Data Science, Deep Learning, & Machine Learning with Python

Data Science, Deep Learning, & Machine Learning with Python
English | Size: 3.07 GB
Category: Career

What Will I Learn?

Develop using iPython notebooks
Understand statistical measures such as standard deviation
Visualize data distributions, probability mass functions, and probability density functions
Visualize data with matplotlib
Use covariance and correlation metrics
Apply conditional probability for finding correlated features
Use Bayes’ Theorem to identify false positives
Make predictions using linear regression, polynomial regression, and multivariate regression
Understand complex multi-level models
Use train/test and K-Fold cross validation to choose the right model [Read more…]

Packt Publishing – Basic Statistics and Data Mining for Data Science

Packt Publishing – Basic Statistics and Data Mining for Data Science
English | Size: 1.32 GB
Category: CBTs

This is an application-oriented course with a practical approach. This course discusses situations in which you would use each statistical technique, the assumptions made by the method, how to set up the analysis, and how to interpret the results. No proofs will be derived, but rather the focus will be on the practical matters of data analysis in support of answering research questions.
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Packt Publishing – Machine Learning for Data Science

Packt Publishing – Machine Learning for Data Science
English | Size: 4.39 GB
Category: CBTs

A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.

A 3 hour course that will help you to genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.

Unlock the secrets of understanding Machine Learning for Data Science! In this introductory course, the “Backyard Data Scientist” will guide you through wilderness of Machine Learning for Data Science. This introductory course not only explains Machine Learning, but where it fits in the “techno sphere around us”, why it’s important now, and how it will dramatically change our world today and for days to come. [Read more…]

O’Reilly – Trends in AI, Data Science, and Big Data (2017)

O’Reilly – Trends in AI, Data Science, and Big Data (2017)
English | Size: 0.99 GB
Category: Tutorial

In this video, O’Reilly’s Chief Data Scientist, Ben Lorica highlights some recent research initiatives and trends in data from both the AI community and the big data/data science world. Topics include: the emergence of deep learning as a general-purpose machine learning technique; strategies for overcoming the main bottlenecks in running successful AI/machine learning projects (i.e., lack of training data and deploying/monitoring models in production); the transition from offline to continuous learning (including reinforcement learning); and the emerging software and hardware infrastructure for AI and machine learning. This is a must-view for every data scientist, data architect/engineer, data/business analyst, and manager or CxO who wants to stay current in the rapidly evolving world of big data, data science, and AI. [Read more…]

Packt Publishing – Practical Python Data Science Techniques

Packt Publishing – Practical Python Data Science Techniques
English | Size: 489.80 MB
Category: Tutorial

Data Science is an interdisciplinary field that employs techniques to extract knowledge from data. As one of the fast growing fields in technology, the interest for Data Science is booming, and the demand for specialized talent is on the rise. [Read more…]

Lynda – Scala Fundamentals for Data Science

Lynda – Scala Fundamentals for Data Science
English | Size: 190.91 MB
Category: Tutorial

Discover how to leverage Scala-the popular language that combines object-oriented design with functional programming-in your data science work. In this course, learn about the Scala features most useful to data scientists, including custom functions, parallel processing, and programming Spark with Scala. Dan Sullivan kicks off the course with an introduction for non-Scala programmers. Next, he describes how to use SQL from Scala-a particularly useful concept for data scientists, since they often have to extract data from relational databases. He then covers parallel processing constructs in Scala, sharing techniques that are useful for medium-sized data sets that can be analyzed on a single server with multiple cores. [Read more…]

Lynda – Python for Data Science Tips, Tricks, & Techniques

Lynda – Python for Data Science Tips, Tricks, & Techniques
English | Size: 138.67 MB
Category: Tutorial

Modern work in data science requires skilled professionals versed in analysis workflows and using powerful tools. Python can play an integral role in nearly every aspect of working with data-from ingest, to querying, to extracting and visualizing. This course highlights twelve tips and tricks you can put into practice to improve your skills in Python. These techniques are readily applied and in common data management tasks and include the following: how to ingest data using CSV, JSON, and TXT files; how to explore data using libraries like Pandas; how to organize and join data using DataFrames; how to create charts and graphic representations of data using ggplot in Python; and more. [Read more…]

Future Learn – Introduction to R and Data Science [39 MP4]

Future Learn – Introduction to R and Data Science [39 MP4]
English | Size: 1.77 GB
Category: Tutorial

Work with airline data to learn the fundamentals of the R platform.

We live in a data driven world. So how can we make the most of it? Have you ever wondered how data-driven decisions are made? This course will use airline data to demonstrate key concepts involved in the analysis of big data.
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Intro to Data Science with JS and D3

Intro to Data Science with JS and D3
English | Size: 969.41 MB
Category: CBTs

Intro to Data Science with JS and D3
Tim Garcia
Workshop Date: 03/03/17

Learn to explore and visualize data with JavaScript and D3 [Read more…]

Packt Publishing – Speaking ‘R’ – The Language of Data Science

Packt Publishing – Speaking ‘R’ – The Language of Data Science
English | Size: 625.57 MB
Category: CBTs

In this video course, we start by focusing on R’s similarities with programming languages such as basic/C/C# with loops and conditional tests like if, so that you can feel at home and be productive straight away.

We begin by introducing R and setting things up so that you are ready to go using Rstudio, the associated IDE. Then we look at R as a programming language and see how the standard things are done in it, so you can see that it’s not that different from other programming languages. Next, we introduce some R commands, which are very useful and not as common in traditional languages since manipulating data is more important in R. [Read more…]