Deep Learning - A Tutorial for Data Scientists The tutorial answers the most frequently asked questions about deep learning and explores various aspects of deep learning with real-life examples. https://www.datacamp.com/community/tutorials/tutorial-deep-learning-tutorial

Making MLOps Fun Again 😎*.* The blog introduces you to MLOps integrations such as DVC, DagsHub, Gradio, and Hugging Face Spaces. https://towardsdatascience.com/deploying-gradio-app-on-spaces-using-dagshub-a-beginners-tutorial-a42664abcc14

Recurrent Neural Network Tutorial (RNN) Learn about the most popular deep learning model RNN and get hands-on experience by building a MasterCard stock price predictor. https://www.datacamp.com/community/tutorials/tutorial-for-recurrent-neural-network

At the end of last year, I was quite motivated to learn everything about MLOps, and my end goal was to build an end-to-end machine learning system. Just like other curious heads, I signed up for the MLOps event by Noah Gift. He was promoting his book and tutorial on Coursera. I was just surprised by how I never learned command-line tools and how they are essential for automation. During the Q&A session, I told him about my obsession, and he guided me to take his mini-course on DataCamp: Command Line Automation in Python. This course gave me a new perspective about data pipelines, editing data, creating scripts, and how a single line of code on a terminal can produce the same results as 15 lines of code on Python. So, I kept looking for the best material on the command line, and then I found Data Science at the Command Line by Jeroen Janssens. Read my blog to know learn about the special features of the book: https://www.kdnuggets.com/2022/03/data-science-command-line-free-ebook.html

Learn how to version control your files and large dataset with a few lines of scripts. FastDS combines the power of Git and DVC to provide a hassle-free versioning experience. Companies are always on the lookout for tools that can improve the productivity of their employees, as 92% of employees say productive tools that help them perform tasks efficiently improve work satisfaction. FastDS is for beginners, data science enthusiasts, and employers looking for a tool to improve the Git and data versioning experience. In this blog, we will understand everything about FastDS. We will also use it to version file, dataset, and Urdu Automatic Speech Recognition model and push the project files to DagsHub remote. Read the complete guide here: https://www.analyticsvidhya.com/blog/2022/04/a-beginners-guide-to-get-productive-with-fastds/

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Learn tricks on importing various data formats using Pandas with a few lines of code. We will be learning to import SQL databases, Excel sheets, HTML tables, CSV, and JSON files with examples. https://www.kdnuggets.com/2022/04/data-ingestion-pandas-beginner-tutorial.html

Have a great weekend everyone! 💃

A Complete Collection of Data Repositories Across 18 Fields of Science. The complete collection of the best data repositories on agriculture, audio, biology, climate, computer vision, economics, education, energy, finance, government, healthcare, natural language, neuroscience, physics, social network, sports, time series, and transportation. The collection also contains super data repositories with thousands of datasets across multiple disciplines. Part 1: The Complete Collection Of Data Repositories – Part 1 - KDnuggets Part 2: The Complete Collection Of Data Repositories – Part 2 - KDnuggets

Will DeepMind’s AlphaCode Replace Programmers? New milestone achieved by AlphaCode in competitive programming. Should software engineers fear for their jobs? Will AI replace us or assist us? https://www.kdnuggets.com/2022/04/deepmind-alphacode-replace-programmers.html

One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code. https://www.kdnuggets.com/2022/04/brief-introduction-papers-code.html

It usually takes me more time to load VSCode on my laptop then loading a cloud notebook instance. These platforms comes with free compute, pre-build environments, third-party tool integrations, collaborations, and publication options. In this blog, you are going to learn about the best features of the top five cloud notebooks and how you can use them to improve your current data science development stack. https://www.kdnuggets.com/2022/04/top-5-free-cloud-notebooks-2022.html

You know what, I cant even believe I wrote this. I mean this is one of my best work with diagrams, images, rich content, and FAQs. https://www.datacamp.com/tutorial/github-and-git-tutorial-for-beginners

Top-rated data science tracks consist of multiple project-based courses covering all aspects of data. It includes an introduction to Python/R, data ingestion & manipulation, data visualization, machine learning, and reporting. https://www.kdnuggets.com/2022/04/best-data-science-career-tracks-2022.html

Here is my top 10 Hugging Face Spaces machine learning demos. https://www.kdnuggets.com/2022/05/top-10-machine-learning-demos-hugging-face-spaces-edition.html What are your favorite machine learning web apps? do mention in the comments.

If you are fan of Stack Overflow SQL solutions, then you will love this book. Use it to ace your SQL jobs interview. Read a Book Review: https://www.kdnuggets.com/2022/05/sql-notes-professionals-free-ebook-review.html

In my recent guest appearance on Adventures in Machine Learning, I talked about AutoML and how it works. Benjamin Wilson and I also discuss open-source vs. proprietary platforms. Episode 070: https://adventuresinml.com/automl-discovery-and-approach-ml-070 You can listen it on Apple podcast, Google podcast, and Spotify. Thank you to the hosts Benjamin Wilson and Michael Berk

A simple guide to reinforcement learning for a machine learning beginner. The blog includes definitions with examples, real-life applications, key concepts, and various learning resources. www.kdnuggets.com/2022/05/reinforcement-learning-newbies.html

Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture. https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-1.html

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Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives. https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-2.html

Get into the highly in-demand world of data engineering for free and earn 6 figures salary. https://www.kdnuggets.com/2022/05/free-data-engineering-courses.html

Learn to train and track your experiments, create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps. https://www.kdnuggets.com/2022/06/learn-mlops-free-course.html

Check out this project to architect your MLOps stack! 👉 https://mymlops.com/

Learn essential Git commands for versioning and collaborating on data science projects. https://www.kdnuggets.com/2022/06/14-essential-git-commands-data-scientists.html

Sneak peek 👀

Essential Linux commands to improve the data science workflow. It will give you the power to automate tasks, build pipelines, access file systems, and enhance development operations. https://www.kdnuggets.com/2022/06/20-basic-linux-commands-data-science-beginners.html

Learn about the standard process for building sustainable machine learning applications. https://www.kdnuggets.com/2022/06/making-sense-crispmlq-machine-learning-lifecycle-process.html

If you are new to DVC and want to learn simple commands, then check out my latest blog: https://www.kdnuggets.com/2022/07/16-essential-dvc-commands-data-science.html It will help you version large datasets and track and manage the machine learning experiments