ML Engineer

Learn • Build • Grow

[Bhagirath Deshani @DynamoB7]

Useful Links:

🔗 Release Notes: https://t.co/xIkKbG92QK

🔗 Pricing Page: https://t.co/OBSPGTOH9c

[Bhagirath Deshani @DynamoB7]

Breaking: #ChatGPT and #WhisperAPI are now available for #developers!

Let's explore the pricing and implication predictions.

Thread 🧵 ⬇️

[Bhagirath Deshani @DynamoB7]

#105 Machine Learning & Data Science Challenge 105

"What is Exponential smoothing?"

@hashnode

#MachineLearning #DataScience
#2Articles1Week #hashnode
#AI

https://t.co/N1awDYmNne

[Bhagirath Deshani @DynamoB7]

#106 Machine Learning & Data Science Challenge 106

"What are Tensors?"

@hashnode

#MachineLearning
#DataScience
#2articles1week
#TensorFlow
#hashnode

https://t.co/Chxvpf6u1e

[Bhagirath Deshani @DynamoB7]

#107 Machine Learning & Data Science Challenge 107

"What are Tensors?"

@hashnode

#MachineLearning
#DataScience
#TensorFlow
#2articles1week
#hashnode
https://t.co/JMycFeTG0l

[Bhagirath Deshani @DynamoB7]

#108 Machine Learning & Data Science Challenge 108

"What is TensorBoard?"

@hashnode

#MachineLearning
#DataScience
#TensorFlow
#2articles1week
#hashnode

https://t.co/84wO1vXT5j

[Bhagirath Deshani @DynamoB7]

#95 Machine Learning & Data Science Challenge 95

"What is the process for checking static data?"
@hashnode

#MachineLearning #DataScience #2articles1week #hashnode #programmingblogs #blog #statistics #AI

https://t.co/VLpfSviir4

[Bhagirath Deshani @DynamoB7]

#96 Machine Learning & Data Science Challenge 96

"What are ACF and PACF?"
@hashnode

#MachineLearning #DataScience #2articles1week #hashnode #PACF #programmingblogs #blog #ACF

https://t.co/p9VDNiD1QQ

[Bhagirath Deshani @DynamoB7]

#97 Machine Learning & Data Science Challenge 97

"What do you understand by the trend of data?"

@hashnode

#MachineLearning #DataScience
#2Articles1Week #hashnode
#regression

https://t.co/YaceVlWafd

[Bhagirath Deshani @DynamoB7]

#98 Machine Learning & Data Science Challenge 98

"What is the Augmented Dickey-Fuller Test?"

@hashnode

#MachineLearning #DataScience
#2Articles1Week #hashnode #AI

https://t.co/yswFtiYNhz

[Bhagirath Deshani @DynamoB7]

#99 Machine Learning & Data Science Challenge 99

"What are AIC and BIC in time series?"

@hashnode

#MachineLearning #DataScience
#2Articles1Week #hashnode
#AIC #BIC

https://t.co/4i83rbI3KA

[Bhagirath Deshani @DynamoB7]

#100 Machine Learning & Data Science Challenge 100

"What are the components of the Time-Series?"

@hashnode

#MachineLearning #DataScience
#2Articles1Week #hashnode #AI

https://t.co/uwiwHGkzh2

[Bhagirath Deshani @DynamoB7]

#101 Machine Learning & Data Science Challenge 101

"What is Time Series Analysis?"

@hashnode

#MachineLearning #DataScience
#2Articles1Week #hashnode
#Analysis #Time

https://t.co/ysEhtyShVE

[Bhagirath Deshani @DynamoB7]

#102 Machine Learning & Data Science Challenge 102

"Give some examples of the Time-Series forecast."

@hashnode

#MachineLearning #DataScience
#2Articles1Week #hashnode
#Analysis #Time #forecast

https://t.co/diWKjzSBlm

[Bhagirath Deshani @DynamoB7]

#103 Machine Learning & Data Science Challenge 103

"What are the techniques of Forecasting?"

@hashnode

#MachineLearning #DataScience
#2Articles1Week #hashnode
#technology #techniques

https://t.co/hc8GtHJO4D

[Bhagirath Deshani @DynamoB7]

#104 Machine Learning & Data Science Challenge 104

"What is the Moving Average?"

@hashnode

#MachineLearning #DataScience
#2Articles1Week #hashnode
#Blogs

https://t.co/ByBa5LX1fC

[Bhagirath Deshani @DynamoB7]

#94 Machine Learning & Data Science Challenge 94

"What is the process to make data stationery from non-stationary time series?"
@hashnode

#MachineLearning #DataScience #2articles1week #hashnode #programmingblogs #blog

https://t.co/YG5XoSazWQ

[Bhagirath Deshani @DynamoB7]

#91 Machine Learning & Data Science Challenge 91

"What is the difference between Time series and Regression?"

@hashnode

#MachineLearning #DataScience #2articles1week #hashnode #regression #blog #Time

https://t.co/sIDdtZORbS

[Bhagirath Deshani @DynamoB7]

#92 Machine Learning & Data Science Challenge 92

"What is the difference between stationery and non-stationary data?"

@hashnode

#MachineLearning #DataScience #2articles1week #blog #programmingblogs #hashnode

https://t.co/49MPJPbKKq

[Bhagirath Deshani @DynamoB7]

#93 Machine Learning & Data Science Challenge 93

"Why you cannot take non-stationary data to solve the time series Problem?"
@hashnode

#MachineLearning #DataScience #2articles1week #hashnode #programmingblogs #blog

https://t.co/eQA389M0Jk