KDnuggets™ News 18:n26, July 11: 5 Favorite Free Visualization Tools; SQL Cheat Sheet; Top 20 Python Libraries for Data Science

[unable to retrieve full-text content]Also Introduction to Apache Spark; fast.ai Machine Learning Course Notes; Cartoon: How is Data Science Different From Religion?
Original Post: KDnuggets™ News 18:n26, July 11: 5 Favorite Free Visualization Tools; SQL Cheat Sheet; Top 20 Python Libraries for Data Science

KDnuggets™ News 18:n25, Jun 27: 5 Clustering Algorithms Data Scientists Need to Know; Detecting Sarcasm with Deep Convolutional Neural Networks?

[unable to retrieve full-text content]Also 30 Free Resources for Machine Learning, Deep Learning, NLP ; 7 Simple Data Visualizations You Should Know in R.
Original Post: KDnuggets™ News 18:n25, Jun 27: 5 Clustering Algorithms Data Scientists Need to Know; Detecting Sarcasm with Deep Convolutional Neural Networks?

KDnuggets™ News 18:n24, Jun 20: Data Lakes – The evolution of data processing; Text Generation with RNNs in 4 Lines of Code

[unable to retrieve full-text content]How to spot a beginner Data Scientist; How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning; Statistics, Causality, and What Claims are Difficult to Swallow: Judea Pearl debates Kevin Gray; Cartoon: FIFA World Cup Football and Machine Learning
Original Post: KDnuggets™ News 18:n24, Jun 20: Data Lakes – The evolution of data processing; Text Generation with RNNs in 4 Lines of Code

KDnuggets™ News 18:n22, June 6: 10 More Free Must-Read Books for Machine Learning and Data Science; Beginner Guide to Data Science Pipeline

[unable to retrieve full-text content]Summer. Time to sit back and unwind. Or get your hands on some free machine learning and data science books and learn! Here is a great selection to get started.
Original Post: KDnuggets™ News 18:n22, June 6: 10 More Free Must-Read Books for Machine Learning and Data Science; Beginner Guide to Data Science Pipeline

KDnuggets™ News 18:n21, May 23: Python eats away at R; Top 2018 Analytics, Data Science, Machine Learning tools; 9 Must-have skills for a Data Scientist

[unable to retrieve full-text content]Also How to Implement a YOLO (v3) Object Detector from Scratch in PyTorch; Frameworks for Approaching the Machine Learning Process.
Original Post: KDnuggets™ News 18:n21, May 23: Python eats away at R; Top 2018 Analytics, Data Science, Machine Learning tools; 9 Must-have skills for a Data Scientist

KDnuggets™ News 18:n20, May 16: PyTorch Tensor Basics; Data Science in Finance; Executive Guide to Data Science

[unable to retrieve full-text content]PyTorch Tensor Basics; Top 7 Data Science Use Cases in Finance; The Executive Guide to Data Science and Machine Learning; Data Augmentation: How to use Deep Learning when you have Limited Data
Original Post: KDnuggets™ News 18:n20, May 16: PyTorch Tensor Basics; Data Science in Finance; Executive Guide to Data Science

KDnuggets™ News 18:n19, May 9: KDnuggets Poll: What tools you used for Analytics/Data Science Projects? 8 Useful Advices for Aspiring Data Scientists

[unable to retrieve full-text content]Also: Boost your data science skills. Learn linear algebra; Apache Spark: Python vs. Scala; Getting Started with spaCy for Natural Language Processing.
Original Post: KDnuggets™ News 18:n19, May 9: KDnuggets Poll: What tools you used for Analytics/Data Science Projects? 8 Useful Advices for Aspiring Data Scientists

KDnuggets™ News 18:n18, May 2: Blockchain Explained in 7 Python Functions; Data Science Dirty Secret; Choosing the Right Evaluation Metric

[unable to retrieve full-text content]Also: Building Convolutional Neural Network using NumPy from Scratch; Data Science Interview Guide; Implementing Deep Learning Methods and Feature Engineering for Text Data: The GloVe Model; Jupyter Notebook for Beginners: A Tutorial
Original Post: KDnuggets™ News 18:n18, May 2: Blockchain Explained in 7 Python Functions; Data Science Dirty Secret; Choosing the Right Evaluation Metric

KDnuggets™ News 18:n04, Jan 24: TensorFlow vs XGBoost; Machine Learning Pipelines in Python; Semi-Supervised Machine Learning

[unable to retrieve full-text content]Gradient Boosting in TensorFlow vs XGBoost; Managing Machine Learning Workflows with Scikit-learn Pipelines Part 2; Using Genetic Algorithm for Optimizing Recurrent Neural Networks; The Value of Semi-Supervised Machine Learning; Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI
Original Post: KDnuggets™ News 18:n04, Jan 24: TensorFlow vs XGBoost; Machine Learning Pipelines in Python; Semi-Supervised Machine Learning

KDnuggets™ News 18:n03, Jan 17: Top 10 TED Talks on Data Science, Machine Learning; How Docker Can Help You Become A More Effective Data Scientist

[unable to retrieve full-text content]Also A Primer on Web Scraping in R; Elasticsearch for Dummies; Generative Adversarial Networks, an overview,
Original Post: KDnuggets™ News 18:n03, Jan 17: Top 10 TED Talks on Data Science, Machine Learning; How Docker Can Help You Become A More Effective Data Scientist