- KDnuggets Top Blogs Rewards for December 2021 - Jan 17, 2022.
The December blogs that won KDnuggets Rewards include: Write Clean Python Code Using Pipes; Building a solid data team; How to Get Certified as a Data Scientist; 3 Tools to Track and Visualize the Execution of Your Python Code; and more.
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- Top December Stories: Write Clean Python Code Using Pipes; Building a solid data team - Jan 15, 2022.
Write Clean Python Code Using Pipes; Building a solid data team; How to Get Certified as a Data Scientist; 3 Tools to Track and Visualize the Execution of Your Python Code.
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- Top Stories, Dec 13-19: Write Clean Python Code Using Pipes - Dec 20, 2021.
Also: 5 Key Skills Needed To Become a Great Data Scientist; A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment; The 5 Characteristics of a Successful Data Scientist; Top Resources for Learning Statistics for Data Science
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- Top 2021 Stories: We Don’t Need Data Scientists, We Need Data Engineers; A Guide On How To Become A Data Scientist (Step By Step Approach); How I Tripled My Income With Data Science in 18 Months - Dec 16, 2021.
Most viewed KDnuggets stories in 2021 focused on Data Scientists vs Data Engineers; How to become a Data Scientist; Increase income with Data Science; Stunning visualizations using python; and more.
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- Top November Stories: Why Machine Learning Engineers are Replacing Data Scientists; 19 Data Science Project Ideas for Beginners - Dec 14, 2021.
Also: Data Scientist Career Path from Novice to First Job; Design Patterns for Machine Learning Pipelines
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- Top Stories, Dec 6-12: Building a solid data team - Dec 13, 2021.
Also: 5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022; How to Get Certified as a Data Scientist; A $9B AI Failure, Examined; AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2021 and Key Trends for 2022
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- Top Stories, Nov 29 – Dec 5: Why Machine Learning Engineers are Replacing Data Scientists - Dec 6, 2021.
Also: How to Get Certified as a Data Scientist; 5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022; Most Common SQL Mistakes on Data Science Interviews; 19 Data Science Project Ideas for Beginners
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- Top Stories, Nov 22-28: Most Common SQL Mistakes on Data Science Interviews - Nov 29, 2021.
Also: 19 Data Science Project Ideas for Beginners; How to Build a Knowledge Graph with Neo4J and Transformers; Data Scientists: How to Sell Your Project and Yourself; Where NLP is heading
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- Top Stories, Nov 15-21: 19 Data Science Project Ideas for Beginners - Nov 23, 2021.
Also: How I Redesigned over 100 ETL into ELT Data Pipelines; Where NLP is heading; Don’t Waste Time Building Your Data Science Network; Data Scientists: How to Sell Your Project and Yourself
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- KDnuggets Top Blogs Rewards for October 2021 - Nov 15, 2021.
The October blogs that won KDnuggets Rewards include: How I Tripled My Income With Data Science in 18 Months; What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; How to Build Strong Data Science Portfolio as a Beginner; Data Scientist vs Data Engineer Salary.
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- Top Stories, Nov 8-14: Don’t Waste Time Building Your Data Science Network - Nov 15, 2021.
Also: Data Scientist Career Path from Novice to First Job; Design Patterns for Machine Learning Pipelines; What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; Salary Breakdown of the Top Data Science Jobs
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- Top October Stories: How I Tripled My Income With Data Science in 18 Months; What Google Recommends You do Before Taking Their ML or DS Course - Nov 11, 2021.
Also: How to Build Strong Data Science Portfolio as a Beginner; Data Science Portfolio Project Ideas That Can Get You Hired (Or Not); Exclusive: OpenAI summarizes KDnuggets
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- Top Stories, Nov 1-7: What Google Recommends You do Before Taking Their Machine Learning or Data Science Course - Nov 8, 2021.
Also: Design Patterns for Machine Learning Pipelines; Data Scientist Career Path from Novice to First Job; Salary Breakdown of the Top Data Science Jobs; ORDAINED: The Python Project Template
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- Top Stories, Oct 25-31: How I Tripled My Income With Data Science in 18 Months; Machine Learning Model Development and Model Operations: Principles and Practices - Nov 1, 2021.
Also: What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; Learn To Reproduce Papers: Beginner’s Guide; 365 Data Science courses free until 18 November; A Guide to 14 Different Data Science Jobs
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- Top Stories, Oct 18-24: How I Tripled My Income With Data Science in 18 Months; Data Science Portfolio Project Ideas That Can Get You Hired (Or Not) - Oct 25, 2021.
Also: Data Scientist vs Data Engineer Salary; The 20 Python Packages You Need For Machine Learning and Data Science; Exclusive: OpenAI summarizes KDnuggets; Real Time Image Segmentation Using 5 Lines of Code
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- Top Stories, Oct 11-17: Query Your Pandas DataFrames with SQL - Oct 18, 2021.
Also: How to Ace Data Science Interview by Working on Portfolio Projects; AutoML: An Introduction Using Auto-Sklearn and Auto-PyTorch; How to Build Strong Data Science Portfolio as a Beginner; 8 Must-Have Git Commands for Data Scientists
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- KDnuggets Top Blogs Rewards for September 2021 - Oct 15, 2021.
The September blogs that earned KDnuggets Rewards include: Do You Read Excel Files with Python? There is a 1000x Faster Way; Data Scientists Without Data Engineering Skills Will Face the Harsh Truth; Path to Full Stack Data Science; Nine Tools I Wish I Mastered Before My PhD in Machine Learning
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- Top Stories, Oct 4-10: How to Build Strong Data Science Portfolio as a Beginner; 38 Free Courses on Coursera for Data Science - Oct 11, 2021.
Also: Data science SQL interview questions from top tech firms; Here’s Why You Need Python Skills as a Machine Learning Engineer; 8 Must-Have Git Commands for Data Scientists; Introduction to PyTorch Lightning
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- Top Stories, Sep 27 – Oct 3: Path to Full Stack Data Science - Oct 4, 2021.
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
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- Top Stories, Sep 20-26: Nine Tools I Wish I Mastered Before My PhD in Machine Learning; How to Find Weaknesses in your Machine Learning Models - Sep 27, 2021.
Also: How to be a Data Scientist without a STEM degree; Data Scientists Without Data Engineering Skills Will Face the Harsh Truth; 20 Machine Learning Projects That Will Get You Hired; How to Find Weaknesses in your Machine Learning Models
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- Top Stories, Sep 13-19: Data Scientists Without Data Engineering Skills Will Face the Harsh Truth; The Machine & Deep Learning Compendium Open Book - Sep 20, 2021.
Also: The Machine & Deep Learning Compendium Open Book; Easy SQL in Native Python; The Prefect Way to Automate & Orchestrate Data Pipelines; A Data Science Portfolio That Will Land You The Job
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- KDnuggets Top Blogs Rewards for August 2021 - Sep 15, 2021.
These top blogs were winners of KDnuggets Top Blog Rewards Program for August: Automate Microsoft Excel and Word Using Python,
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- Top August Stories: Automate Microsoft Excel and Word Using Python; The Difference Between Data Scientists and ML Engineers - Sep 14, 2021.
Automate Microsoft Excel and Word Using Python; The Difference Between Data Scientists and ML Engineers; Most Common Data Science Interview Questions and Answers; 3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks
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- Top Stories, Sep 6-12: Do You Read Excel Files with Python? There is a 1000x Faster Way; 8 Deep Learning Project Ideas for Beginners - Sep 13, 2021.
Also: How to Create Stunning Web Apps for your Data Science Projects; A Data Science Portfolio That Will Land You The Job; Top 18 Low-Code and No-Code Machine Learning Platforms; 8 Deep Learning Project Ideas for Beginners
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- Top Stories, Aug 30 – Sep 5: Do You Read Excel Files with Python? There is a 1000x Faster Way; Hypothesis Testing Explained - Sep 6, 2021.
Also: The Top Industries Hiring Data Scientists in 2021; Hypothesis Testing Explained; Automate Microsoft Excel and Word Using Python; Data Science Cheat Sheet 2.0
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- Top Stories, Aug 23-29: Automate Microsoft Excel and Word Using Python - Aug 30, 2021.
Also Django's 9 Most Common Applications; Learning Data Science and Machine Learning: First Steps after the Roadmap; The Significance of Data-centric AI
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- Top Stories, Aug 16-22: The Difference Between Data Scientists and ML Engineers; Prefect: How to Write and Schedule Your First ETL Pipeline with Python - Aug 23, 2021.
Also: Open Source Datasets for Computer Vision; Prefect: How to Write and Schedule Your First ETL Pipeline with Python; Most Common Data Science Interview Questions and Answers; How to Select an Initial Model for your Data Science Problem.
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- Top July Stories: Data Scientists and ML Engineers Are Luxury Employees - Aug 17, 2021.
Also: Top 6 Data Science Online Courses in 2021; Advice for Learning Data Science from Google's Director of Research; 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist
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- Top Stories, Aug 9-15: The Difference Between Data Scientists and ML Engineers - Aug 16, 2021.
Also: Most Common Data Science Interview Questions and Answers; 3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks; How My Learning Path Changed After Becoming a Data Scientist; MLOPs And Machine Learning RoadMap
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- KDnuggets Top Blogs Rewards for July 2021 - Aug 16, 2021.
These top blogs were winners of KDnuggets Top Blog Rewards Program for July: Data Scientists and ML Engineers Are Luxury Employees; Top 6 Data Science Online Courses in 2021; Advice for Learning Data Science from Google's Director of Research; Pandas not enough? Here are a few good alternatives; A Learning Path To Becoming a Data Scientist; 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist
Tags: Blog Rewards, Top stories
- Top Stories, Aug 2-8: 3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks; Bootstrap a Modern Data Stack in 5 minutes with Terraform - Aug 9, 2021.
Also: Most Common Data Science Interview Questions and Answers; How Visualization is Transforming Exploratory Data Analysis; GitHub Copilot Open Source Alternatives; How To Become A Freelance Data Scientist – 4 Practical Tips
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- Top Stories, Jul 26 – Aug 1: GitHub Copilot Open Source Alternatives; Why and how should you learn “Productive Data Science”? - Aug 2, 2021.
Also: Advice for Learning Data Science from Google’s Director of Research; Design patterns in machine learning; A Brief Introduction to the Concept of Data; 5 Mistakes I Wish I Had Avoided in My Data Science Career
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- Top Stories, Jul 19-25: Top 6 Data Science Online Courses in 2021; 11 Important Probability Distributions Explained - Jul 26, 2021.
Also: Google’s Director of Research Advice for Learning Data Science; Geometric foundations of Deep Learning; How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?; Design patterns in machine learning
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- Top Stories, Jul 12-18: Top 6 Data Science Online Courses in 2021; Become an Analytics Engineer in 90 Days - Jul 19, 2021.
Also: Data Scientists and ML Engineers Are Luxury Employees; Geometric foundations of Deep Learning; How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?; A Learning Path To Becoming a Data Scientist
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- Top June Stories: 5 Tasks To Automate With Python; Data Scientists Will be Extinct in 10 Years - Jul 13, 2021.
5 Tasks To Automate With Python; Data Scientists Will be Extinct in 10 Years: How to Generate Automated PDF Documents with Python; How I Doubled My Income with Data Science and Machine Learning.
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- Top Stories, Jul 5-11: Data Scientists and ML Engineers Are Luxury Employees - Jul 12, 2021.
Also: Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python; A Learning Path To Becoming a Data Scientist; 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist; 5 Python Data Processing Tips & Code Snippets
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- KDnuggets Top Blogs Rewards for June 2021 - Jul 12, 2021.
These top blogs were winners of KDnuggets Top Blog Rewards Program for June: 5 Tasks To Automate With Python; Data Scientists Will be Extinct in 10 Years; How to Generate Automated PDF Documents with Python; How I Doubled My Income with Data Science and Machine Learning; Pandas vs SQL: When Data Scientists Should Use Each Tool; Top 10 Data Science Projects for Beginners.
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- Top Stories, Jun 28 – Jul 4: 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist - Jul 5, 2021.
Also: What will the demand for Data Scientists be in 10 years? Will Data Scientists be extinct?; Add A New Dimension To Your Photos Using Python; Managing Your Reusable Python Code as a Data Scientist; Data Scientists are from Mars and Software Developers are from Venus
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- Top Stories, Jun 21-27: Data Scientists Will be Extinct in 10 Years; Analytics Engineering Everywhere - Jun 28, 2021.
Also: Pandas vs SQL: When Data Scientists Should Use Each Tool; How to Land a Data Analytics Job in 6 Months; What will the demand for Data Scientists be in 10 years? Will Data Scientists be extinct?; How to create an interactive 3D chart and share it easily with anyone
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- Top Stories, Jun 14-20: Data Scientists Will be Extinct in 10 Years - Jun 21, 2021.
Also: Get Interactive Plots Directly With Pandas; How to Generate Automated PDF Documents with Python; Top 10 Data Science Projects for Beginners; Five types of thinking for a high performing data scientist
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- KDnuggets Top Blogs Rewards for May 2021 - Jun 15, 2021.
We announce the winners of the first KDnuggets Top Blog Rewards Program.
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- Top Stories, Jun 7-13: 5 Tasks To Automate With Python; Five types of thinking for a high performing data scientist - Jun 14, 2021.
Also: How to Generate Automated PDF Documents with Python; Five types of thinking for a high performing data scientist; How I Doubled My Income with Data Science and Machine Learning; Top 10 Data Science Projects for Beginners
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- Top May Stories: A Guide On How To Become A Data Scientist; Data Scientist, Data Engineer & Other Data Careers, Explained - Jun 10, 2021.
A Guide On How To Become A Data Scientist; Data Scientist, Data Engineer & Other Data Careers, Explained; Vaex: Pandas but 1000x faster; Data Preparation in SQL, with Cheat Sheet
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- Top Stories, May 31 – Jun 6: A Guide On How To Become A Data Scientist (Step By Step Approach); How I Doubled My Income with Data Science and Machine Learning - Jun 7, 2021.
Also: 5 Tasks To Automate With Python; How I Doubled My Income with Data Science and Machine Learning; Will There Be a Shortage of Data Science Jobs in the Next 5 Years?; How to Make Python Code Run Incredibly Fast
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- Top Stories, May 24-30: A Guide On How To Become A Data Scientist (Step By Step Approach) - May 31, 2021.
Also: Top Programming Languages and Their Uses; Data Scientist, Data Engineer & Other Data Careers, Explained; Vaex: Pandas but 1000x faster; Choosing the Right BI Tool for Your Business
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- Top Stories, May 17-23: Data Scientist, Data Engineer & Other Data Careers, Explained - May 24, 2021.
Also: Vaex: Pandas but 1000x faster; A checklist to track your Data Science progress; How to Determine if Your Machine Learning Model is Overtrained; The Most In Demand Skills for Data Engineers in 2021
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- Top Stories, May 10-16: Essential Linear Algebra for Data Science and Machine Learning - May 17, 2021.
Also: Data Preparation in SQL, with Cheat Sheet!; Best Python Books for Beginners and Advanced Programmers; Similarity Metrics in NLP; The NoSQL Know-It-All Compendium
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- Top April Stories: The Most In-Demand Skills for Data Scientists in 2021 - May 11, 2021.
The Most In-Demand Skills for Data Scientists in 2021; Data Science Books You Should Start Reading in 2021; How to organize your data science project; Shapash: Making Machine Learning Models Understandable.
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- Top Stories, May 3-9: Charticulator: Microsoft Research open-sourced a game-changing Data Visualization platform; Data Preparation in SQL, with Cheat Sheet! - May 10, 2021.
Also: Rebuilding My 7 Python Projects; Applying Python’s Explode Function to Pandas DataFrames; Data Scientist vs Machine Learning Engineer – what are their skills?; XGBoost Explained: DIY XGBoost Library in Less Than 200 Lines of Python
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- Top Stories, Apr 26 – May 2: Data Scientist vs Machine Learning Engineer – what are their skills? - May 3, 2021.
Also: Data Science Books You Should Start Reading in 2021; Data science is not about data – applying Dijkstra principle to data science; How to ace A/B Testing Data Science Interviews; Top 10 Must-Know Machine Learning Algorithms for Data Scientists – Part 1
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- Top Stories, Apr 19-25: How to organize your data science project in 2021; Data Science Books You Should Start Reading in 2021 - Apr 26, 2021.
Also: How to ace A/B Testing Data Science Interviews; Top 10 Must-Know Machine Learning Algorithms for Data Scientists – Part 1; The Most In-Demand Skills for Data Scientists in 2021; Free From Stanford: Machine Learning with Graphs
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- Top Stories, Apr 12-18: The Most In-Demand Skills for Data Scientists in 2021 - Apr 19, 2021.
Also: Top 3 Statistical Paradoxes in Data Science; A/B Testing: 7 Common Questions and Answers in Data Science Interviews, Part 2; ETL in the Cloud: Transforming Big Data Analytics with Data Warehouse Automation; Essential Math for Data Science: Linear Transformation with Matrices
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- Top March Stories: Are You Still Using Pandas to Process Big Data in 2021? Here are two better options; How To Overcome The Fear of Math and Learn Math For Data Science - Apr 13, 2021.
Also: Top YouTube Channels for Data Science; More Data Science Cheatsheets; Top 10 Python Libraries Data Scientists should know in 2021.
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- Top Stories, Apr 5-11: Awesome Tricks And Best Practices From Kaggle; How to deploy Machine Learning/Deep Learning models to the web - Apr 12, 2021.
Also: Shapash: Making Machine Learning Models Understandable; A/B Testing: 7 Common Questions and Answers in Data Science Interviews, Part 2; How to deploy Machine Learning/Deep Learning models to the web; Working With Time Series Using SQL
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- Top Stories, Mar 29 – Apr 4: Top 10 Python Libraries Data Scientists should know in 2021; Shapash: Making Machine Learning Models Understandable - Apr 5, 2021.
Also: The 8 Most Common Data Scientists; Easy AutoML in Python; How to Succeed in Becoming a Freelance Data Scientist; The 8 Most Common Data Scientists
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- Top Stories, Mar 22-28: How to Succeed in Becoming a Freelance Data Scientist - Mar 29, 2021.
Also: Top 10 Python Libraries Data Scientists should know in 2021; More Data Science Cheatsheets; The Portfolio Guide for Data Science Beginners; The Best Machine Learning Frameworks & Extensions for Scikit-learn
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- Top Stories, Mar 15-21: More Data Science Cheatsheets - Mar 22, 2021.
Also: How To Overcome The Fear of Math and Learn Math For Data Science; Know your data much faster with the new Sweetviz Python library; Introducing dbt, the ETL and ELT Disrupter; Must Know for Data Scientists and Data Analysts: Causal Design Patterns
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- Top Stories, Mar 8-14: How To Overcome The Fear of Math and Learn Math For Data Science - Mar 15, 2021.
Also: Know your data much faster with the new Sweetviz Python library; Must Know for Data Scientists and Data Analysts: Causal Design Patterns; Are You Still Using Pandas to Process Big Data in 2021? Here are two better options; 3 Mathematical Laws Data Scientists Need To Know
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- Top February Stories: We Don’t Need Data Scientists, We Need Data Engineers; How to create stunning visualizations using python from scratch - Mar 11, 2021.
Also: How to Get Your First Job in Data Science without Any Work Experience; Telling a Great Data Story: A Visualization Decision Tree
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- Top Stories, Mar 1-7: Top YouTube Channels for Data Science - Mar 8, 2021.
Also: Are You Still Using Pandas to Process Big Data in 2021? Here are two better options; 3 Mathematical Laws Data Scientists Need To Know; Google’s Model Search is a New Open Source Framework that Uses Neural Networks to Build Neural Networks; Machine Learning Systems Design: A Free Stanford Course
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- Top Stories, Feb 22-28: We Don’t Need Data Scientists, We Need Data Engineers; Data Science Learning Roadmap for 2021 - Mar 1, 2021.
Also: Powerful Exploratory Data Analysis in just two lines of code; Machine Learning Systems Design: A Free Stanford Course; Telling a Great Data Story: A Visualization Decision Tree
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- Top Stories, Feb 15-21: We Don’t Need Data Scientists, We Need Data Engineers - Feb 22, 2021.
Also: Telling a Great Data Story: A Visualization Decision Tree; Cartoon: Data Scientist vs Data Engineer; Data Science vs Business Intelligence, Explained; Approaching (Almost) Any Machine Learning Problem
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- Top Stories, Feb 08-14: How to create stunning visualizations using python from scratch; Data Science vs Business Intelligence, Explained - Feb 15, 2021.
Also: The Best Data Science Project to Have in Your Portfolio; How to Get Your First Job in Data Science without Any Work Experience; How to Get Data Science Interviews: Finding Jobs, Reaching Gatekeepers, and Getting Referrals
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- Top January Stories: How I Got 4 Data Science Offers and Doubled My Income 2 Months After Being Laid Off; Best Python IDEs and Code Editors You Should Know - Feb 10, 2021.
Also: All Machine Learning Algorithms You Should Know in 2021; DeepMind's MuZero is One of the Most Important Deep Learning Systems Ever Created
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- Top Stories, Feb 1-7: How to create stunning visualizations using python from scratch; How to Get Your First Job in Data Science without Any Work Experience - Feb 8, 2021.
Also: Build Your First Data Science Application; 3 Ways Understanding Bayes Theorem Will Improve Your Data Science; Deep learning doesn’t need to be a black box; Essential Math for Data Science: Introduction to Matrices and the Matrix Product
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- Top Stories, Jan 25-31: Want to Be a Data Scientist? Don’t Start With Machine Learning; The Ultimate Scikit-Learn Machine Learning Cheatsheet - Feb 1, 2021.
Also: How I Got 4 Data Science Offers and Doubled my Income 2 Months After Being Laid Off; How to Get a Job as a Data Scientist; Data Engineering — the Cousin of Data Science, is Troublesome; What to Learn to Become a Data Scientist in 2021
Tags: Top stories
- Top Stories, Jan 18-24: How I Got 4 Data Science Offers and Doubled my Income 2 Months After Being Laid Off; Cloud Computing, Data Science and ML Trends in 2020–2022: The battle of giants - Jan 25, 2021.
Also: Data Engineering — the Cousin of Data Science, is Troublesome; Build a Data Science Portfolio that Stands Out Using These Platforms; K-Means 8x faster, 27x lower error than Scikit-learn in 25 lines; Popular Machine Learning Interview Questions
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- Top Stories, Jan 11-17: K-Means 8x faster, 27x lower error than Scikit-learn in 25 lines; My Data Science Learning Journey So Far - Jan 18, 2021.
Also: Essential Math for Data Science: Information Theory; Cleaner Data Analysis with Pandas Using Pipes; The Four Jobs of the Data Scientist
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- Top Stories, Jan 04-10: Best Python IDEs and Code Editors You Should Know; All Machine Learning Algorithms You Should Know in 2021 - Jan 11, 2021.
Also: DeepMind’s MuZero is One of the Most Important Deep Learning Systems Ever Created; 10 Underappreciated Python Packages for Machine Learning Practitioners; Six Tips on Building a Data Science Team at a Small Company
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- Top December Stories: Why the Future of ETL Is Not ELT, But EL(T); 20 Core Data Science Concepts for Beginners - Jan 7, 2021.
Also: A Rising Library Beating Pandas in Performance; 15 Free Data Science, Machine Learning & Statistics eBooks for 2021
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- Top Stories, Dec 21 – Jan 03: Monte Carlo integration in Python; 15 Free Data Science, Machine Learning & Statistics eBooks for 2021 - Jan 4, 2021.
Also: SQL vs NoSQL: 7 Key Takeaways; Generating Beautiful Neural Network Visualizations; Meet whale! The stupidly simple data discovery tool; Key Data Science Algorithms Explained: From k-means to k-medoids clustering
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- Top Stories, Dec 14-20: Crack SQL Interviews; State of Data Science and Machine Learning 2020: 3 Key Findings - Dec 24, 2020.
Also: A Rising Library Beating Pandas in Performance; 20 Core Data Science Concepts for Beginners; How to Create Custom Real-time Plots in Deep Learning; 10 Python Skills They Don’t Teach in Bootcamp
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- Top 2020 Stories: 24 Best (and Free) Books To Understand Machine Learning; If I had to start learning Data Science again, how would I do it? - Dec 17, 2020.
Also: Know What Employers are Expecting for a Data Scientist Role in 2020; Top Python Libraries for Data Science, Data Visualization & Machine Learning.
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- Top Stories, Dec 7-13: 20 Core Data Science Concepts for Beginners - Dec 14, 2020.
Also: A Rising Library Beating Pandas in Performance; Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology; R or Python? Why Not Both?; Artificial Intelligence in Modern Learning System : E-Learning; Essential Math for Data Science: Probability Density and Probability Mass Functions
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- Top November Stories: Top Python Libraries for Data Science, Data Visualization & Machine Learning; The Best Data Science Certification You’ve Never Heard Of - Dec 8, 2020.
Also: TabPy: Combining Python and Tableau; How to Acquire the Most Wanted Data Science Skills.
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- Top Stories, Nov 30 – Dec 6: Why the Future of ETL Is Not ELT, But EL(T) - Dec 7, 2020.
Also: AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021; Introduction to Data Engineering; Data Science History and Overview; Introduction to Data Engineering; Object-Oriented Programming Explained Simply for Data Scientists
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- Top Stories, Nov 23-29: TabPy: Combining Python and Tableau; The Rise of the Machine Learning Engineer - Nov 30, 2020.
Also: Learn Deep Learning with this Free Course from Yann LeCun; Know-How to Learn Machine Learning Algorithms Effectively; 15 Exciting AI Project Ideas for Beginners; How to Get Into Data Science Without a Degree
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- Top Stories, Nov 16-22: How to Get Into Data Science Without a Degree - Nov 23, 2020.
Also: Top Python Libraries for Deep Learning, Natural Language Processing & Computer Vision; Facebook Open Sourced New Frameworks to Advance Deep Learning Research; 5 Most Useful Machine Learning Tools every lazy full-stack data scientist should use; Top Python Libraries for Deep Learning, Natural Language Processing & Computer Vision; Is Data Science for Me? 14 Self-examination Questions to Consider
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- Top Stories, Nov 9-15: How to Acquire the Most Wanted Data Science Skills; From Y=X to Building a Complete Artificial Neural Network - Nov 16, 2020.
Also: Learn to build an end to end data science project; How to Acquire the Most Wanted Data Science Skills; Moving from Data Science to Machine Learning Engineering; Learn to build an end to end data science project; DIY Election Fraud Analysis Using Benford's Law
Tags: Top stories
- Top October Stories: Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science; fastcore: An Underrated Python Library - Nov 10, 2020.
Also: Goodhart's Law for Data Science and what happens when a measure becomes a target? How to become a Data Scientist: a step-by-step guide; 10 Best Machine Learning Courses in 2020.
Tags: Top stories
- Top Stories, Nov 2-8: Top Python Libraries for Data Science, Data Visualization & Machine Learning; The Best Data Science Certification You’ve Never Heard Of - Nov 9, 2020.
Also: Top 5 Free Machine Learning and Deep Learning eBooks Everyone should read; Pandas on Steroids: End to End Data Science in Python with Dask; Essential data science skills that no one talks about; DIY Election Fraud Analysis Using Benford's Law
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- Top Stories, Oct 26 – Nov 1: How to become a Data Scientist: a step-by-step guide; PerceptiLabs — A GUI and Visual API for TensorFlow - Nov 3, 2020.
Also: Ain't No Such a Thing as a Citizen Data Scientist; Building Neural Networks with PyTorch in Google Colab.
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- Top Stories, Oct 19-25: How to Explain Key Machine Learning Algorithms at an Interview; Roadmap to Natural Language Processing - Oct 26, 2020.
Also: Roadmap to Natural Language Processing (NLP); 5 Must-Read Data Science Papers (and How to Use Them); DeepMind Relies on this Old Statistical Method to Build Fair Machine Learning Models; Good-bye Big Data. Hello, Massive Data!
Tags: Top stories
- Top Stories, Oct 12-18: fastcore: An Underrated Python Library; Free From MIT: Intro to Computational Thinking and Data Science - Oct 19, 2020.
Also: Software Engineering Tips and Best Practices for Data Science; 5 Best Practices for Putting Machine Learning Models Into Production; Goodhart's Law for Data Science and what happens when a measure becomes a target?; Text Mining with R: The Free eBook
Tags: Top stories
- Top September Stories: Free From MIT: Intro to Computer Science and Programming in Python; Best Online MS in AI, Analytics, Data Science, Machine Learning - Oct 13, 2020.
Also: Introduction to Time Series Analysis in Python; Automating Every Aspect of Your Python Project
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- Top Stories, Oct 5-11: A step-by-step guide for creating an authentic data science portfolio project; 10 Best Machine Learning Courses in 2020 - Oct 12, 2020.
Also: Free Introductory Machine Learning Course From Amazon; How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems; A step-by-step guide for creating an authentic data science portfolio project; Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science
Tags: Top stories
- Top Stories, Sep 28 – Oct 4: Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science - Oct 5, 2020.
Also: The Best Free Data Science eBooks: 2020 Update; International alternatives to Kaggle for Data Science / Machine Learning competitions; Geographical Plots with Python; Introduction to Time Series Analysis in Python; Comparing the Top Business Intelligence Tools: Power BI vs Tableau vs Qlik vs Domo
Tags: Top stories
- Top Stories, Sep 21-27: Introduction to Time Series Analysis in Python; Machine Learning from Scratch: Free Online Textbook - Sep 28, 2020.
Also: How I Consistently Improve My Machine Learning Models From 80% to Over 90% Accuracy; I'm a Data Scientist, Not Just The Tiny Hands that Crunch your Data; New Poll: What Python IDE / Editor you used the most in 2020?; The Most Complete Guide to PyTorch for Data Scientists
Tags: Top stories
- Top Stories, Sep 14-20: Automating Every Aspect of Your Python Project; Deep Learning’s Most Important Ideas - Sep 21, 2020.
Also: Statistics with Julia: The Free eBook; Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities; Autograd: The Best Machine Learning Library You're Not Using?; Implementing a Deep Learning Library from Scratch in Python
Tags: Top stories
- Top Stories, Sep 7-13: Free From MIT: Intro to Computer Science and Programming in Python - Sep 14, 2020.
Also: Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills; AI Papers to Read in 2020; A Deep Learning Dream: Accuracy and Interpretability in a Single Model; Creating Powerful Animated Visualizations in Tableau; 8 AI/Machine Learning Projects To Make Your Portfolio Stand Out
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- Top August Stories: Know What Employers are Expecting for a Data Scientist Role in 2020; If I had to start learning Data Science again, how would I do it? - Sep 11, 2020.
Also: Netflix's Polynote is a New Open Source Framework to Build Better Data Science Notebooks; Must-read NLP and Deep Learning articles for Data Scientists.
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- Top Stories, Aug 31 – Sep 6: Top Online Masters in Analytics, Business Analytics, Data Science – Updated - Sep 7, 2020.
Also: How to Evaluate the Performance of Your Machine Learning Model; Which methods should be used for solving linear regression?; A Curious Theory About the Consciousness Debate in AI; If I had to start learning Data Science again, how would I do it?; PyCaret 2.1 is here: Whats new?
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- Top Stories, Aug 24-30: If I had to start learning Data Science again, how would I do it?; 4 ways to improve your TensorFlow model – key regularization techniques you need to know - Aug 31, 2020.
Also: The NLP Model Forge: Generate Model Code On Demand; DeepMinds Three Pillars for Building Robust Machine Learning Systems; Beyond the Turing Test; Must-read NLP and Deep Learning articles for Data Scientists; How to Optimize Your CV for a Data Scientist Career
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- Top Stories, Aug 17-23: If I had to start learning Data Science again, how would I do it? - Aug 24, 2020.
Also: Must-read NLP and Deep Learning articles for Data Scientists; Top Google AI, Machine Learning Tools for Everyone; Introduction to Federated Learning; Must-read NLP and Deep Learning articles for Data Scientists; These Data Science Skills will be your Superpower
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- Top Stories, Aug 10-16: Know What Employers are Expecting for a Data Scientist Role in 2020; The List of Top 10 Lists in Data Science - Aug 17, 2020.
Also: 5 Different Ways to Load Data in Python; Facebook Uses Bayesian Optimization to Conduct Better Experiments in Machine Learning Models; Exploring GPT-3: A New Breakthrough in Language Generation; Unit Test Your Data Pipeline, You Will Thank Yourself Later; Going Beyond Superficial: Data Science MOOCs with Substance
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- Top July Stories: Data Science MOOCs are too Superficial - Aug 11, 2020.
Also: A Layman's Guide to Data Science. Part 3: Data Science Workflow; The Bitter Lesson of Machine Learning; Free MIT Courses on Calculus: The Key to Understanding Deep Learning.
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- Top Stories, Aug 3-9: Know What Employers are Expecting for a Data Scientist Role in 2020 - Aug 10, 2020.
Netflix's Polynote is a New Open Source Framework to Build Better Data Science Notebooks; Metrics to Use to Evaluate Deep Learning Object Detectors; Setting Up Your Data Science & Machine Learning Capability in Python; Which Data Science Skills are core and which are hot/emerging ones?
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- Top Stories, Jul 27 – Aug 2: Computational Linear Algebra for Coders; Awesome Machine Learning and AI Courses - Aug 3, 2020.
Also: Essential Resources to Learn Bayesian Statistics; Deep Learning for Signal Processing: What You Need to Know; A Tour of End-to-End Machine Learning Platforms; I have a joke about …; First Steps of a Data Science Project
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- Top Stories, Jul 20-26: Data Science MOOCs are too Superficial - Jul 27, 2020.
Also: Easy Guide To Data Preprocessing In Python; Data Mining and Machine Learning: Fundamental Concepts and Algorithms: The Free eBook; Recurrent Neural Networks (RNN): Deep Learning for Sequential Data; How Much Math do you need in Data Science?
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- Top Stories, Jul 13-19: The Bitter Lesson of Machine Learning - Jul 20, 2020.
Also: 3 Advanced Python Features You Should Know; Understanding How Neural Networks Think; Free MIT Courses on Calculus: The Key to Understanding Deep Learning; How Much Math do you need in Data Science?
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- Top Stories, Jul 6-12: A Layman’s Guide to Data Science Workflow; Free MIT Courses on Calculus: The Key to Understanding Deep Learning - Jul 13, 2020.
Top Stories post excerpt: Also: A Complete Guide To Survival Analysis In Python, part 1; PyTorch for Deep Learning: The Free eBook; Exploratory Data Analysis on Steroids
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- Top June Stories: How Much Math do you need in Data Science? Easy Speech-to-Text with Python - Jul 10, 2020.
Also: Deep Neural Networks and the Jennifer Aniston Neuron; Don't Democratize Data Science.
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- Top Stories, Jun 29 – Jul 5: Speed up your Numpy and Pandas with NumExpr Package; Deploy Machine Learning Pipeline on AWS Fargate - Jul 6, 2020.
Also: Getting Started with TensorFlow 2; An Introduction to Statistical Learning: The Free eBook; How Much Math do you need in Data Science?; Data Cleaning: The secret ingredient to the success of any Data Science Project
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- Top Stories, Jun 22-28: How Much Math do you need in Data Science? - Jun 29, 2020.
Also: 4 Free Math Courses to do and Level up your Data Science Skills; Exploring the Real World of Data Science; Learning by Forgetting: Deep Neural Networks and the Jennifer Aniston Neuron; A TensorFlow Modeling Pipeline Using TensorFlow Datasets and TensorBoard
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- Top Stories, Jun 15-21: Easy Speech-to-Text with Python; A Complete guide to Google Colab for Deep Learning - Jun 22, 2020.
Also: Uber's Ludwig is an Open Source Framework for Low-Code Machine Learning; Understanding Machine Learning: The Free eBook; Best Machine Learning Youtube Videos Under 10 Minutes; The Most Important Fundamentals of PyTorch you Should Know
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- Top Stories, Jun 8-14: Easy Speech-to-Text with Python; Natural Language Processing with Python: The Free eBook - Jun 15, 2020.
Also: Five Cognitive Biases In Data Science (And how to avoid them); Deploy a Machine Learning Pipeline to the Cloud Using a Docker Container; Naive Bayes Algorithm: Everything you need to know; The Best NLP with Deep Learning Course is Free
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- Top May Stories: The Best NLP with Deep Learning Course is Free - Jun 10, 2020.
Also: How to Think Like a Data Scientist; Python For Everybody: The Free eBook; Automated Machine Learning: The Free eBook.
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- Top Stories, Jun 1-7: Don’t Democratize Data Science; Deep Learning for Coders with fastai and PyTorch: The Free eBook - Jun 8, 2020.
Also: Deep Learning for Detecting Pneumonia from X-ray Images; From Languages to Information: Another Great NLP Course from Stanford; Skills to Build for Data Engineering; If you had to start statistics all over again, where would you start?
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- Top Stories, May 25-31: Python For Everybody: The Free eBook; Interactive Machine Learning Experiments - Jun 1, 2020.
Also: Dataset Splitting Best Practices in Python; 10 Useful Machine Learning Practices For Python Developers; How to Think Like a Data Scientist or Data Analyst; The Best NLP with Deep Learning Course is Free
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- Top Stories, May 18-24: The Best NLP with Deep Learning Course is Free - May 25, 2020.
Also: Automated Machine Learning: The Free eBook; Sparse Matrix Representation in Python; Build and deploy your first machine learning web app; Complex logic at breakneck speed: Try Julia for data science
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- Top Stories, May 11-17: Start Your Machine Learning Career in Quarantine; AI and Machine Learning for Healthcare - May 18, 2020.
Also: Satellite Image Analysis with fast.ai for Disaster Recovery; Machine Learning in Power BI using PyCaret; Deep Learning: The Free eBook; 24 Best (and Free) Books To Understand Machine Learning
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- Top Stories, May 4-10: Deep Learning: The Free eBook; Beginners Learning Path for Machine Learning - May 11, 2020.
Also: How use the Coronavirus crisis to kickstart your Data Science career; 5 Concepts You Should Know About Gradient Descent and Cost Function; Five Cool Python Libraries for Data Science; Natural Language Processing Recipes: Best Practices and Examples
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- Top April Stories: Mathematics for Machine Learning: The Free eBook; The Super Duper NLP Repo: 100 Ready-to-Run Colab Notebooks, - May 8, 2020.
Also: Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs; The Super Duper NLP Repo: 100 Ready-to-Run Colab Notebooks; Five Cool Python Libraries for Data Science.
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- Top Stories, Apr 27 – May 3: Five Cool Python Libraries for Data Science; Natural Language Processing Recipes: Best Practices and Examples - May 4, 2020.
Also: Coronavirus COVID-19 Genome Analysis using Biopython; LSTM for time series prediction; A Concise Course in Statistical Inference: The Free eBook; Exploring the Impact of Geographic Information Systems
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- Top Stories, Apr 20-26: The Super Duper NLP Repo; Free High-Quality Machine Learning & Data Science Books & Courses - Apr 27, 2020.
Also: Should Data Scientists Model COVID19 and other Biological Events; 5 Papers on CNNs Every Data Scientist Should Read; 24 Best (and Free) Books To Understand Machine Learning; Mathematics for Machine Learning: The Free eBook; Find Your Perfect Fit: A Quick Guide for Job Roles in the Data World
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- Top Stories, Apr 13-19: Can Java Be Used for Machine Learning and Data Science?; How Deep Learning is Accelerating Drug Discovery in Pharmaceuticals - Apr 20, 2020.
Also: Peer Reviewing Data Science Projects; Visualizing Decision Trees with Python (Scikit-learn, Graphviz, Matplotlib); Can Java Be Used for Machine Learning and Data Science?; Mathematics for Machine Learning: The Free eBook; 24 Best (and Free) Books To Understand Machine Learning
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- Top Stories, Apr 6-12: Mathematics for Machine Learning: The Free eBook; 10 Must-read Machine Learning Articles (March 2020) - Apr 13, 2020.
Also: Top KDnuggets tweets, Apr 01-07: How to change global policy on #coronavirus; 5 Ways Data Scientists Can Help Respond to COVID-19 and 5 Actions to Avoid; How to Do Hyperparameter Tuning on Any Python Script in 3 Easy Steps; COVID-19 Visualized: The power of effective visualizations for pandemic storytelling
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- Top March stories: 24 Best (and Free) Books To Understand Machine Learning; COVID-19 Visualized: The power of effective visualizations; 20 AI, DS, ML terms you need to know - Apr 9, 2020.
Also: 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2); Linear to Logistic Regression, Explained Step by Step.
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- Top Stories, Mar 30 – Apr 5: COVID-19 Visualized: The power of effective visualizations for pandemic storytelling; Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs - Apr 6, 2020.
Also: How (not) to use Machine Learning for time series forecasting: The sequel; Best Free Epidemiology Courses for Data Scientists; Research into 1,001 Data Scientist LinkedIn Profiles, the latest; How (not) to use Machine Learning for time series forecasting: The sequel; Stop Hurting Your Pandas!
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- Top Stories, Mar 23-29: 24 Best (and Free) Books To Understand Machine Learning; COVID-19 Visualized: The power of effective visualizations for pandemic storytelling - Mar 30, 2020.
Also: Coronavirus Data and Poll Analysis – yes, there is hope, if we act now; Making sense of ensemble learning techniques; Nine lessons learned during my first year as a Data Scientist; Deep Learning Breakthrough: a sub-linear deep learning algorithm that does not need a GPU?
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- Top Stories, Mar 16-22: 24 Best (and Free) Books To Understand Machine Learning - Mar 23, 2020.
Also: Time Series Classification Synthetic vs Real Financial Time Series; Nine lessons learned during my first year as a Data Scientist; What is the most effective policy response to the new coronavirus pandemic?; Nine lessons learned during my first year as a Data Scientist; Five Interesting Data Engineering Projects
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- Top Stories, Mar 9-15: New Poll: Coronavirus impact on Data Science community; Covid-19, your community, and you — a data science perspective - Mar 16, 2020.
Also: 50 Must-Read Free Books For Every Data Scientist in 2020; Decision Boundary for a Series of Machine Learning Models; 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)
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- Top Stories, Mar 2-8: 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2) - Mar 9, 2020.
Also: Linear to Logistic Regression, Explained Step by Step; Trends in Machine Learning in 2020; Tokenization and Text Data Preparation with TensorFlow & Keras; The Death of Data Scientists — will AutoML replace them?
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- Top February Stories: The Death of Data Scientists – will AutoML replace them? - Mar 6, 2020.
Also: Learning from 3 big Data Science career mistakes; Leaders, Changes, and Trends in Gartner 2020 MQ Data Science and Machine Learning Platforms; Why Did I Reject a Data Scientist Job; Free Mathematics Courses for Data Science & Machine Learning.
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- Top Stories, Feb 24 – Mar 1: Learning from 3 big Data Science career mistakes; Free Mathematics Courses for Data Science & Machine Learning - Mar 2, 2020.
Also: The Death of Data Scientists — will AutoML replace them?; Probability Distributions in Data Science; The Big Bad NLP Database: Access Nearly 300 Datasets;; Leaders, Changes, and Trends in Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms; New Poll: When Will AutoML Replace Data Scientists (if ever)?
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- Top Stories, Feb 17-23: The Death of Data Scientists will AutoML replace them? - Feb 24, 2020.
Also: 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1); Audio Data Analysis Using Deep Learning with Python (Part 1); Hand labeling is the past. The future is #NoLabel AI; Googles Data Science Interview Brain Teasers
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- Top Stories, Feb 10-16: Why Did I Reject a Data Scientist Job?; Fourier Transformation for a Data Scientist - Feb 17, 2020.
Also: Math for Programmers – your guide for solving math problems in code; What Does it Mean to Deploy a Machine Learning Model?; Deep Neural Networks; Easy Image Dataset Augmentation with TensorFlow; Intent Recognition with BERT using Keras and TensorFlow 2
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- Top January Stories: How to land a Data Scientist job at your dream company; I wanna be a data scientist, but … how? - Feb 11, 2020.
Also: The Book to Start You on Machine Learning; Top 5 must-have Data Science skills for 2020.
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- Top Stories, Jan 27 – Feb 2: How to land a Data Scientist job at your dream company; How to Optimize Your Jupyter Notebook - Feb 3, 2020.
Also: Data Validation for Machine Learning; OpenAI is Adopting PyTorch… They Aren’t Alone; I wanna be a data scientist, but how?; Top 10 AI, Machine Learning Research Articles to know; Google Dataset Search Provides Access to 25 Million Datasets
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- Top Stories, Jan 20-26: I wanna be a data scientist, but how? - Jan 27, 2020.
Also: Microsoft Introduces Project Petridish to Find the Best Neural Network for Your Problem; 10 Python String Processing Tips & Tricks; Random Forest — A Powerful Ensemble Learning Algorithm; Top 10 Technology Trends for 2020; The Book to Start You on Machine Learning
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