Homework 3 Lecture 3
Then, Lecture 3 described how IBM runs the IBM data science methodology using IBM Watson Studio on IBM Cloud. In a nutshell, Watson Studio is IBM's software platform mainly for_______ With this platform, you can create a project with a group of collaborators, all having access to various analytics (i.e., descriptive, predictive, and prescriptive) models, and using various programming languages. Nevertheless, Lecture 3 demonstrates how to carry out data science projects in practice.
A. Data science projects
Lecture 2 taught us that IBM set out its "Data Science Methodology " to bring clarity and uniformity to existing Data Analytics Methodologies, such as CRISP—DM, _________, and SEMMA.
C. KDD
Enterprises are struggling to capture the value of data. Which of the following depicts this struggle?
a. All the above
Which of the following INCORRECLTY describes each of the three stages in the phase of Production in IBM Watson Studio?
a. At the stage of Model Development, data science team using IBM Watson Studio ask questions, such as which attributes seem promising for further analysis?, what data does the model expect to ingest and produce?, and what infrastructure is required to run this model at scale?
Data science is a team "sport." Which of the following is NOT a part of the routine tasks that a developer is asked to do?
a. Build data infrastructure. Extract, transform, and load (ETL) pipelines. Work with Spark, Hadoop, and HDFS
In Watson Studio, Data Refinery is to ________.
a. Cleanse and transform data.slide 14
The 'Profile' view, under the Refinery tab of Watson Studio, is designed to present you with which of the following pieces of information?
a. Frequency and statistics
Which of the following INCORRECLTY describes each of the three stages in the phase of Exploration in IBM Watson Studio?
a. In the phase of exploration, model implementation entails computing various diagnostic measures and other outputs such as tables and graphs, enabling the data scientist to interpret the model's quality and its efficacy in solving the problem.
Which of the following INCORRECTLY describes the differences between framework and libraries in programing?
a. Matplotlib and PixieDust are two popular framework for computing and statistical analysis.
When using Jupyter Notebooks, inevitably, you will need to import libraries such as NumPy and SciPy. Which of the following integration layers best describes this kind of activity?
a. Scientific computing and statistic packages
IBM lists many appealing features of Watson Studio when enterprises utilize it for their data science projects. Which of the following is not one of them?
a. Shared access to your data with any Watson Studio end users
With Watson Studio, enterprises can create custom classifiers and recognize custom visual concepts to process unstructured image data using ____________.
a. The neural net trained Visual Recognition service slide 30
As a data scientist doing a data science project on IBM Cloud, you are responsible for which of the following job? Of course, you are working on the project using IBM Watson Studio.
a. To transform data into knowledge to solve business problems
Using IBM Watson Studio, enterprises enable them to accelerate and optimize their projects because they can easily tap into almost all types of data assets and inject predictions into business processes and modern applications and then optimize business value with visual data science and decision optimization. In a nutshell, IBM brings all the data science methodology, roles, and tools into a data science lifecycle in IBM Cloud. Furthermore, IBM Watson Studio divides the six-stage IBM Data Science methodology into two phases: Exploration and __________.
c. Production
There are many advantages to importing static data from your local hard drive, such as ease of import and the ability to update data locally. Which of the following is a hindrance to using static data?
c. Specific use cases, such as Kaggle challenges
Now you, as a ________ are responsible for which of the following job? Although you don't always have a fully dedicated position within a data science team. You often come in at the end of the data science workflow.
c. To build Al Application that meet the requirements of the business
The dynamic dashboards of IBM Watson Studio enable enterprises to do the followings except one:
c. To create compelling and comprehensive dashboards with the mastery level of coding and knowledge of SQL slide 28
Suppose that you, a data analyst, are working on a data science project using Watson Studio (the IBM Data Science Integrated Development Environment). You are expected to fulfill all the routine tasks below except one:
c. Uses techniques, such as Machine Learning or Deep Learning to validate success of trained data science project models
When you embark on a data science project, your team should identify, choose, and process (1) types of data, (2) integrated development environment, (3) programming languages, (4) data munging libraries and tools, (5) visualization and plotting tools, (6) scientific computing and statistical packages, and (7) framework for Machine Learning and Deep Learning. Which of the following statement is NOT accurate?
c. When you need visualization and plotting tools (a piece of software), Pandas is well suited for this purpose.
The 'Communities' tab of Watson Studio provides which of the following artifacts?
d. All the above
With Watson Studio, which of the following methods allows you to access data?
d. All the above
Using Watson Studio as an integrated development environment has addressed which of the following most vexing challenges for any data scientist?
d. It has bridged the gap between data experts and domain experts
