text and base image sent as input to the network. But it doesn’t simply take the image, the text, and sends it to the network. First, in order to be “understood” by the transformer architecture, the … [Read more...] about OpenAI’s DALL·E: Text-to-Image Generation Explained