LinkedIn

Linkedin Learning – Applied Machine Learning Feature Engineering Online Class

Linkedin Learning – Applied Machine Learning Feature Engineering Online Class-ZH
English | Size: 342.18 MB
Category: Tutorial


The quality of the predictions coming out of your machine learning model is a direct reflection of the data you feed it during training. Feature engineering helps you extract every last bit of value out of data. This course provides the tools to take a data set, tease out the signal, and throw out the noise in order to optimize your models. The concepts generalize to nearly any kind of machine learning algorithm. Instructor Derek Jedamski provides a refresher on machine learning basics and a thorough introduction to feature engineering. He explores continuous and categorical features and shows how to clean, normalize, and alter them. Learn how to address missing values, remove outliers transform data, create indicators, and convert features. In the final chapters, Derek explains how to prepare features for modeling and provides four variations for comparison, so you can evaluate the impact of cleaning, transforming, and creating features through the lens of model performance

Linkedin Learning – Employer Branding on LinkedIn

Linkedin Learning – Employer Branding on LinkedIn-ZH
English | Size: 124.88 MB
Category: Tutorial


Is your company active on LinkedIn? Are your employees? Does the content you share accurately reflect your organization’s brand? By taking the time to optimize your presence on LinkedIn, you can attract talent, build your credibility, and promote your business. In this course, join LinkedIn expert Viveka von Rosen as she demonstrates how to build an effective and consistent company brand on LinkedIn. Viveka shows how to build a strong page, tell your story, share your culture, and turn employees into brand advocates that can help spread your message. Plus, learn best practices for driving engagement and creating content that amplifies your brand on LinkedIn.

Linkedin Learning – COBIT Online Class

Linkedin Learning – COBIT Online Class-ZH
English | Size: 210.16 MB
Category: Tutorial


The COBIT framework offers a tailored approach to creating a governance and management framework for enterprise information and technology systems. It helps balance value and compliance aligning the business and IT so that everyone is working towards the same goals. Learn the basics of COBIT and what it can do for your organization, as well as some tips for achieving COBIT certification, in this course with IT consultant and trainer Mark Thomas. Mark covers the principles, concepts, and key components of the latest version of the framework, COBIT 2019, and provides practical advice on how to adopt and adapt COBIT to your unique organization. Using this guide, you will be able to understand the features and benefits of the framework and begin the process of adoption, from designing a tailored governance system to measuring its performance. Along the way, you can explore the various training and certification paths in the COBIT portfolio

Linkedin Learning – Engineering Drawings for Manufacturing

Linkedin Learning – Engineering Drawings for Manufacturing-ZH
English | Size: 486.73 MB
Category: Tutorial


Preparing clear, complete engineering drawings is a critical skill for nearly every design engineer. New engineers have traditionally had to learn drafting skills on the job, usually by trial and error. This course teaches the practical skills needed to independently prepare clear drawings that satisfy industry standards. For the learner, this course can increase marketability and reduce frustration during the first months of a new career. For the employer, this course can reduce the time required to train new engineers and decrease the potential for costly mistakes due to poor drawings.

Linkedin Learning – Advanced NLP with Python for Machine Learning

Linkedin Learning – Advanced NLP with Python for Machine Learning-ZH
English | Size: 322.03 MB
Category: Tutorial


An incredible amount of unstructured text data is generated every day by social media, web pages, and a variety of other sources. But without the ability to tame and harness that data, you’ll be unable to glean any value from it. In this course, learn how to translate messy text data into powerful insights using Python. Instructor Derek Jedamski begins with a quick review of foundational NLP concepts, including how to clean text data and build a model on top of vectorized text. He then jumps into more complex topics such as word2vec, doc2vec, and recurrent neural networks. To wrap up the course, he lends these concepts a real-world context by applying them to a machine learning problem.