Continuing from our part 1 of the top techniques and tools for machine learning projects, we will provide the next set of programming languages that you could avail from online courses.
KNIME Machine Learning
KNIME recently announced KNIME ANALYTICS 4.0 platform, a welcome addition to KNIME Server. In 2019, Gartner recognized KNIME as a leader in Data Science and Machine Learning platforms.
There are only 15000 qualified KNIME technique specialists in Asia. Only 1 percent of them are in India. KNIME is deep learning programming software for advanced analytics used in data science projects. It is a enterprise software thriving in over 60 countries, yet it has only recently made its mark as a Python machine learning ally.
The KNIME Analytics Platform is Open Source software that creates thousands of machine learning projects every month. Learners can avail over 2000 nodes and visual workflow components to visualize data analytics, and automate their workflow management.
Why learn KNIME Machine Learning?
Users can connect their models to open source text formats such as PDF, and JSON. In addition, you can also merge unstructured data in a time series workflow, connecting instantly to a wide array of data warehouses, including Microsoft Azure, AWS, Oracle, Apache Hive, HDFS and so.
The platform itself uses AI and ML tools to optimize its model workflow and validate data analytics. Data validation is done using PERFORMANCE METRICS from R2, AUC and ROC.
Qlik Machine Learning
The next in line in this series of machine learning tools, we have QLIK. QLIK SENSE was launched in 2018 December to change the paradigm of data science with it self-service automation and method testing models.
Qlik Sense is a machine learning platform that imbibes the concepts of AI MLOps within cognitive and augmented intelligence ecosystem. These new machine learning capabilities auto-generate and recommend powerful insights and analytics to make search intelligence more relevant to user’s query.
The data architecture bridges the gap between user intelligence and available analytics — improving the overall ability of the ML platforms to generate higher value from every data point.
Learning Qlik Sense can set your career apart, enabling you to make the right choices between man-made analytics and ML generated analysis.
Sisense is a leading data analytics and intelligence platform for BI and analytics teams. If you are learning Python machine learning, you can aim to get into Sisense Labs– world’s most trusted and accelerated project in data science. Most online courses confuse between Sisense Research and Development and Sisense Labs. These are two different entities owned by the same company.
Within Sisense Labs, learners and trainers can work in a simulated environment for chatbot development, Real-time analytics, graphical visualization, Voice AI, and predictive. You could be working on Sisense Bot, Bulb, Amazon Echo, BloX, Insight Miner, and Sisense Quest — all related teams within the Sisense Labs.
With best Python machine learning courses, you can master the challenges of Volume, Performance, and