<prompt> Theha lenane la litsebo tsa ho kenya qalelle bakeng sa boemo ba ho ithuta mochini.nan  <response>: Instruction in English: Construct a list of skills to put on a resume for a machine learning position. . Response in English: 1. Proficiency in programming languages such as Python, R, or Matlab2. Experience with machine learning algorithms and techniques such as regression, decision trees, clustering, and neural networks3. Practical knowledge of data preprocessing and feature selection4. Familiarity with natural language processing, computer vision, or deep learning5. Strong analytical skills and the ability to work with structured and unstructured data6. Experience with data visualization and presentation7. Proficiency with machine learning libraries such as scikit-learn, TensorFlow, or Keras8. Excellent communication skills to explain complex concepts to non-technical stakeholders9. Experience with big data platforms like Apache Hadoop or Apache Spark10. Familiarity with cloud computing services such as Amazon Web Services or Google Cloud Platform11. Strong mathematical background in statistics, linear algebra, and calculus12. Demonstrated ability to think creatively and solve complex problems. . Response in Sesotho: 1. Tsebo ea lipuo tsa mananeo tse kang Python, R, kapa Matlab 2. Boiphihlelo ka mekhoa ea ho ithuta ka mochine le mekhoa e kang ho khutlela morao, lifate tsa liqeto, lihlopha, le marang-rang a methapo ea kutlo 3. Tsebo e sebetsang ea ho sebetsa pele ho data le khetho ea likarolo 4. Ho tloaelana le tlhaho ea tlhaho ho sebetsana le puo, pono ea khomphieutha, kapa ho ithuta ka botebo 5. Tsebo e matla ea ho hlahloba le bokhoni ba ho sebetsa ka boitsebiso bo hlophisitsoeng le bo sa hlophisoang 6. Boiphihlelo ka pono ea data le tlhahiso 7. Tsebo ea lilaebrari tsa ho ithuta mochine tse kang scikit-learn, TensorFlow, kapa Keras 8 . Tsebo e babatsehang ea puisano ea ho hlalosa likhopolo tse rarahaneng ho ba amehang bao e seng litsebi tsa theknoloji 9. Boiphihlelo ka lipolanete tse kholo tsa data tse kang Apache Hadoop kapa Apache Spark 10. Ho tloaelana le litšebeletso tsa cloud computing tse kang Amazon Web Services kapa Google Cloud Platform 11. Mokhoa o matla oa lipalo ka lipalo, linear algebra, and calculus 12. Bokhoni bo bontsitsoeng ba ho nahana ka boqapi le ho rarolla mathata a rarahaneng. 