| Mcgraw-hill science TM Mitchell, M Learning Engineering/Math 1, 27, 1997 | 104 | 1997 |
| An Artificial Intelligence Approach M Learning Edited by, 1983 | 104 | 1983 |
| Tom mitchell M Learning Publisher: McGraw Hill, 31, 1997 | 57 | 1997 |
| McGraw-Hill M Learning New York, 1997 | 54 | 1997 |
| Machine Learning: An Artificial Intelligence Approach M Learning CA, Palo Alto: Tioga 1, 1983 | 46 | 1983 |
| Machine learning M Learning Kluwer Academic Publishers 23 (2), 3, 1997 | 34 | 1997 |
| Markov logic networks R Matthew, D Pedro, M Learning Machine learning 62 (1-2), 107-136, 2006 | 32 | 2006 |
| An artificial intelligence approach, Vol. 2 M Learning H, eds. Michalskt" RS, Car, 1986 | 30 | 1986 |
| The McGraw-Hill Companies TM Mitchell, M Learning Inc., New York, 1997 | 17 | 1997 |
| Available online: https://en. wikipedia. org/wiki M Learning Deep_learning (accessed on 3 May 2017), 2022 | 16 | 2022 |
| Algorithms M Learning Real-World Applications and Research Directions Review Article-Published 2, 2021 | 12 | 2021 |
| The McGraw-Hill Companies M Learning Inc. N, 1997 | 9 | 1997 |
| model training tools: Apache Spark (https://spark. apache. org/), Dask (https://dask. org/) or Ray (https://rise. cs. berkeley. edu/projects/ray/). If application specificity … M Learning Amazon SageMaker Autopilot (https://aws. amazon. com/blogs/aws/amazon …, 0 | 9 | |
| Cybernetics M Learning V2, November, 4-5, 2002 | 8 | 2002 |
| Morgan Kaufmann M Learning Ëan Francisco, CA, 9-16, 1994 | 8 | 1994 |
| Cybernetics, 2004 M Learning Proceedings of 2005 International Conference on,(4764-4769), 2005 | 7 | 2005 |
| Stanford University M Learning Palo Alto, CA, 2019 | 6 | 2019 |
| McGraw Hill, 1997 M Learning, T Mitchell T. Mitchell, 2013 | 6 | 2013 |
| WCB TM Mitchell, M Learning McGraw-Hill, 1997 | 6 | 1997 |
| An Artificial Intelligence Approach M Learning Palo Alto, 0 | 6 | |
