Mid-term Exam November 14th, 2018 – Set B
Midterm Exam代考 What are the main “dimensions” of market data? Why market data is so“special”?Enumerate 5 different types of orders!
Questions:
- What are the main “dimensions” of market data? Why market data is so“special”?
- Enumerate 5 different types of orders!
- What is the difference between Level I and Level II market data?
- Explain in a few sentences the DIKW framework!
- Describe in a few sentences the difference between Statistical and Machine Learning! Midterm Exam代考
- Explain the comparison made by Andrew Ng between Machine Leaning and a rocket!
- What are the main criteria for checking a Time-series for stationarity?
- Explain in a few sentences how Dickey-Fuller test works!
- Define the Hidden Markov models in simple terms!
10.How many types of Anomalies did we study?
Problem 1 – Data Structures Midterm Exam代考
Construct a Linked list by defining a class Node and a class LinkedList (see examples from notebooks).
(a)Add 4 nodes to the linked list and print the linked list;
(b)Add a node at the end of the linked list and print the linked list;
(c)Insert a new node anywhere in the linked list and print the linked list.
Problem 2 – Algorithms Midterm Exam代考
By using the Py input() function, produce a numeric input List with 12 elements from the Jupyter console. Separate the numbers in the input list by spaces!
(a)Implement a Jump Search algorithm and test it on the input list. Use the optimized value for the length of the jump and test it for both the presence and the absence of a specific element!
(b)Implement a Bubble and an Insertion Sort algorithm and test them on the input list.
(c) What can on say about the time complexity of these algorithms?
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