Catalog Search Results
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning.
Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning. In this hands-on course, instructor Jonathan Fernandes covers fundamental neural and convolutional neural network concepts. Jonathan begins by providing an introduction to the components of neural networks,...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Sharing data science work can be messy. Learn how to use Docker-the popular tool for deploying and managing apps as containers-to more efficiently share machine learning models.
In a field where reproducible results are essential, Docker is rapidly emerging as one of the top tools for bringing efficiency to the work that data science teams-particularly those working in machine learning (ML)-are doing. Creating and developing ML models is often messy....
Author
Publisher
linkedin.com
Pub. Date
2021.
Language
English
Description
Learn eight things you should know to move beyond the basics of Python coding.
There are many beginner Python tutorials, but to build useful applications, you need to move beyond the basics. This course helps you on the journey to writing intermediate-level Python code. Instructor Jonathan Fernandes presents eight things that you should know how to do in Python. Topics include the Python any() and all() methods, using enumerate() and zip() methods,...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Get up and running with Apache Spark quickly. This practical hands-on course shows Python users how to work with Apache PySpark to leverage the power of Spark for data science.
Want to get up and running with Apache Spark as soon as possible? If you're well versed in Python, the Spark Python API (PySpark) is your ticket to accessing the power of this hugely popular big data platform. This practical, hands-on course helps you get comfortable with...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn how to use OpenCV, the popular computer vision library, to run pretrained deep learning models.
Deep learning is a fairly recent and hugely popular branch of artificial intelligence (AI) that finds patterns and insights in data, including images and video. Its layering and abstraction give deep learning models almost human-like abilities-including advanced image recognition. Using OpenCV-a widely adopted computer vision software-you can run...
Author
Publisher
linkedin.com
Pub. Date
2023.
Language
English
Description
Get a sneak peek at GPT-4, the latest version of the popular AI software that interacts with large language models and generates content as natural text or code.
The next generation of GPT is here, and it's time to get up to speed. The latest version, GPT-4, takes all the core functionalities of GPT-3.5 and reworks them for more reliable, consistent results and higher performance delivered at speed. Join data science consultant and AI expert Jonathan...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Artificial intelligence is taking the world by storm. In this course, learn what it takes to successfully implement this exciting technology in your organization.
Artificial intelligence (AI) is taking the world by storm. Manufacturing, healthcare, and a host of other industries are steadily adopting this technology to streamline processes, enhance predictability, and generally keep ahead of the curve. In this course, discover what it takes to successfully...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Explore the basics of deep learning using PyTorch. Learn about the components of an image recognition model using the Fashion MNIST dataset.
PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It's gained admiration from industry leaders due to its deep integration with Python; its integration with top cloud platforms, including Amazon SageMaker...
Author
Publisher
linkedin.com
Pub. Date
2023.
Language
English
Description
Explore advanced strategies in artificial intelligence and machine learning with model transformers for computer vision.
Transformers are quickly becoming the go-to architecture for many computer vision tasks. If you work in the field, it's a must-have skill to keep on hand in your AI toolkit. In this course, AI consultant Jonathan Fernandes takes you on a deep dive into the world of transfer learning and transformer model architecture. Explore the...
Author
Publisher
linkedin.com
Pub. Date
2017.
Language
English
Description
Discover how to work with the pandas library and tools for data analysis and data structuring.
pandas is an open-source library that provides high-performance, easy-to-use data structures, and data analysis tools for Python. In this intermediate-level, hands-on course, learn how to use the pandas library and tools for data analysis and data structuring. Instructor Jonathan Fernandes dives into topics such as DataFrames, basic plotting, indexing,...
Author
Publisher
linkedin.com
Pub. Date
2022.
Language
English
Description
Learn about transformers, the go-to architecture for NLP and computer vision tasks.
Transformers are taking the natural language processing (NLP) world by storm. In this course, instructor Jonathan Fernandes teaches you all about this go-to architecture for NLP and computer vision tasks and must-have skill in your Artificial Intelligence toolkit. Jonathan uses a hands-on approach to show you the basics of working with transformers in NLP and production....
Author
Publisher
linkedin.com
Pub. Date
2022.
Language
English
Description
Learn about neural networks and working with tabular data using TensorFlow.
TensorFlow 2.0 is quickly becoming one of the most popular deep learning frameworks and a must-have skill in your artificial intelligence toolkit. Using a hands-on approach, instructor Jonathan Fernandes covers foundational skills for deep learning using TensorFlow 2.0, from creating single and multi-layer networks, to training a network, and using it to make predictions....
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn how to do deep learning with images on Apache Spark, using the Databricks deep learning library and Python.
Apache Spark is widely considered to be the top platform for professionals needing to glean more comprehensive insights from their data. In this course, explore one of the most exciting aspects of this big data platform-its ability to do deep learning with images. Before he fully delves into deep learning on Spark using Python, instructor...
Author
Publisher
linkedin.com
Pub. Date
2022.
Language
English
Description
Test out your programming skills in Python by practicing with these advanced core coding challenges.
Python has quickly become one of the most popular programming languages in the world. If you're looking to land a new role or stand out from the rest of the crowd, you need to develop your advanced coding skills. Discover integrated Python coding challenges to test your understanding of advanced Python concepts, following along with instructor Jonathan...
Author
Publisher
linkedin.com
Pub. Date
2022.
Language
English
Description
Learn the ins and outs of working with images in TensorFlow 2.0
TensorFlow 2.0 is quickly becoming one of the most popular deep learning frameworks and a must-have skill in your artificial intelligence toolkit. Using a hands-on approach, machine learning and AI model expert Jonathan Fernandes shows you the basics of working with images-both grayscale and color-in TensorFlow, and explores transfer learning and other training enhancements such as ModelCheckpoint,...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Discover how to implement transfer learning using PyTorch, the popular machine learning framework.
After its debut in 2017, PyTorch quickly became the tool of choice for many deep learning researchers. In this course, Jonathan Fernandes shows you how to leverage this popular machine learning framework for a similarly buzzworthy technique: transfer learning. Using a hands-on approach, Jonathan explains the basics of transfer learning, which enables...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Get started with AWS DeepLens, the world's first deep learning-enabled video camera for developers.
AWS DeepLens is the world's first deep learning-enabled video camera for developers. In this hands-on course, instructor Jonathan Fernandes helps you get started with this exciting new tool. Jonathan kicks off the course by acquainting you with how DeepLens works, how to set it up, and how to troubleshoot common issues. Next, he guides you through...
Author
Publisher
linkedin.com
Pub. Date
2020.
Language
English
Description
Regain your footing after a job loss. Explore industry trends, opportunities in the tech space, and steps you can take to land a job that better aligns with your career goals.
Bouncing back after a job loss can feel like both a professional and personal challenge. This course was designed to help you regain your footing. Join instructor Jonathan Fernandes as he provides guidance and actionable steps you can take to regain employment in the tech industry....
Author
Publisher
linkedin.com
Pub. Date
2020.
Language
English
Description
Learn how to use decorators to add functionality to your Python projects.
Decorators are an increasingly important feature in Python. They add functionality to an existing object without permanently modifying it. Being able to use decorators effectively is critical to working with larger Python projects and frameworks. In this course, Jonathan Fernandes explains what decorators are and why they are used so extensively in production projects. He explains...
Author
Publisher
linkedin.com
Pub. Date
2022.
Language
English
Description
Explore a user-friendly approach to working with transformers and large language models for natural language processing.
Transformers have quickly become the go-to architecture for natural language processing (NLP). As a result, knowing how to use them is now a business-critical skill in your AI toolbox. In this course, instructor Jonathan Fernandes walks you through many of the key large language models (LLMs) developed since OpenAI first released...
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