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Machine Learning and Deep Learning made easy
The best way to learn PyTorch
So you know how to drive (code in SQL) and now you have the keys to your first car (the link to the data set). Ready to drive? Consider this course as the test drive to accessing data in big data systems using Hive, SQL, and HBase. Just don't get stung!
So how do you control an elephant? In this context, with your mouse and a bit of patience you can install, configure and administer a Hadoop cluster. Be the envy of Zookeepers, and contribute to open source projects such as Sqoop, Flume, Oozie, and more!
If a trend is identified using big data, how can it be applied to solving complex day-to-day problems? Are there implications of using this data? This learning path addresses the principles of data science to explore data privacy, regression analysis, text analytics, data visualization and predictive modeling to promote topical awareness.
Through our guided lectures and labs, you'll first learn Neural Networks, and an overview of Deep Learning, then get hands-on experience using TensorFlow library to apply deep learning on different data types to solve real world problems.
Designing cloud-native systems and microservices requires architects and teams to think differently. The Lightbend Reactive Architecture learning path teaches development managers, architects, and software developers - how to think about Reactive Systems from design through to production.
Through our guided lectures and labs, you'll get hands-on experience tackling interesting data problems. This is an action-packed learning path for data science enthusiasts who want to learn about data analysis, accessing databases with R, and visualization.
Learn how to code in Python for data science, then analyze and visualize data with Python with packages like scikit-learn, matplotlib and bokeh. This is an action-packed learning path for data science enthusiasts and aspiring data scientists who want to learn data science hands-on with Python.
Learn how to manage Big Data and get insight from it with IBM’s Big Data tools. You will learn how to store, mange and access data using technologies such as Hadoop and Spark as implemented by the IBM BigInsights product.
After completing this learning path, you'll understand 12-factor apps and how microservices are managed with the IBM Cloud Kubernetes Service and Istio. You'll get hands-on experience working with containers, Kubernetes, and how to deploy containerized apps. You'll learn how to deploy microservices in a cluster and how to connect, manage, and secure those microservices.
Distributed systems built on Reactive Microservices introduce new challenges and require new tools to meet those challenges. The Lightbend Reactive Architecture: Advanced learning path teaches managers, developers, and architects new techniques to help cope with the realities of distributed architectures. You will learn how the Lightbend Reactive Platform can be used to build the distributed systems of tomorrow.
Ever wonder how to program a pig and an elephant to work together? Start with dedication, a couple of tricks up your sleeve, and instructions that the beasts understand. This learning path is dedicated to address these programming requirements by filtering and sorting what you need to know and how you need to convey your message.
When a butterfly flaps its wings what happens? Does it fly away and move on to another flower or is there a spike in the rotation of wind turbines in the British Isles. Learn data science today and enter a world where we work to create order out of chaos that will blow you away!
Solid understanding and experience, with core tools, in any field promotes excellence and innovation. Apache Spark, as a general engine for large scale data processing, is such a tool within the big data realm. This learning path addresses the fundamentals of this program's design and its application in the everyday.
Are you interested in moving beyond the elephant in the room and understanding Hadoop as a foundational tool set in your future? Then select this learning path to gain exposure to the tools used in Big Data, Hadoop's core components and supporting open source projects.
To light a fire, do you use a match, a lighter, or a torch? Depends on the size of the fire, much like the decisions that lead one to use Python, R, or Scala. Spark your interest in selecting the tools you need to tackle Big Data with ease, that will not just blow out.
Are you interested in understanding 'Big Data' beyond the terms used in headlines? Then select this learning path as an introduction to tools like Apache Hadoop and Apache Spark Frameworks, which enable data to be analyzed on mass, and start the journey towards your headline discovery.
