While many companies have embarked on data analytics initiatives, only a few have been successful. Studies have shown that over 70% of data analytics programs fail…Blog Why Data Analytics is Heavy on Data Engineeri 2 Likes Study material for Data Exploration, Data Pr… I came across some process or steps like Data Exploration, Data Pre-Processing and Feature Engineering. I searched so much on google for some good material which can help me to understand that concep… Discussion Study material for Data Exploration, Data Pr… 2 Likes
Q1. What exactly is Hadoop?
A1. Hadoop is a Big Data framework to process huge amount of different types of data in parallel to achieve performance benefits.
Q2. What are 5 Vs of Big…Blog Top Hadoop Interview Questions & Answers 3 Likes Jupyter Notebooks: Fundamentals of Machine L
Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. …Blog Jupyter Notebooks: Fundamentals of Machine L 4 Likes Machine Learning and Deep Learning Textbook -
Another free book to learn Machine Learning. It also comes with a Youtube video series…Blog Machine Learning and Deep Learning Textbook - 3 Likes Cheat Sheet: Data Visualisation in Python Below is a Python for Visualization cheat sheet, originally published here as an infographics. Other cheat sheets about Data Science, Python, Visualization, and R, can be found here. Here are additio… Discussion Cheat Sheet: Data Visualisation in Python 14 Likes What is “The Art of Thinking Like a Data Scie
For over 3 decades, my passion has been to assist organizations leverage the business potential of data and analytics and help them envision where and how data and analytics can generate new…Blog What is “The Art of Thinking Like a Data Scie 4 Likes Picking an Analytic Platform
Picking an Analytic Platform
40+ Modern Tutorials Covering All Aspects of
Summary: Picking an analytic platform when first starting out in data science almost always means working with what we’re most comfortable. But as organizations grow larger…
This list of lists contains books, notebooks, presentations, cheat sheets, and tutorials covering all aspects of data science, machine learning, deep learning, statistics, math, and more, with…Blog 40+ Modern Tutorials Covering All Aspects of 13 Likes Free Book: Getting Started with TensorFlow 2.
By Amita Kapoor and Ajit Jaokar. In this book, we introduce coding with tensorflow 2.0. We show how to develop with tensorflow 1.0 and contrast how the same code can be developed in…Blog Free Book: Getting Started with TensorFlow 2. 3 Likes Tensorflow 2.0 coding workshop notebooks
The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet…Blog Handbook of Research on Predictive Modeling a 1 Like Introductory Guide To Excel
This article is contributed by Atiq Rehman.
What if you’re not an Excel expert? This is your…Blog Introductory Guide To Excel 5 Likes The Math of Machine Learning - Berkeley Unive
This document is an attempt to provide a summary of the mathematical background needed for an introductory class in machine learning, which at UC Berkeley is known as CS 189/289A.
Our…Blog The Math of Machine Learning - Berkeley Unive 3 Likes Free Book: A Comprehensive Guide to Machine L
By Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. Dated June 24, 2019. This is not the…Blog Free Book: A Comprehensive Guide to Machine L 6 Likes
I am presenting at the upcoming NISS (National Institute of Statistical Sciences) webinar on September 27. This was my first employer in US, back in 1996. I was then completing a…Blog Applications of Data Analytics 2 Likes Prasanth Member Prasanth 1 Like Two New Deep Conjectures in Probabilistic Num
The material discussed here is also of interest to machine learning, AI, big data, and data science practitioners, as much of the work is based on heavy data processing, algorithms, efficient…Blog Two New Deep Conjectures in Probabilistic Num 3 Likes Common Errors in Machine Learning due to Poor
Probably the worst error is thinking there is a correlation when that correlation is purely artificial. Take a data set with 100,000 variables, say with 10 observations. Compute all the (99,999 *…Blog Common Errors in Machine Learning due to Poor 5 Likes
I’m thrilled to announce that my…Blog AI for People and Business Book Released! 1 Like
Jupyter notebook content for my OReilly book, the Python Data Science Handbook.
This repository contains the full…Blog Book: Python Data Science Handbook 14 Likes