Data Science Starter Kit
The tools you need to get started with data, from basic statistics to complex modeling and large-scale analytics.
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Architecting for Scale
Designing Interface Animation
React: Up & Running
ReMaking History, Volume 1
Text Mining & Natural Language Understanding at Scale
Budgeting for Your Business
Design in Venture Capital
Hadoop and Spark Performance for the Enterprise
Cash Flow Basics
Getting Started With Raspberry Pi
Functional Programming in Java 8
Deploying with JRuby 9k
The Healthy Workplace
Microsoft Identity Manager 2016 Handbook
Test-Driven Development with Python
Intermediate Python Programming
Understanding Intrusion Detection Systems
Data Visualization in R With ggplot2
The Spark Video Collection: 2016
Automating Adobe Photoshop
CISSP Certification Training: Domain 8
Inheritance and Polymorphism with C++
Securing Enterprise LANs Using the Junos OS
Velocity 2016 - Santa Clara, California: Video Compilation
Advancing from jQuery 2 to jQuery 3
Study Guide for LPIC-2 Exams 201 and 202
Microservices AntiPatterns and Pitfalls
Developing Progressive Web Applications
Building Games with SFML
Mastering Events and Delegates in C#
Angular 2 Deep Dive
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Defensive Security Handbook
Developing an Angular 2 Edge
Storytelling in Design
Designing for Wearables
Designing Voice User Interfaces
The Enterprise Big Data Lake
Mastering Feature Engineering
Introduction to Machine Learning with Python
Getting Started with Cloud Foundry
Prototyping for Designers
Building Products with Data
Efficient R Programming
Finding Value in Data
Reactive Programming with RxJava
The Hitchhiker's Guide to Python
Perspectives on Data Science for Software Engineering
Web Development with Clojure
The Book of R
Pragmatic Guide to Sass 3
Optimizing Java - Free Sample
Developing Reactive Microservices
Learning Modular Java Programming
This kit includes everything you need to get started with data analysis, visualization, and management.
Complete with tutorials, video training and hands-on problem solving—get a solid foundation in machine learning.
This kit was designed for beginners who want to start quickly while gaining a thorough command of the subject.
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