Category Archives for "Analytics Courses"

Aug 11

Top Knowledge Articles from Top Analytics Blogs

By ganpati | Analytics Courses

Recently we published a list of top big data analytics blogs by traffic. Today I will discuss about some of the best knowledge articles these blogs have published over the past few months. For the convenience of the readers we have arranged these articles by the topics that they represent.

Bayesian Machine Learning, Explained– So you know the Bayes rule. How does it relate to machine learning? It can be quite difficult to grasp how the puzzle pieces fit together – This article is an introduction

10 Algorithm Categories for A.I., Big Data, and Data Science With a focus on leveraging algorithms and balancing human and AI capital, here are the top 10 algorithm categories used to implement A.I., Big Data, and Data Science.

Top 5 arXiv Deep Learning Papers, Explained– Top deep learning papers on arXiv have been presented, summarized, and explained with the help of a leading researcher in the field.

The importance of preprocessing in data science and the machine learning pipeline I: centering, scaling and k-Nearest Neighbours– Data preprocessing is an umbrella term that covers an array of operations data scientists will use to get their data into a form more appropriate for what they want to do with it. It’s a nice article to get started.

The importance of preprocessing in data science and the machine learning pipeline III: scaling your data to combat noise– It discusses the essential place occupied in the data scientific pipeline by preprocessing, in its scaling and centering incarnation, and we have done so to promote a holistic approach to the challenges of machine learning.

Jul 20

Neural Networks for Machine Learning @ Coursera

By ganpati | Analytics Courses

The course is about artificial neural networks and how they’re being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. It’ll emphasize both the basic algorithms and the practical tricks needed to get them to work well.

Here are some more details:
Created by: University of Toronto

Here’s the link to the course: https://www.coursera.org/learn/neural-networks

Jul 17

Microsoft launches data science degree to plug the skills gap, more courses could follow

By ganpati | Analytics Courses

Venturebeat
PAUL SAWERS

Microsoft has unveiled a new degree program as it looks to address the “significant skills gap” that exists in the field of data science.

To kick things off for the pilot phase, Microsoft is offering the Data Science degree, and each of the ten courses in the program are free to access. They include:

Data Science Orientation
Query Relational Data
Analyze and Visualize Data
Understand Statistics
Explore Data with Code
Understand Core Data Science Concepts
Understand Machine Learning
Use Code to Manipulate and Model Data
Develop Intelligent Solutions
Final Project

Microsoft launches data science degree to plug the skills gap, more courses could follow