Top Stories, Sep 27 – Oct 3: Path to Full Stack Data Science

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Top Stories, Sep 27 – Oct 3: Path to Full Stack Data Science


Also: How To Build A Database Using Python; Surpassing Trillion Parameters and GPT-3 with Switch Transformers – a path to AGI?; Nine Tools I Wish I Mastered Before My PhD in Machine Learning; 20 Machine Learning Projects That Will Get You Hired



Most Popular Last Week

  1. Path to Full Stack Data SciencePath to Full Stack Data Science, by Jawwad Siddique
  2. How To Build A Database Using Python, by Irfan Alghani Khalid
  3. Surpassing Trillion Parameters and GPT-3 with Switch Transformers – a path to AGI?, by Kevin Vu
  4. Nine Tools I Wish I Mastered Before My PhD in Machine Learning, by Aliaksei Mikhailiuk
  5. 20 Machine Learning Projects That Will Get You Hired, by Khushbu Shah

Most Shared Last Week

  1. Path to Full Stack Data Science, by Jawwad Siddique
  2. Teaching AI to Classify Time-series Patterns with Synthetic Data, by Tirthajyoti Sarkar
  3. Data Science Process Lifecycle, by Lillian Pierson, P.E.
  4. How To Build A Database Using Python, by Irfan Alghani Khalid
  5. Surpassing Trillion Parameters and GPT-3 with Switch Transformers – a path to AGI?, by Kevin Vu

Most Popular Tweets Last Week

  1. Amazon applied scientist and #datascientist interview questions - very useful list
  2. 10 Advanced #Python Tricks To Write Faster, Cleaner Code
  3. New #book: Learn to Code in #Python by Solving Problems
  4. How I made $6,000 in 10 minutes using Pandas
  5. How to Learn #MachineLearning from Scratch

Most Popular Past 30 Days

  1. Do You Read Excel Files with Python? There is a 1000x Faster Way, by Nicolas Vandeput
  2. Data Scientists Without Data Engineering Skills Will Face the Harsh Truth, by Soner Yildirim
  3. Nine Tools I Wish I Mastered Before My PhD in Machine Learning, by Aliaksei Mikhailiuk
  4. A Data Science Portfolio That Will Land You The Job, by Natassha Selvaraj
  5. How to Create Stunning Web Apps for your Data Science Projects, by Murallie Thuwarakesh

Most Shared Past 30 Days

  1. The Machine & Deep Learning Compendium Open Book, by Ori Cohen
  2. How to Find Weaknesses in your Machine Learning Models, by Michael Berk
  3. Data Scientists Without Data Engineering Skills Will Face the Harsh Truth, by Soner Yildirim
  4. Path to Full Stack Data Science, by Jawwad Siddique
  5. 8 Deep Learning Project Ideas for Beginners, by Aqsa Zafar
Source: https://www.kdnuggets.com/2021/10/top-news-week-0927-1003.html

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