Three new practical books on Data Science/Machine Learning have got published recently. All three are introductory level books taking Hands-on approaches to teach Machine Learning and Data Science toolbox. All three books are great additions to learn Machine Learning with minimal math. Hands-on Machine Learning with R Hands-on Machine Learning with R by Brad Boehmke […]
Data Science
Data Science From Scratch 2nd Edition: Book Review
The second edition of Data Science from Scratch, First Principles with Python from Joel Grus is here (since the summer of 2019). The first edition of the book came about 4-5 years ago when data science as a field was nascent and majority of Python was in 2.7. There are two aspects to learn data […]
10 quick tips for effective dimensionality reduction
Dimensionality reduction techniques like PCA, SVD, tSNE, UMAP are fantastic toolset to perform exploratory data analysis and unsupervised learning with high dimensional data. It has become really easy to use many available dimensionality reduction techniques in both R and Python while doing data science. However, often it can be little bit challenging to interpret low […]
R Graphics Cookbook Second Edition is Available for Free
Winston Chang from RStudio quietly announced last week that the second edition of his popular R Graphics Cookbook: Practical Recipes for Visualizing Data is available now to buy. Not just that, the book is also available online for free at https://r-graphics.org/. Winston Chang’s first edition of R Graphics Cookbook was the first R book I […]
4 Fantastic Data Science-y Books To Look Forward To
If you ask any practicing data scientist for recommendation for a good book to learn data science, you will get too many different useful books. Some may be introductory level, some may be introductory level with a bit of math not just coding, a bit advanced level, and some might be from different domains. It […]