A closer look at the most useful and unique Python libraries, packages, modules, and platforms for Data Scientists, including:
- Pandas Profiling
- NLTK
- TextBlob
- pyLDAvis
- NetworkX
Tag Archives: Python
Text Preprocessing with NLTK
A detailed walkthrough of preprocessing a sample corpus with the NLTK library using stemming and lemmatization. Read More
Learn NLP the Stanford Way — Lesson 2
Second in an n-part series. Deep dive into Word2vec, GloVe, and word senses. Read More
Learn NLP the Stanford way — Lesson 1
The AI area of Natural Language Processing, or NLP, throughout its gigantic language models — yes, GPT-3, I’m watching you — presents what it’s perceived as a revolution in machines’ capabilities to perform the most distinct language tasks.
Due to that, the perception of the public as a whole is split: some perceive that these new language models are going to pave the way to a Skynet type of technology, while others dismiss them as hype-fueled technologies that will live in dusty shelves, or HDD drives, in little to no time.
Motivated by this, this series of storiesapproaches NLP from scratch in a friendly way. Read More
GANs with Keras and TensorFlow
… Generative Adversarial Networks were first introduced by Goodfellow et al. in their 2014 paper, Generative Adversarial Networks. These networks can be used to generate synthetic (i.e., fake) images that are perceptually near identical to their ground-truth authentic originals.
In this tutorial you will learn how to implement Generative Adversarial Networks (GANs) using Keras and TensorFlow. Read More
Guide to Visual Recognition Datasets for Deep Learning with Python Code
Some visual recognition datasets have set benchmarks for supervised learning (Caltech101, Caltech256, CaltechBirds, CIFAR-10 andCIFAR-100) and unsupervised or self-taught learning algorithms(STL10) using deep learning across different object categories for various researches and developments. Under visual recognition mainly comes image classification, image segmentation and localization, object detection and various other use case problems. Many of these datasets have APIs present across some deep learning frameworks. This article talks about some of these datasets features along with some python code snippets on how to use them. Read More
For under $40, you can learn all about Python, machine learning and artificial intelligence
This week in thinking machines news, a Harvard professor and his students have now raised $14 million to create artificial intelligence so smart that even hackers can’t crack it. Meanwhile, reports from the White House suggest the federal government is close to issuing their directives on how agencies should regulate AI going forward.
And if story no. 1 makes you at all dubious about the impact of story no. 2…well, welcome to the amazing world of Python, machine learning and the tech wonders and ethical quandaries of creating human-based artificial life. Read More
Deep Learning with CIFAR-10
Image Classification using CNN
Neural Networks are the programmable patterns that helps to solve complex problems and bring the best achievable output. Deep Learning as we all know is a step ahead of Machine Learning, and it helps to train the Neural Networks for getting the solution of questions unanswered and or improving the solution!
In this article, we will be implementing a Deep Learning Model using CIFAR-10 dataset. Read More
The Ultimate Python Resource hub
Programming language Python is a big hit for machine learning. But now it needs to change
Despite its popularity, Python could become limited to data science alone on its current trajectory, say two experts.
Open-source programming language Python has become one of the few languages that won’t disappear anytime soon. It’s the top or one of the top two languages in most notable language popularity indexes, and even looks set to beat Java these days.
But 35-year-old Python does have its weaknesses. Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and skippy, but as a general programming language. Read More
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