Data Science

Top Technical and Non-Technical Skills Every Data Scientist Needs
Career Data Science

Top Technical and Non-Technical Skills Every Data Scientist Needs

As the demand for data scientists increases, the field presents an appealing career path for students and existing technologists. Here’s list of the top technical and non-technical skills every data scientist needs to be successful. Utilizing big data, as an insight-producing engine has driven the demand for data scientists, across industry verticals. Regardless of whether […]

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Data Science Machine Learning

How to Use Data Augmentation to Address Overfitting

codebasics explains how to use data augmentation to address overfitting. When we don’t have enough training samples to cover diverse cases in image classification, often CNN might overfit. To address this we use a technique called data augmentation in deep learning. Data augmentation is used to generate new training samples from current training set using […]

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3 critical skills every successful data scientist needs
Career Data Science

3 Critical Skills Every Successful Data Scientist Needs

Data scientists with the right combination of skills are in high demand. But what are hiring teams on the lookout for? As with many roles, both technical expertise and soft skills are important. As data scientist Vin Vashishta writes, data science without soft skills has “limited value to the business”. An increasingly diverse skillset is […]

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Data Science Python

Free Data Science Hands-On Crash Course

Learn the basics of Data Science in the crash course created by Marco Peixeiro, where you will learn about the theory and code behind the most common algorithms used in data science. Datasets: https://github.com/marcopeix/datasciencewithmarco/tree/master/data Course Contents ⌨️ (00:00) Introduction ⌨️ (03:06) Setup ⌨️ (04:29) Linear regression (theory) ⌨️ (09:29) Linear regression (Python) ⌨️ (20:59) Classification […]

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Career Data Science

Data Science Myths Vs Reality Explained

In this video Krish Naik discusses common myths vs. the realities around the field of Data Science. Time stamps: 00:37 You need to have a PHD or Masters Degree 01:59 You need a Data Science Certification To Become Data Scientist 03:45 Your Previous Work Experience Is Not Important 05:21 You need to be from Computer […]

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Data Science

Do Data Science in F# with FsLab

Jon Wood provides this crash course to show how to install and start using FsLab for data science. Related Resources Script FsLab Site

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Data Science Mathematics Statistics

A Clear Explanation of Naive Bayes

StatQuest with Josh Starmer explains Naive Bayes in a clear way. When most people want to learn about Naive Bayes, they want to learn about the Multinomial Naive Bayes Classifier – which sounds really fancy, but is actually quite simple. This video walks you through it one step at a time and by the end, […]

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Data Science Databricks

Scaling Up AI Research to Production with PyTorch and MLFlow

PyTorch, the popular open-source ML framework, has continued to evolve rapidly since the introduction of PyTorch 1.0, which brought an accelerated workflow from research to production. In this video, take a deep dive on some of the most important new advances, including model parallel distributed training, model optimization and on device deployment as well as […]

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Data Science

How to Use .NET Interactive Jupyter Notebooks in Daily Work-Life

Jupyter Notebooks are best known as tools for Data Scientists to display Python, Spark or R scripts.  A Jupyter Notebook enables you to share words, images, code AND code results.  .NET interactive Jupyter notebooks add c sharp, F# and PowerShell core to the mix. In this episode, Rob Sewell will introduce Jupyter Notebooks and show […]

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