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![Advert keynote presentation - 2015
AI and Machine Learning
2
04
Artificial intelligence was founded as an academic discipline in 1955
Human Simulation and automation is a big part of today and future from now.
The field of AI research was born at a workshop at Dartmouth College in 1956,[32] where the term
"Artificial Intelligence" was coined by John McCarthy to distinguish the field from cybernetics and
escape the influence of the cyberneticist Norbert Wiener.
Machine learning (ML), a fundamental concept of AI research since the field's inception,[113] is the
study of computer algorithms that improve automatically through experience
The term machine learning was coined in 1959 by Arthur Samuel, an American IBMer and pioneer in
the field of computer gaming and artificial intelligence.
Lets watch few video clips & Begin ->](https://image.slidesharecdn.com/fdpvikalpsharma-200616055125/75/FDP-Presentation-by-Vikalp-Sharma-on-Machine-Learning-and-AI-2-2048.jpg)
![Advert keynote presentation - 2015
AI and Machine Learning
2
04
Artificial intelligence was founded as an academic discipline in 1955
Human Simulation and automation is a big part of today and future from now.
The field of AI research was born at a workshop at Dartmouth College in 1956,[32] where the term
"Artificial Intelligence" was coined by John McCarthy to distinguish the field from cybernetics and
escape the influence of the cyberneticist Norbert Wiener.
Machine learning (ML), a fundamental concept of AI research since the field's inception,[113] is the
study of computer algorithms that improve automatically through experience
The term machine learning was coined in 1959 by Arthur Samuel, an American IBMer and pioneer in
the field of computer gaming and artificial intelligence.
Lets watch few video clips & Begin ->](https://crownmelresort.com/image.slidesharecdn.com/fdpvikalpsharma-200616055125/75/FDP-Presentation-by-Vikalp-Sharma-on-Machine-Learning-and-AI-2-2048.jpg)
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FDP Presentation by Vikalp Sharma on Machine Learning and AI
- 1. Advert keynote presentation- 2015 Machine Learning Real Time Applications with Algorithm Approach Presentation on FDP TRYLOGIC SOFT SOLUTIONS AP PVT LTD Prepared By- Vikalp Sharma
- 2. Advert keynote presentation- 2015 AI and Machine Learning 2 04 Artificial intelligence was founded as an academic discipline in 1955 Human Simulation and automation is a big part of today and future from now. The field of AI research was born at a workshop at Dartmouth College in 1956,[32] where the term "Artificial Intelligence" was coined by John McCarthy to distinguish the field from cybernetics and escape the influence of the cyberneticist Norbert Wiener. Machine learning (ML), a fundamental concept of AI research since the field's inception,[113] is the study of computer algorithms that improve automatically through experience The term machine learning was coined in 1959 by Arthur Samuel, an American IBMer and pioneer in the field of computer gaming and artificial intelligence. Lets watch few video clips & Begin ->
- 3. Advert keynote presentation- 2015 Machine Learning Everywhere 3 04
- 4. Advert keynote presentation- 2015 A Brief on Machine Learning 4 04
- 5. Advert keynote presentation- 2015 Flow of Machine Learning 5 04
- 6. Advert keynote presentation- 2015 A Brief on Machine Learning 6 04
- 7. Advert keynote presentation- 2015 ML: Social Media Concepts ML Working with Social Media, Mainly work as Unsupervised Learning 7 Generated Data There are reportedly 95 million Instagram posts a day, 31.25 million Facebook posts per minute, and 6,000 tweets a second. SolutionsStorage on Cloud & Need of Process Artificial Intelligence(understanding language, translation of content, making decision. Machine Learning (Subset of AI, Solving one problem, learning about the data without instructions set) Deep Learning (one from many learning mechanism, Complex structure, Deep Neuron Network) Data Need to store on the cloud, further on demand they need to presently available with the user with minimum computation time, Better utilization.
- 8. Advert keynote presentation- 2015 So What AI do Here? 8 Understanding different Data text, Image , Multimedia Understanding Multiple Languages and conversion of content , Understanding the trends, Recommendation Generation Fake Identity Deception, Cyber Recruitment, Understanding Spam Content, Fraud or Spam Conversation 03 02 01 04
- 9. Advert keynote presentation- 2015 Own Social Media Approaches Game of Ranking Algorithm, Searching Algorithm, Recommendation Algorithms All comes with ML 9 Facebook Ad Algorithm, Timeline moved from Edge Ranking, News feed, timelines, Friend suggestion algorithm, Search etc. Tweet Ranking Algorithm, Help working with Rank, “In case you missed it” , Reverse Chronological Order, Tagging, Search etc. Advertisement algorithm strategy, Content Target strategy Settings are the options to change Algorithm from Default Algorithms, Customized timeline 03 02 01 04
- 10. Advert keynote presentation- 2015 Own Social Media Approaches Game of Ranking Algorithm, Searching Algorithm, Recommendation Algorithms All comes with ML 10 04 Ranking, Recommendation in E-Commerce, Missing value prediction from Cart. Ex- Amazon Online Advertisement, Sentiment Analysis in various platforms. Text Processing, Data Processing with social media cyber recruitment, Natural Disaster prediction based on data generation. Medical Drug & Information from Biomedical Library Analysis : Millions of structures in a chemical library. How do we identify the most promising ones? Image Processing Authentication and Disease prediction, Fingerprint matching. Network Analysis, IDS, Email Filtering, True caller etc.
- 11. Advert keynote presentation- 2015 Various types of ML 11 04
- 12. Advert keynote presentation- 2015 Tools for Machine Learning 12 Rapid Miner Studio with wiring mechanism to build process and Analysis. Java Language, Weka Tool with interactive GUI MATLAB Library and its complete tool for Machine learning, as well as image processing with machine learning approaches. Other tools such as R , Python, AWS tools and many other online tools are available. 03 02 01 04
- 13. Advert keynote presentation- 2015 Weka Tool Waikato Environment for Knowledge Analysis (Weka), developed at the University of Waikato, New Zealand. 13 04 Weka can be used to build machine learning pipelines, train classifiers, and run evaluations without having to write a single line of code. Open source (Free of cost) Machine Learning tool. WekaDeeplearning4j is a deep learning package for Weka. Weka can Run with other programming language such as R, Python and Spark
- 14. Advert keynote presentation- 2015 RapidMiner Rapid Miner is a data science software platform developed by RapidMiner that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. 14 04 Interactive platform with effective GUI, market place and many more built in github solutions. Understanding and auto conversion of Data. Model Bar and efficient search, Wiring mechanism to work with process. Rapid Miner can Run with other programming language such as R and Python.
- 15. Advert keynote presentation- 2015 MATLAB Matrix Laboratory by Math works with Faster execution and built Libraries & Tools. 15 04 Algorithms such as classification, clustering, and regression algorithms. Use classification and regression apps to interactively train, compare, tune, and export models for further analysis, integration, and deployment. If writing code is more your style, you can further optimize models with feature selection and parameter tuning. Popular classification, regression, and clustering algorithms for supervised and unsupervised learning
- 16. Advert keynote presentation- 2015 NLP (Natural Language Processing) Text analysis, Speech Analysis, Machine Translation, Chat bots 16 04 Mapping the inputs by user. Different language level analysis. Understanding POS, Pruning, Chunking and Tokenization. Decision making based on the analysis of Data. Many Chat bot such as Arogya setu decision making, Mobile banking chat etc.
- 17. Advert keynote presentation- 2015 Free Tier By AWS Amazon on ML 17 04
- 18. Advert keynote presentation- 2015 Tips & Process for ML 18 04 Learn the tools and their availability Learn to Code Learn Algorithms from research Selection of Appropriate model Understand probability and Data statistic values Data Management , Clean your data and trusted data resource, Data lifecycle Understanding new use cases, implementation and performance Analysis.
- 19. Advert keynote presentation- 2015 https://www.facebook.com/trylogicddugky/Head Office : Bhuvana Towers, #201 & 202, 2nd FLOOR, SD Road, Secunderabad, Telangana 500003 DDU GKY MP : DK3/26, DANISH KUNJ, KOLAR ROAD, BHOPAL info@trylogic.in vikalp@trylogic.in +91 91092 85858 ADDRESS PHONE & EMAIL SOCIAL MEDIA TRYLOGIC SOFT SOLUTIONS AP PVT LTD Write your relevant text here VIKALP SHARMA Whatsapp : +91 8770988973