“…Create and publish your own interactive and compelling data visualizations with D3.js 4.x About This Book Build interactive and rich graphics and visualization using JavaScript`s powerful library D3.js Learn D3 from the ground up, using the all-new version 4 of the library Gain insight into producing high-quality, extensible charts and visualizations using best practices such as writing testable, extensible code and strong typing Who This Book Is For This book is for web developers, interactive news developers, data scientists, and anyone interested in representing data through interactive visualizations on the Web with D3. …”

“…Leverage the power of Python to clean, scrape, analyze, and visualize your data About This Book Clean, format, and explore your data using the popular Python libraries and get valuable insights from it Analyze big data sets; create attractive visualizations; manipulate and process various data types using NumPy, SciPy, and matplotlib; and more Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex data Who This Book Is For This course is for developers, analysts, and data scientists who want to learn data analysis from scratch. …”

“…Victoria Cox, senior statistician at the United Kingdom’s Defence Science and Technology Laboratory (Dstl), distills the lessons of her long experience presenting the actionable results of complex statistical studies to users of widely varying statistical sophistication across many disciplines: from scientists, engineers, analysts, and information technologists to executives, military personnel, project managers, and officials across UK government departments, industry, academia, and international partners. …”

“…Leverage the power of Julia to design and develop high performing programs About This Book Get to know the best techniques to create blazingly fast programs with Julia Stand out from the crowd by developing code that runs faster than your peers' code Complete an extensive data science project through the entire cycle from ETL to analytics and data visualization Who This Book Is For This learning path is for data scientists and for all those who work in technical and scientific computation projects. …”

“…Illustrate your data in a more interactive way by implementing data visualization principles and creating visual stories using Tableau About This Book Use data visualization principles to help you to design dashboards that enlighten and support business decisions Integrate your data to provide mashed-up dashboards Connect to various data sources and understand what data is appropriate for Tableau Public Understand chart types and when to use specific chart types with different types of data Who This Book Is For Data scientists who have just started using Tableau and want to build on the skills using practical examples. …”

“…The Foundational Hands-On Skills You Need to Dive into Data Science “Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills.” …”

“…This ebook is ideal for engineers, data scientists, and product managers. Build an experimentation platform that includes a robust targeting engine, a telemetry system, a statistics engine, and a management console Dive deep into types of metrics, as well as metric frameworks, including Google’s HEART framework and LinkedIn’s 3-tiered framework Learn best practices for an building experimentation platform, such as A/A testing, power measuring, and an optimal ramp strategy Understand common pitfalls: how users are assigned across variants and control, how data is interpreted, and how metrics impact is understood…”

“…It uses accessible and engaging language to help bring an understanding of the issues with nuclear power to a broader sector of the public, with the intention of appealing to non-scientists seeking knowledge on the disadvantages of nuclear power as a solution for climate change. …”

“…Using hands-on examples, this practical book shows data scientists and data engineers how to build their own knowledge graphs. …”

“…Explore a broad variety of data processing, machine learning, and natural language processing through diagrams, source code, and real-world applications This step-by-step guide will help you solve real-world problems and links neural network theory to their application Who This Book Is For This course is intended for data scientists and Java developers who want to dive into the exciting world of deep learning. …”

“…This phenomenon has been under intense discussion ever since - both in the political arena as well as among scientists. Thereby the somewhat glamorous term new economy reflects the conviction held by its proponents that the use of new technologies will lead to a never ending acceleration of technological progress and economic welfare. …”

“…Better mental models = smarter decisions Understand what's real , so you can act on it How people get "stuck," and what to do about it How obsolete mental models keep you from making changes The neuroscience of mental models What scientists can teach us about perception–and reality Creating new models Practical ways to see things in new ways– fast "Wind and Crook have written a marvelous book that can teach you how to think more effectively in personal and business settings. …”

“…For computer scientists, especially those in the security field, the use of chaos has been limited to the computation of a small collection of famous but unsuitable maps that offer no explanation of why chaos is relevant in the considered contexts. …”

“…Who This Book Is For This course is meant for Java developers who are comfortable developing applications in Java, and now want to enter the world of data science or wish to build intelligent applications. Aspiring data scientists with some understanding of the Java programming language will also find this book to be very helpful. …”

“…It's a complete video recording of the 15 keynotes, 11 tutorials, and 100+ technical sessions delivered at AI SF 2018 by the world's top AI strategists, developers, researchers, and data scientists. Highlights include: Electrifying keynote addresses from AI visionaries such as Kai-Fu Lee (Sinovation Ventures), the former head of Google China, on why China is moving rapidly toward becoming the world's leader in AI applications and from David Patterson (UC Berkeley), the vice-chair of the RISC-V Foundation, on why AI's appetite for co-designed ML-specific chips and supercomputers is creating a new golden age for computer architecture. …”

“…Thousands of the data scientists, analysts, engineers, developers, and executives converged at the Strata Data Conference San Francisco in March 2019 to absorb the insights and wisdom of the data world's best minds. …”

“…Get to grips with building powerful deep learning models using PyTorch and scikit-learn Key Features Learn how you can speed up the deep learning process with one-shot learning Use Python and PyTorch to build state-of-the-art one-shot learning models Explore architectures such as Siamese networks, memory-augmented neural networks, model-agnostic meta-learning, and discriminative k-shot learning Book Description One-shot learning has been an active field of research for scientists trying to develop a cognitive machine that mimics human learning. …”

“…Docker enables your applications to communicate between one another and to compose and scale various components. Data scientists use these techniques to efficiently scale their machine learning models to production applications. …”

“…This course teaches software engineers and data scientists how to build intelligent natural language understanding (NLU) based text mining systems at scale using Java, Scala, and Spark for distributed processing. …”

“…"Putting AI to Work" was the theme of AI San Francisco 2017 and this sold out conference delivered on that theme with more than 100 of the world's top AI researchers, engineers, data scientists, and venture capitalists presenting real-world implementations of AI in medicine, autonomous vehicles, smart phones, voice-based personal assistants, in-store shopping, financial services, media, IoT, and more. …”