Instructors: Management Study Guide | 1 section * 16 lectures * 30m total length
Video: MP4 1280x720 44 KHz | English + Sub | Updated 2/2022 | Size: 360 MB

Instructors: Management Study Guide | 1 section * 11 lectures * 53m total length
Video: MP4 1280x720 44 KHz | English + Sub | Updated 2/2022 | Size: 511 MB

Instructors: Alice Rawsthorne | 6 sections * 33 lectures * 5h 30m total length
Video: MP4 1280x720 44 KHz | English + Sub | Updated 11/2021 | Size: 5.789 GB

Matthew Renze | Duration: 1h 43m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 396 MB | Language: English
Learn how to create advanced data visualizations with R in order to transform your data into actionable insight.
R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for creating a wide variety of data visualizations. In this course, Mastering Data Visualization with R, you will learn how to answer questions about your data by creating advanced data visualizations with R. First, you'll learn how to create and interpret data visualizations that involve spatial data, hierarchical data, graph and network data, and textual data. Then, you'll learn how to create animated data visualizations. Finally, you'll learn how to create web-based interactive data visualizations using a framework called Shiny. By the end of this course, you'll have the skills necessary to create and interpret a variety of data visualizations using R.

Watts Atelier | Duration: 6h 42m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 1,49 GB | Language: English
In this phase you will learn to break the figure down into various "mannequins" and to understand the canons of measurement and proportion. You will also be introduced to the male and female planes, and how to unify your figures using the basic figure abstraction. Terms defined in this phase will become critical for studying and communicating anatomical information later. Students at the Atelier often find the core phases to be the most challenging. We will cover many concepts you must commit to memory through patient practice and repetition. Remember that lessons can be watched as many times as you like. Fasten your seat belts for this phase, it is teaming with great information!
Lessons

Matthew Renze | Duration: 2h 30m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 412 MB | Language: English
Data science is becoming more and more valuable to the workplace and to the global economy. Learn how to use the practice of data science and the programming language R to transform your data into actionable insight.
Data science is the practice of transforming data into knowledge, and R is one of the most popular programming languages used by data scientists. In a data-driven economy, this combination of skills is in extremely high demand, commanding significant increases in salary, as it is revolutionizing the world.

Matthew Renze | Duration: 3h 01m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 541 MB | Language: English
Learn how to create data visualizations with R in order to answer questions about your data.
R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for creating a wide variety of data visualizations. In this course, you will learn how to answer questions about your data by creating data visualizations with R.

Instructors: Henry Zhang, Henry Zhang Support | 1 section * 9 lectures * 48m total length
Video: MP4 1280x720 44 KHz | English + Sub | Updated 11/2021 | Size: 939 MB

9,92 GB



gatunek: Dramat
produkcja: Wielka Brytania

Lockdown zmusza małżeństwo do zastanowienia się nad sobą i swoim związkiem.

Jerry Kurata | Duration: 2h 33m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 334 MB | Language: English
Deep Learning lies at the heart of many leading machine learning and artificial intelligence applications. This course, Deep Learning with Keras, shows you how to use Keras to quickly create powerful deep neural networks.
First, you will dive deep into learning how Keras implements various layers of neurons quickly and easily, with each layer defining the specific functionality needed to implement parts of your solution.