🔥Post Graduate Program In AI And Machine Learning:
🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15):
This video, "Top 10 Mind-Blowing AI Tools For 2023" by Simplilearn, will take you through the 10 Best AI tools for 2023 you should know to make your daily life easy and more convenient. In this video, we'll cover several AI tools for domains like development, marketing, content creation, and even SEO (Search Engine Optimization.) Toward the end, you will understand which tool you should use according to the requirements. Below are the topics we are covering in this video.
00:00 Top 10 Mind-Blowing AI Tools For 2023
01:45 ChatGPT
08:24 Pictory AI
12:12 Durable AI
14:18 Brand Mark AI
16:55 Quickpen AI
19:59 MiniGPT
22:44 Jasper AI
25:55 Perplexity AI
27:50 Lexica AI
29:50 Chatsonic
🔥 Free Machine Learning Course With Completion Certificate:
✅Subscribe to our Channel to learn more about the top Technologies: Check out the Machine Learning Videos By Simplilearn: #BestAITools2023 #AITools2023 #ArtificialIntelligence #AI #Simplilearn
About Post Graduate Program In AI And Machine Learning Course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
👉Enroll Now:
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
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