Home Courses Applied Machine Learning Online Course Parallel programming for training and productionization of ML/AI systems [Flask & Gunicorn]

Parallel programming for training and productionization of ML/AI systems [Flask & Gunicorn]

Instructor: Applied AI Course

Notes:https://drive.google.com/file/d/1WA9IOMoegYleUvgxxUYVHFMPjYpzzwCV/view?usp=sharing

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Multi-Processing & Multithreading in Python for AI/ML
SQL: Importance and Sample Problems

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1.1
How to Learn from Appliedaicourse

35 min
1.2
How the Job Guarantee program works
16 min
2.1
Python, Anaconda and relevant packages installations

23 min
2.2
Why learn Python?

4 min
2.3
Keywords and identifiers

6 min
2.4
comments, indentation and statements

9 min
2.5
Variables and data types in Python

32 min
2.6
Standard Input and Output

7 min
2.7
Operators

14 min
2.8
Control flow: if else

10 min
2.9
Control flow: while loop

16 min
2.10
Control flow: for loop

15 min
2.11
Control flow: break and continue

10 min
3.1
Lists

38 min
3.2
Tuples part 1

10 min
3.3
Tuples part-2

4 min
3.4
Sets

16 min
3.5
Dictionary

21 min
3.6
Strings

16 min
4.1
Introduction
13 min
4.2
Types of functions
25 min
4.3
Function arguments
10 min
4.4
Recursive functions
16 min
4.5
Lambda functions
8 min
4.6
Modules
7 min
4.7
Packages
6 min
4.8
File Handling
23 min
4.9
Exception Handling
15 min
4.10
Debugging Python
15 min
5.1
Numpy Introduction
41 min
5.2
Numerical operations on Numpy
41 min
6.1
Getting started with Matplotlib
20 min
7.1
Getting started with pandas
8 min
7.2
Data Frame Basics
9 min
7.3
Key Operations on Data Frames
31 min
8.1
Space and Time Complexity: Searching for a number in a list
20 min
8.2
Binary search
17 min
8.3
Find elements common in two lists
6 min
8.4
Find elements common in two lists using a Hashtable/Dict
12 min
9.1
Introduction to Databases
22 min
9.2
Why SQL?
15 min
9.3
Execution of an SQL statement.
7 min
9.4
IMDB dataset
12 min
9.5
Installing MySQL
11 min
9.6
Load IMDB data.
4 min
9.7
USE, DESCRIBE, SHOW TABLES
15 min
9.8
SELECT
20 min
9.9
LIMIT, OFFSET
10 min
9.10
ORDER BY
6 min
9.11
DISTINCT
10 min
9.12
WHERE, Comparison operators, NULL
13 min
9.13
Logical Operators
27 min
9.14
Aggregate Functions: COUNT, MIN, MAX, AVG, SUM
8 min
9.15
GROUP BY
13 min
9.16
HAVING
12 min
9.17
Order of keywords.
4 min
9.18
Join and Natural Join
12 min
9.19
Inner, Left, Right and Outer joins.
23 min
9.20
Sub Queries/Nested Queries/Inner Queries
24 min
9.21
DML:INSERT
7 min
9.22
DML:UPDATE , DELETE
6 min
9.23
DDL:CREATE TABLE
12 min
9.24
DDL:ALTER: ADD, MODIFY, DROP
4 min
9.25
DDL:DROP TABLE, TRUNCATE, DELETE
3 min
9.26
Data Control Language: GRANT, REVOKE
10 min
9.27
Learning resources
3 min