Beginners Guide to PySpark
35 minutes ago, towardsdatascience

Chapter 1: Introduction to PySpark using US Stock Price DataContinue reading on Towards Data Science »...

Computational Complexity of Neural Networks
53 minutes ago, towardsdatascience

On why neural networks are so slow to train and how can we speed it upContinue reading on Towards Data Science »...

A Must-Have Tool for Every Data Scientist
57 minutes ago, towardsdatascience

TensorDash — An app to remotely monitor your Machine Learning modelsPhoto by Luke Chesser on UnsplashLet's face it; training a machine learning model is time-consuming. Even with the advancement in computing prowess over the past few years, training machine learning models takes a lot of time. Even the most trivial models have more than a million parameters. On a bigger scale, these models have over a billion parameters(GPT-3 has over 175 billion parameters!), and training these models takes day...

Jupyter Notebook in a Docker Container on AWS EC2 Instance
1 hour ago, towardsdatascience

Best of all possible worlds for Data Science and Machine Learning professionalsContinue reading on Towards Data Science »...

Your (imaginary) first day as a Data Analyst
1 hour ago, towardsdatascience

Your Imaginary first Day as a Data AnalystFinish your first project with the help of your prior online course knowledgeHave you ever asked yourself how a successful first day as a data analyst looks? To get my Data Science Nanodegree, I will show you a simple scenario.You will learn:What Cross-Selling is?How to analyze your customers.How to use machine learning for a cross-sell prediction.SzenarioI got a dataset from Kaggle with the name “Health Insurance “Cross-Sell Prediction 🏠 🏥”. Please, ima...

Interpretability in Machine Learning
1 hour ago, towardsdatascience

Why we need to understand how our models make predictionsContinue reading on Towards Data Science »...

Will All Future IDE’s Be In Your Browser?
1 hour ago, towardsdatascience

Is Repl.it the new normal in programming?Continue reading on Towards Data Science »...

The most 5 error prone cases for strings in Python
1 hour ago, towardsdatascience

String is a basic datatype in Python, but do you really know how to use it? Let’s discuss the most 5 error prone cases as below.Continue reading on Towards Data Science »...

Build an awesome data science (or any) portfolio in no time with these tools
1 hour ago, towardsdatascience

Save time & build a great looking online presence. What use do most data scientists have for raw HTML & CSS anyway?Continue reading on Towards Data Science »...

Music Generation Through Deep Neural Networks
1 hour ago, towardsdatascience

Creative application of Machine LearningContinue reading on Towards Data Science »...

Stock Market Outcomes Are Currently Bernoulli Distributed
1 hour ago, towardsdatascience

What That Means For Equity RiskContinue reading on Towards Data Science »...

9 Tips For Data-Driven Decision Making
1 hour ago, towardsdatascience

Proven approach to avoid costly mistakesContinue reading on Towards Data Science »...

Suggestions For Professional Dashboards
1 hour ago, towardsdatascience

How to build effective data visualizations for Business ExecutivesContinue reading on Towards Data Science »...

The basic of Google Data Studio
1 hour ago, towardsdatascience

Build Stunning Data Visualization with Public Dataset QuicklyContinue reading on Towards Data Science »...

Day 146 of #NLP365: NLP Papers Summary — Exploring Content Selection in Summarization of Novel…
1 hour ago, towardsdatascience

NLP Papers Summary is a series where I summarise the key takeaways of NLP research papersContinue reading on Towards Data Science »...

Exploiting the differences between model training and prediction.
1 hour ago, towardsdatascience

Reducing the memory footprint and improving the speed and portability of deployed models.The code accompanying this post can be found here.In recent months we have helped many companies deploy their AI / ML models in various environments. We have contributed to model deployment in Healthcare, and, in the last few months, we have helped several companies move trained models to different types of IoT devices. Particularly in the latter case, requirements are often strict: both the number of comput...

Serverless ML: Deploying Lightweight Models at Scale
1 hour ago, towardsdatascience

Deploying ML models ‘into production’ as scalable APIs can be tricky. This post looks at one option to make model deployment a bit easier.Continue reading on Towards Data Science »...

Why Python Will Remain Undisputed For The Next Decade!
1 hour ago, towardsdatascience

Learn why python will remain untouched and relevant for the next decade despite what the Naysayers say!Continue reading on Towards Data Science »...

How do we describe data?
1 hour ago, towardsdatascience

Descriptive comes from the word ‘describe’ and so it typically means to describe something. Descriptive statistics is essentially describing the data through methods such as graphical representations, measures of central tendency and measures of variability. It summarizes the data in a meaningful way which enables us to generate insights from it.Types of DataThe data can be both quantitative and qualitative in nature. Quantitative data is in numeric form , which can be discrete that includes fin...

How I customarily bin data with Pandas
9 hours ago, towardsdatascience

You might have been using only the defaultsContinue reading on Towards Data Science »...

Next